├── .gitattributes ├── .github ├── FUNDING.yml ├── ISSUE_TEMPLATE │ ├── BUG.yml │ ├── FEATURE.yml │ └── config.yml ├── mergify.yml ├── pull_request_template.yml └── workflows │ ├── deploy-docs.yml │ └── publish.yml ├── .gitignore ├── .idea ├── .gitignore ├── inspectionProfiles │ └── profiles_settings.xml ├── misc.xml ├── modules.xml ├── nonebot-plugin-stable-diffusion-diao.iml └── vcs.xml ├── .pdm-python ├── LICENSE ├── README.md ├── README_EN.md ├── TODO ├── docs ├── .vuepress │ ├── config.ts │ ├── navbar.ts │ ├── navbar │ │ ├── en.ts │ │ ├── index.ts │ │ └── zh.ts │ ├── sidebar │ │ ├── en.ts │ │ ├── index.ts │ │ └── zh.ts │ ├── styles │ │ ├── config.scss │ │ ├── index.scss │ │ └── palette.scss │ └── theme.ts ├── README.md ├── install.md ├── main │ ├── DrawBridgeAPI.md │ ├── README.md │ ├── advance.md │ ├── aidraw.md │ ├── backend.md │ ├── config.md │ ├── images │ │ ├── catch.png │ │ ├── console.png │ │ ├── help │ │ │ ├── AI.png │ │ │ ├── VITS.png │ │ │ ├── aki-webui.png │ │ │ ├── audit.png │ │ │ ├── backend.png │ │ │ ├── control_net.png │ │ │ ├── download_hint.png │ │ │ ├── download_hint2.png │ │ │ ├── emb.png │ │ │ ├── find.png │ │ │ ├── help.png │ │ │ ├── llm.png │ │ │ ├── load_balance.png │ │ │ ├── match.png │ │ │ ├── model1.png │ │ │ ├── model2.png │ │ │ ├── model3.png │ │ │ ├── picauit.png │ │ │ ├── progress.gif │ │ │ ├── qq.png │ │ │ ├── set_backend_site.png │ │ │ ├── tagger.png │ │ │ ├── today_girl.png │ │ │ ├── token.png │ │ │ ├── token2.png │ │ │ └── xyz.png │ │ ├── i2i1.png │ │ ├── i2i2.png │ │ └── t2i.png │ └── novelai.md └── update │ └── README.md ├── nonebot_plugin_stable_diffusion_diao ├── __init__.py ├── aidraw.py ├── amusement │ ├── chatgpt_tagger.py │ ├── ramdomgirl.py │ ├── today_girl.py │ ├── vits.py │ └── wordbank.py ├── backend │ ├── __init__.py │ ├── base.py │ ├── bing.py │ ├── mj.py │ ├── naifu.py │ ├── novelai.py │ └── sd.py ├── config.py ├── config_example.yaml ├── docs │ ├── backend.md │ ├── basic.md │ ├── mange.md │ ├── model.md │ ├── other_gen.md │ ├── others.md │ ├── parameter.md │ ├── plugin.md │ └── style.md ├── extension │ ├── ADH.md │ ├── aidraw_help.py │ ├── anlas.py │ ├── civitai.py │ ├── control_net.py │ ├── daylimit.py │ ├── deepdanbooru.py │ ├── explicit_api.py │ ├── graph.py │ ├── safe_method.py │ ├── sd_extra_api_func.py │ ├── sd_on_command.py │ └── translation.py ├── fifo.py ├── locales │ ├── __init__.py │ ├── en.py │ ├── jp.py │ ├── moe_jp.py │ ├── moe_zh.py │ └── zh.py ├── manage.py ├── utils │ ├── __init__.py │ ├── aidraw_exceptions.py │ ├── benchmark.py │ ├── data.py │ ├── gradio_.py │ ├── load_balance.py │ ├── prepocess.py │ ├── save.py │ └── tagger.py └── version.py ├── package.json ├── pnpm-lock.yaml ├── pyproject.toml ├── requirements.txt └── sd-webui-api └── api.py /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2] 4 | patreon: # Replace with a single Patreon username 5 | open_collective: # Replace with a single Open Collective username 6 | ko_fi: # Replace with a single Ko-fi username 7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel 8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry 9 | liberapay: # Replace with a single Liberapay username 10 | issuehunt: # Replace with a single IssueHunt username 11 | otechie: # Replace with a single Otechie username 12 | lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry 13 | custom: ["https://afdian.net/a/senanana"] 14 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/BUG.yml: -------------------------------------------------------------------------------- 1 | name: 🐛 错误报告 (BUG REPORT) 2 | description: 报告你遇到的错误来帮助我们改进 3 | title: "[Bug]: " 4 | labels: ["bug"] 5 | assignees: 6 | - Sena-nana 7 | body: 8 | - type: markdown 9 | attributes: 10 | value: | 11 | ### ⚠️注意事项 12 | 此模板专用于报告错误，如果您打开的问题存在以下问题，它将会被直接关闭。 13 | 14 | - 你的问题并非由错误而是由于未正确使用引起 15 | - 你所报告的错误已经被报告过 16 | - 你的报告内容和错误无关而是一个功能请求或是使用咨询 17 | - 你的报告内容不清晰，无法从中推测出你遇到的问题和重现方法 18 | - 你的报告内容中使用了较老的版本并且在新版本上无法复现 19 | 20 | 请确保你已经读过了[插件文档](https://nb.novelai.dev)，并且你的问题在文档中没有列出 21 | 如果您不知道如何有效、精准地提出一个问题，我们建议您先阅读[提问的智慧](https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way/blob/main/README-zh_CN.md) 22 | 23 | - type: checkboxes 24 | id: checklist 25 | attributes: 26 | label: 报告清单 27 | description: 请确认您已遵守所有必选项。 28 | options: 29 | - label: 我已仔细阅读并了解上述注意事项 30 | - label: 我已使用最新版本测试过，确认问题依旧存在 31 | - label: 我确定在 GitHub Issues 中没有相同或相似的问题 32 | validations: 33 | required: true 34 | - type: input 35 | id: version 36 | attributes: 37 | label: 发生错误的版本号 38 | description: 不是插件名字，在shell中使用pip show nonebot-plugin-novelai可以查看 39 | placeholder: 版本号或者 Commit ID 40 | validations: 41 | required: true 42 | - type: textarea 43 | id: what_happend 44 | attributes: 45 | label: 问题描述 46 | description: 请清晰准确地描述你遇到的问题 47 | validations: 48 | required: true 49 | - type: textarea 50 | id: how_to_reproduce 51 | attributes: 52 | label: 如何复现 53 | description: 你是如何触发这个错误的，请确保你提供的方法其他人照着做能够得到同样的错误 54 | value: | 55 | 1. 我在配置文件里设置了…… 56 | 2. 我的运行环境是…… 57 | 3. 我对BOT使用的指令是…… 58 | 4. 我做的其他操作是…… 59 | 5. 发生了…… 60 | validations: 61 | required: true 62 | - type: textarea 63 | id: what_i_what 64 | attributes: 65 | label: 预期行为 66 | description: 如果该错误不存在，你期望得到的是怎样的结果 67 | - type: textarea 68 | id: log 69 | attributes: 70 | label: 日志信息 71 | description: 在这里提供任何你觉得对排查错误有帮助的日志或报错信息 72 | placeholder: | 73 | 如果你不知道该写什么，那就把Nonebot和gocq窗口的所有看起来像是报错的一部分的东西全都截图或者复制放在这里 74 | 记得将你的敏感信息打码 75 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/FEATURE.yml: -------------------------------------------------------------------------------- 1 | name: ✨ 功能需求 (FEATURE REPORT) 2 | description: 为项目提出一个新的想法或建议 3 | title: "[Feature]: " 4 | labels: ["enhancement"] 5 | assignees: 6 | - Sena-nana 7 | body: 8 | - type: markdown 9 | attributes: 10 | value: | 11 | ### ⚠️注意事项 12 | 此模板专用于报告功能需求，如果您打开的问题存在以下问题，它将会被直接关闭。 13 | 14 | - 你的需求是不可能会加入的或是不可能实现的 15 | - 你所报告的需求已经被报告过 16 | - 你的报告内容和需求无关而是一个错误反馈或是使用咨询 17 | - 你的报告内容不清晰，无法从中推测出你想要的功能 18 | 19 | 请确保你已经读过了[插件文档](https://nb.novelai.dev)，并且你的功能在文档中没有列出 20 | 如果您不知道如何有效、精准地提出一个问题，我们建议您先阅读[提问的智慧](https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way/blob/main/README-zh_CN.md) 21 | 22 | - type: checkboxes 23 | id: checklist 24 | attributes: 25 | label: 报告清单 26 | description: 请确认您已遵守所有必选项。 27 | options: 28 | - label: 我已仔细阅读并了解上述注意事项 29 | - label: 我已使用最新版本测试过，确认功能尚未实现 30 | - label: 我确定在 GitHub Issues 中没有相同或相似的需求 31 | validations: 32 | required: true 33 | - type: textarea 34 | id: what_happend 35 | attributes: 36 | label: 需求原因 37 | description: 请清晰准确地描述是什么导致你想要这个新功能 38 | validations: 39 | required: true 40 | - type: textarea 41 | id: what_i_what 42 | attributes: 43 | label: 预期行为 44 | description: 如果这个需求已经实现，那么它与现在的版本表现有什么不同 45 | validations: 46 | required: true 47 | - type: textarea 48 | id: log 49 | attributes: 50 | label: 解决方案 51 | description: 你希望以什么方式实现你的需求 52 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/config.yml: -------------------------------------------------------------------------------- 1 | blank_issues_enabled: false 2 | contact_links: 3 | - name: 💊 使用问题 4 | url: https://jq.qq.com/?_wv=1027&k=iL4Gr1Oe 5 | about: 当你觉得 这玩意我搞不懂怎么用/它没反应/它报错了但是我不确定是不是BUG 的时候点这个 -------------------------------------------------------------------------------- /.github/mergify.yml: -------------------------------------------------------------------------------- 1 | queue_rules: 2 | - name: default 3 | conditions: [] 4 | 5 | pull_request_rules: 6 | - name: 合并后删除分支 7 | conditions: 8 | - merged 9 | actions: 10 | delete_head_branch: 11 | 12 | - name: 移除过时的审查评论 13 | conditions: 14 | - author!=Sena-nana 15 | actions: 16 | dismiss_reviews: 17 | 18 | - name: 发布 PR 时分配受理人 19 | conditions: 20 | - -merged 21 | - -closed 22 | - -author~=^.*\[bot\]$ 23 | actions: 24 | assign: 25 | add_users: 26 | - Sena-nana 27 | 28 | - name: CI 静态分析通过时请求审查 29 | conditions: 30 | - -merged 31 | - -closed 32 | - "check-success=DeepSource: Python" 33 | - "check-success=Codacy Static Code Analysis" 34 | - -author=Sena-nana 35 | - -author~=^.*\[bot\]$ 36 | actions: 37 | request_reviews: 38 | users: 39 | - Sena-nana 40 | 41 | - name: CI 静态分析失败 42 | conditions: 43 | - or: 44 | - "check-failure=DeepSource: Python" 45 | - "check-failure=Codacy Static Code Analysis" 46 | actions: 47 | comment: 48 | message: "@{{author}} 这个拉取请求中存在代码质量问题, 请查看状态检查中的详细报告并修复问题" 49 | 50 | - name: 所有者添加批准标签后加入合并队列 51 | conditions: 52 | - author=Sena-nana 53 | - label=approve 54 | actions: 55 | review: 56 | type: APPROVE 57 | 58 | - name: 审查通过后加入合并队列 59 | conditions: 60 | - "#approved-reviews-by>=1" 61 | - "#review-requested=0" 62 | - "#changes-requested-reviews-by=0" 63 | - or: 64 | - author=Sena-nana 65 | - and: 66 | - author!=Sena-nana 67 | - approved-reviews-by=Sena-nana 68 | actions: 69 | queue: 70 | name: default 71 | method: squash 72 | commit_message_template: > 73 | {{ title }} 74 | 75 | - name: 在 PR 意外取消排队时通知 76 | conditions: 77 | - 'check-failure=Queue: Embarked in merge train' 78 | actions: 79 | comment: 80 | message: > 81 | @{{ author }}，此请求未能合并，已从合并队列中退出。 82 | 如果您认为您的 PR 在合并队列中失败是因为测试异常，可以通过评论'@mergifyio requeue'来重新加入队列。 83 | 更多细节可以在 "Queue: Embarked in merge train" 检查运行中找到。 84 | 85 | - name: 要求解决冲突 86 | conditions: 87 | - conflict 88 | actions: 89 | comment: 90 | message: "@{{author}} 这个 PR 中发生了冲突, 请解决此冲突" 91 | label: 92 | add: 93 | - conflict 94 | 95 | - name: 解决冲突后移除 conflict 标签 96 | conditions: 97 | - -conflict 98 | actions: 99 | label: 100 | remove: 101 | - conflict 102 | 103 | - name: 合并后感谢贡献者 104 | conditions: 105 | - merged 106 | - -author=Sena-nana 107 | - -author~=^.*\[bot\]$ 108 | actions: 109 | comment: 110 | message: "@{{author}} 此 PR 已合并, 感谢你做出的贡献!" -------------------------------------------------------------------------------- /.github/pull_request_template.yml: -------------------------------------------------------------------------------- 1 | name: 🔀 和并请求 (Pull Request) 2 | description: 合并的代码中包含了对已知错误的修复 3 | assignees: 4 | - Sena-nana 5 | body: 6 | - type: markdown 7 | attributes: 8 | value: | 9 | ### ⚠️注意事项 10 | 如果你的 PR 包含了多个修复/功能增减，请将你的 PR 分割成独立的多个 PR 提交，每个 PR 仅包含一个内容实现 11 | 12 | 请善用 Github 的多 Branch 开发和 Git 的 Cherry Pick 功能 13 | 14 | 如果你的 PR 尚未完全完成，请将 PR 标记为 Draft 状态 15 | 16 | - type: dropdown 17 | id: checklist 18 | attributes: 19 | label: 这个 PR 带来了怎样的更改 20 | multiple: true 21 | options: 22 | - 错误修复 23 | - 新功能 24 | - 文档/注释变更 25 | - 代码重构 26 | - 测试用例优化 27 | - 性能优化 28 | - 交互优化 29 | - 依赖变化 30 | - 未列出的更改类型 31 | validations: 32 | required: true 33 | - type: dropdown 34 | id: break 35 | attributes: 36 | label: 这个PR是否存在会导致原本使用方法失效的破坏性变更 37 | options: 38 | - 是，并且我确保已经得到了Sena-nana的同意 39 | - 否 40 | validations: 41 | required: true 42 | - type: textarea 43 | id: what_happend 44 | attributes: 45 | label: 请清晰准确地描述你所做的更改 46 | validations: 47 | required: true 48 | - type: textarea 49 | id: why 50 | attributes: 51 | label: 你的 PR 解决了什么问题 52 | description: "如果你解决的是issue中存在的问题(例如#1和#2)，可以使用resolve #1 #2来自动关联" 53 | value: "resolve #" 54 | validations: 55 | required: true 56 | - type: checkbox 57 | id: lastcheck 58 | attributes: 59 | label: 最终检查 60 | options: 61 | - 我对我的代码进行了注释，特别是在难以理解的部分 62 | - 我的更改需要更新文档，并且已对文档进行了相应的更改 63 | - 我添加了测试并且已经在本地通过，以证明我的修复补丁或新功能有效 64 | - 我已检查并确保更改没有与其他打开的 Pull Requests 重复 65 | - type: textarea 66 | id: other 67 | attributes: 68 | label: 其他信息 69 | -------------------------------------------------------------------------------- /.github/workflows/deploy-docs.yml: -------------------------------------------------------------------------------- 1 | 2 | name: 部署文档 3 | 4 | on: 5 | push: 6 | branches: 7 | # 确保这是你正在使用的分支名称 8 | - main 9 | 10 | jobs: 11 | deploy-gh-pages: 12 | runs-on: ubuntu-latest 13 | steps: 14 | - name: Checkout 15 | uses: actions/checkout@v3 16 | with: 17 | fetch-depth: 0 18 | # 如果你文档需要 Git 子模块，取消注释下一行 19 | # submodules: true 20 | 21 | - name: 安装 pnpm 22 | uses: pnpm/action-setup@v2 23 | with: 24 | version: 7 25 | run_install: true 26 | 27 | 28 | - name: 设置 Node.js 29 | uses: actions/setup-node@v3 30 | with: 31 | node-version: 18 32 | cache: pnpm 33 | 34 | 35 | - name: 构建文档 36 | env: 37 | NODE_OPTIONS: --max_old_space_size=8192 38 | run: |- 39 | pnpm run docs:build 40 | > docs/.vuepress/dist/.nojekyll 41 | 42 | - name: 部署文档 43 | uses: JamesIves/github-pages-deploy-action@v4 44 | with: 45 | # 这是文档部署到的分支名称 46 | branch: gh-pages 47 | folder: docs/.vuepress/dist 48 | -------------------------------------------------------------------------------- /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | name: Publish Python 🐍 distributions 📦 to PyPI 2 | 3 | on: 4 | release: 5 | types: [created] 6 | 7 | jobs: 8 | build-n-publish: 9 | name: Build and publish Python 🐍 distributions 📦 to PyPI 10 | runs-on: ubuntu-20.04 11 | steps: 12 | - uses: actions/checkout@master 13 | - name: Set up Python 3.8 14 | uses: actions/setup-python@v2 15 | with: 16 | python-version: 3.8 17 | - name: Install pypa/build 18 | run: >- 19 | python -m 20 | pip install 21 | build 22 | --user 23 | - name: Build a binary wheel and a source tarball 24 | run: >- 25 | python -m 26 | build 27 | --sdist 28 | --wheel 29 | --outdir dist/ 30 | . 31 | - name: Publish distribution 📦 to PyPI 32 | if: startsWith(github.ref, 'refs/tags') 33 | uses: pypa/gh-action-pypi-publish@master 34 | with: 35 | password: ${{ secrets.PYPI_API_TOKEN }} 36 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | 131 | setup.py 132 | test/ 133 | .pdm.toml 134 | pdm.lock 135 | test.* 136 | # Logs 137 | logs 138 | *.log 139 | npm-debug.log* 140 | yarn-debug.log* 141 | yarn-error.log* 142 | lerna-debug.log* 143 | .pnpm-debug.log* 144 | 145 | # Diagnostic reports (https://nodejs.org/api/report.html) 146 | report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json 147 | 148 | # Runtime data 149 | pids 150 | *.pid 151 | *.seed 152 | *.pid.lock 153 | 154 | # Directory for instrumented libs generated by jscoverage/JSCover 155 | lib-cov 156 | 157 | # Coverage directory used by tools like istanbul 158 | coverage 159 | *.lcov 160 | 161 | # nyc test coverage 162 | .nyc_output 163 | 164 | # Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) 165 | .grunt 166 | 167 | # Bower dependency directory (https://bower.io/) 168 | bower_components 169 | 170 | # node-waf configuration 171 | .lock-wscript 172 | 173 | # Compiled binary addons (https://nodejs.org/api/addons.html) 174 | build/Release 175 | 176 | # Dependency directories 177 | node_modules/ 178 | jspm_packages/ 179 | 180 | # Snowpack dependency directory (https://snowpack.dev/) 181 | web_modules/ 182 | 183 | # TypeScript cache 184 | *.tsbuildinfo 185 | 186 | # Optional npm cache directory 187 | .npm 188 | 189 | # Optional eslint cache 190 | .eslintcache 191 | 192 | # Optional stylelint cache 193 | .stylelintcache 194 | 195 | # Microbundle cache 196 | .rpt2_cache/ 197 | .rts2_cache_cjs/ 198 | .rts2_cache_es/ 199 | .rts2_cache_umd/ 200 | 201 | # Optional REPL history 202 | .node_repl_history 203 | 204 | # Output of 'npm pack' 205 | *.tgz 206 | 207 | # Yarn Integrity file 208 | .yarn-integrity 209 | 210 | # dotenv environment variable files 211 | .env 212 | .env.development.local 213 | .env.test.local 214 | .env.production.local 215 | .env.local 216 | 217 | # parcel-bundler cache (https://parceljs.org/) 218 | .cache 219 | .parcel-cache 220 | 221 | # Next.js build output 222 | .next 223 | out 224 | 225 | # Nuxt.js build / generate output 226 | .nuxt 227 | dist 228 | 229 | # Gatsby files 230 | .cache/ 231 | # Comment in the public line in if your project uses Gatsby and not Next.js 232 | # https://nextjs.org/blog/next-9-1#public-directory-support 233 | # public 234 | 235 | # vuepress build output 236 | .vuepress/dist 237 | 238 | # vuepress v2.x temp and cache directory 239 | .temp 240 | .cache 241 | 242 | # Serverless directories 243 | .serverless/ 244 | 245 | # FuseBox cache 246 | .fusebox/ 247 | 248 | # DynamoDB Local files 249 | .dynamodb/ 250 | 251 | # TernJS port file 252 | .tern-port 253 | 254 | # Stores VSCode versions used for testing VSCode extensions 255 | .vscode-test 256 | 257 | # yarn v2 258 | .yarn/cache 259 | .yarn/unplugged 260 | .yarn/build-state.yml 261 | .yarn/install-state.gz 262 | .pnp.* 263 | 264 | node_modules/ 265 | docs/.vuepress/.cache/ 266 | docs/.vuepress/.temp/ 267 | docs/.vuepress/dist/ 268 | node_modules 269 | 270 | setup.bat 271 | test* 272 | .VSCodeCounter.pdm-python 273 | -------------------------------------------------------------------------------- /.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /shelf/ 3 | /workspace.xml 4 | -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | 8 | 10 | -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/nonebot-plugin-stable-diffusion-diao.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 14 | -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /.pdm-python: -------------------------------------------------------------------------------- 1 | C:/Users/43701/github/diao/pre_release/test/.venv/Scripts/python.EXE -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Sena 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README_EN.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/README_EN.md -------------------------------------------------------------------------------- /TODO: -------------------------------------------------------------------------------- 1 | 不从图片读取元数据 2 | 下载图片更换httpx -------------------------------------------------------------------------------- /docs/.vuepress/config.ts: -------------------------------------------------------------------------------- 1 | import { defineUserConfig } from "vuepress"; 2 | import theme from "./theme"; 3 | import { searchPlugin } from "@vuepress/plugin-search"; 4 | export default defineUserConfig({ 5 | lang: "zh-CN", 6 | title: "nonebot-plugin-novelai", 7 | description: "基于Nonebot的novelai使用说明书", 8 | theme, 9 | shouldPrefetch: false, 10 | plugins:[ 11 | searchPlugin({ 12 | locales: { 13 | '/': { 14 | placeholder: '搜索', 15 | },}, 16 | isSearchable: (page) => page.path !== '/', 17 | }), 18 | ], 19 | }); 20 | -------------------------------------------------------------------------------- /docs/.vuepress/navbar.ts: -------------------------------------------------------------------------------- 1 | import { navbar } from "vuepress-theme-hope"; 2 | 3 | export default navbar([ 4 | { 5 | text: "使用手册", 6 | icon: "creative", 7 | link: "/main/", 8 | }, 9 | { 10 | text: "更新日志", 11 | icon: "creative", 12 | link: "/update/", 13 | }, 14 | { 15 | text: "友链", 16 | icon: "creative", 17 | children: [ 18 | { 19 | text: "Nonebot2主页", 20 | icon: "creative", 21 | link: "https://nb2.baka.icu/", 22 | }, 23 | { 24 | text: "Novelai Bot说明书", 25 | icon: "creative", 26 | link: "https://bot.novelai.dev/", 27 | }, 28 | { 29 | text: "MagiaHonkai", 30 | icon: "markdown", 31 | link: "https://sena-nana.github.io/", 32 | }, 33 | { 34 | text: "关于星奈", 35 | icon: "creative", 36 | link: "https://github.com/sena-nana", 37 | }, 38 | ], 39 | }, 40 | ]); 41 | -------------------------------------------------------------------------------- /docs/.vuepress/navbar/en.ts: -------------------------------------------------------------------------------- 1 | import { navbar } from "vuepress-theme-hope"; 2 | 3 | export const enNavbar = navbar([ 4 | "/", 5 | { text: "Demo", icon: "discover", link: "/demo/" }, 6 | { 7 | text: "Guide", 8 | icon: "creative", 9 | prefix: "/guide/", 10 | children: [ 11 | { 12 | text: "Bar", 13 | icon: "creative", 14 | prefix: "bar/", 15 | children: ["baz", { text: "...", icon: "more", link: "" }], 16 | }, 17 | { 18 | text: "Foo", 19 | icon: "config", 20 | prefix: "foo/", 21 | children: ["ray", { text: "...", icon: "more", link: "" }], 22 | }, 23 | ], 24 | }, 25 | { 26 | text: "V2 Docs", 27 | icon: "note", 28 | link: "https://vuepress-theme-hope.github.io/v2/", 29 | }, 30 | ]); 31 | -------------------------------------------------------------------------------- /docs/.vuepress/navbar/index.ts: -------------------------------------------------------------------------------- 1 | export * from "./en.js"; 2 | export * from "./zh.js"; 3 | -------------------------------------------------------------------------------- /docs/.vuepress/navbar/zh.ts: -------------------------------------------------------------------------------- 1 | import { navbar } from "vuepress-theme-hope"; 2 | 3 | export const zhNavbar = navbar([ 4 | "/zh/", 5 | { text: "案例", icon: "discover", link: "/zh/demo/" }, 6 | { 7 | text: "指南", 8 | icon: "creative", 9 | prefix: "/zh/guide/", 10 | children: [ 11 | { 12 | text: "Bar", 13 | icon: "creative", 14 | prefix: "bar/", 15 | children: ["baz", { text: "...", icon: "more", link: "" }], 16 | }, 17 | { 18 | text: "Foo", 19 | icon: "config", 20 | prefix: "foo/", 21 | children: ["ray", { text: "...", icon: "more", link: "" }], 22 | }, 23 | ], 24 | }, 25 | { 26 | text: "V2 文档", 27 | icon: "note", 28 | link: "https://vuepress-theme-hope.github.io/v2/zh/", 29 | }, 30 | ]); 31 | -------------------------------------------------------------------------------- /docs/.vuepress/sidebar/en.ts: -------------------------------------------------------------------------------- 1 | import { sidebar } from "vuepress-theme-hope"; 2 | 3 | export const enSidebar = sidebar({ 4 | "/": [ 5 | "", 6 | { 7 | icon: "discover", 8 | text: "Demo", 9 | prefix: "demo/", 10 | link: "demo/", 11 | children: "structure", 12 | }, 13 | { 14 | text: "Docs", 15 | icon: "note", 16 | prefix: "guide/", 17 | children: "structure", 18 | }, 19 | "slides", 20 | ], 21 | }); 22 | -------------------------------------------------------------------------------- /docs/.vuepress/sidebar/index.ts: -------------------------------------------------------------------------------- 1 | export * from "./en.js"; 2 | export * from "./zh.js"; 3 | -------------------------------------------------------------------------------- /docs/.vuepress/sidebar/zh.ts: -------------------------------------------------------------------------------- 1 | import { sidebar } from "vuepress-theme-hope"; 2 | 3 | export const zhSidebar = sidebar({ 4 | "/zh/": [ 5 | "", 6 | { 7 | icon: "discover", 8 | text: "案例", 9 | prefix: "demo/", 10 | link: "demo/", 11 | children: "structure", 12 | }, 13 | { 14 | text: "文档", 15 | icon: "note", 16 | prefix: "guide/", 17 | children: "structure", 18 | }, 19 | "slides", 20 | ], 21 | }); 22 | -------------------------------------------------------------------------------- /docs/.vuepress/styles/config.scss: -------------------------------------------------------------------------------- 1 | // you can change config here 2 | $code-lang: "css" "html" "js" "ts" "vue"; 3 | -------------------------------------------------------------------------------- /docs/.vuepress/styles/index.scss: -------------------------------------------------------------------------------- 1 | // place your custom styles here 2 | -------------------------------------------------------------------------------- /docs/.vuepress/styles/palette.scss: -------------------------------------------------------------------------------- 1 | $theme-color: #e05052; 2 | -------------------------------------------------------------------------------- /docs/.vuepress/theme.ts: -------------------------------------------------------------------------------- 1 | import { hopeTheme } from "vuepress-theme-hope"; 2 | import navbar from "./navbar"; 3 | 4 | export default hopeTheme({ 5 | hostname: "https://sena-nana.github.io/MutsukiDocs", 6 | author: { 7 | name: "星奈 Sena", 8 | url: "https://github.com/sena-nana", 9 | }, 10 | 11 | //pure:true, 12 | themeColor:{ 13 | blue: "#2196f3", 14 | red: "#f26d6d", 15 | green: "#3eaf7c", 16 | orange: "#fb9b5f", 17 | }, 18 | backToTop:true, 19 | iconAssets: "iconfont", 20 | logo: "", 21 | repo: "sena-nana/MutsukiBot", 22 | lastUpdated:true, 23 | navbar: navbar, 24 | sidebar: { 25 | "/main/":"structure", 26 | "/update/":"structure", 27 | }, 28 | footer: "后面没有了哦~", 29 | displayFooter: true, 30 | copyright:"MIT Licensed / CC-BY-NC-SA | Copyright © 2022-present 星奈 Sena", 31 | pageInfo: ["Author", "ReadingTime","Word"], 32 | encrypt: { 33 | config: { 34 | "/guide/encrypt.html": ["1234"], 35 | }, 36 | }, 37 | plugins: { 38 | blog: { 39 | autoExcerpt: true, 40 | }, 41 | git:{ 42 | updatedTime: true, 43 | contributors:true, 44 | createdTime:false, 45 | }, 46 | photoSwipe:{}, 47 | pwa:{ 48 | showInstall: true, 49 | }, 50 | sitemap:{}, 51 | mdEnhance: { 52 | gfm:true, 53 | container:true, 54 | tabs:true, 55 | codetabs:true, 56 | align:true, 57 | tasklist:true, 58 | flowchart:true, 59 | stylize:[], 60 | presentation: false, 61 | }, 62 | }, 63 | }); 64 | -------------------------------------------------------------------------------- /docs/README.md: -------------------------------------------------------------------------------- 1 | --- 2 | home: true 3 | icon: home 4 | title: Nonebot-plugin-novelai 5 | heroImage: 6 | heroText: MutsukiBot 7 | tagline: 基于Nonebot的novelai使用说明书 8 | actions: 9 | - text: 使用手册 10 | link: /main 11 | type: primary 12 | - text: 更新日志 13 | link: /update 14 | 15 | features: 16 | - title: 世界第一可爱的梦月酱 17 | icon: creative 18 | details: 欸嘿~ 19 | link: / 20 | 21 | copyright: MIT Licensed / CC-BY-NC-SA | Copyright © 2022-present 星奈 Sena 22 | footer: 后面没有了哦~ 23 | --- 24 | -------------------------------------------------------------------------------- /docs/install.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/docs/install.md -------------------------------------------------------------------------------- /docs/main/DrawBridgeAPI.md: -------------------------------------------------------------------------------- 1 | ## 插件第一次启动会将模板配置文件复制到 机器人路径/config/dbapi_config.yaml 下 2 | ### 我们重点关注liblib AI / seaart / yunjie 因为它好用而且没有人机验证, 雕雕大力适配liblibai(还没适配图生图) 3 | ```yaml 4 | liblibai_setting: 5 | # https://www.liblib.art/ #登陆账号 按下F12 -> 应用 -> cookies -> https://www.liblib.art -> usertoken 的值 d812c12d83c640..... 6 | token: # 填写你的token, 可以登录好几个账号, 接下来列表的每一项就代表一个账号对应的模型 7 | - d812c12d83c640... 8 | - 只要token填上了也算一个后端哦 9 | - token3 # 我们新增了2个token, 所以, 也请你补全下面的各种配置项 10 | - token4 11 | # 模型id获取方法 https://www.liblib.art/sd 先选择喜欢的模型 先按下F12 再 生图 12 | # 回到开发者控制台,网络选项 -> 找到名为 image 的请求,点击 负载 ， 请求负载 找到 checkpointId 13 | model: # 模型id 14 | - 2332049 15 | - 1135059 16 | - 对应 token3 17 | - 对应 token4 # 下面以此类推 18 | model_name: # 模型名字，仅用作标记 19 | - "DiaoDaiaMix - 二次元风格" 20 | - "Colorful Anime XL 彩璃二次元XL" 21 | xl: # 是否为XL模型 22 | - false 23 | - true 24 | flux: # 是否为FLUX模型 25 | - false 26 | - false 27 | preference: 28 | - pretags: # 内置prompt 29 | 1.5: # 1.5模式下的预设词条，上面为正面，下面为负面 30 | - '' # prompt 31 | - '' # negative prompt 32 | xl: # xl 同上 33 | - "" 34 | - "" 35 | flux: 36 | - '' 37 | - '' 38 | steps: 20 # 步数 39 | 40 | - pretags: 41 | 1.5: 42 | - '' 43 | - '' 44 | xl: 45 | - "" 46 | - "" 47 | flux: 48 | - '' 49 | - '' 50 | steps: 12 51 | ``` 52 | ### 完成配置之后, 我们需要让API知道我们需要使用哪些后端 53 | #### 这些数字代表什么呢?, 请你仔细观察下面的完整配置文件 54 | #### civitai的第一个token是0, sd_webui 后端地址的 两个backend_url分别是1和2, fal 和 replicate 的第一个token是分别是3和4, liblibai的第一个token是5 55 | #### 所以 enable_txt2img_backends: [1,5,6] 就代表使用sd_webui的第一个后端地址,以及liblibai的第一个token和第二个token进行文生图 56 | ```yaml 57 | enable_txt2img_backends: [1,5,6] # 其实, 我们是可以留空的, 留空默认使用所有后端, API会处理出现了错误无法恢复的后端, 对它进行锁定, 但是我们最好还是手动设置启动的后端 58 | enable_img2img_backends: [1] # 可用于图生图的后端 59 | enable_sdapi_backends: [1] # 可用于转发sdapi请求的后端 60 | ``` 61 | ### 完整配置文件内容如下 62 | ```yaml 63 | civitai_setting: # civitai API token 64 | token: 65 | - You token here 66 | model: 67 | '' 68 | proxy: 69 | - 70 | a1111webui_setting: # sd_webui 设置 71 | backend_url: # 后端地址 72 | - http://127.0.0.1:7860 73 | - http://127.0.0.1:7861 74 | name: # 后端备注名称 75 | - 后端1 76 | - 后端2 77 | auth: # 是否需要登录 78 | - false 79 | - false 80 | username: # 用户名 81 | - admin 82 | - admin 83 | password: # 密码 84 | - admin 85 | - admin 86 | max_resolution: # 最大分辨率，这个功能没写，暂时不生效 87 | - null 88 | - 1572864 89 | fal_ai_setting: # {"token": []} 90 | token: # 91 | - You token here 92 | model: 93 | '' 94 | replicate_setting: # {"token": []} 95 | token: # https://replicate.com/black-forest-labs/flux-schnell 96 | - You token here 97 | model: 98 | '' 99 | liblibai_setting: 100 | # https://www.liblib.art/ # 按下F12 -> 应用 -> cookies -> https://www.liblib.art -> usertoken 的值 d812c12d83c640..... 101 | token: # 102 | - d812c12d83c640... 103 | - 只要token填上了也算一个后端哦 104 | # 模型id获取方法 https://www.liblib.art/sd 先选择喜欢的模型 先按下F12 再 生图 105 | # 回到开发者控制台,网络选项 -> 找到名为 image 的请求,点击 负载 ， 请求负载 找到 checkpointId 106 | model: # 模型id 107 | - 2332049 108 | - 1135059 109 | model_name: # 模型名字，仅用作标记 110 | - "DiaoDaiaMix - 二次元风格" 111 | - "Colorful Anime XL 彩璃二次元XL" 112 | xl: # 是否为XL模型 113 | - false 114 | - true 115 | flux: # 是否为FLUX模型 116 | - false 117 | - false 118 | preference: 119 | - pretags: # 内置prompt 120 | 1.5: # 1.5模式下的预设词条，上面为正面，下面为负面 121 | - '' # prompt 122 | - '' # negative prompt 123 | xl: # xl 同上 124 | - "" 125 | - "" 126 | flux: 127 | - '' 128 | - '' 129 | steps: 20 # 步数 130 | 131 | - pretags: 132 | 1.5: 133 | - '' 134 | - '' 135 | xl: 136 | - "" 137 | - "" 138 | flux: 139 | - '' 140 | - '' 141 | steps: 12 142 | tusiart_setting: 143 | # 注意，有两个必填项，一个是token，一个是referer 144 | # https://tusiart.com/ 145 | # 按下F12 -> 应用 -> cookies -> https://tusiart.com -> ta_token_prod 的值 eyJhbGciOiJI.... 146 | token: # 147 | - eyJhbGciOiJI.... 148 | model: # 例如 https://tusiart.com/models/756170434619145524 # 取后面的数字 149 | - 708770380971558251 150 | note: 151 | - 备注 152 | referer: # 你的用户首页! 点击右上角头像，复制链接 必填！！ 153 | - https://tusiart.com/u/759763664390847335 154 | seaart_setting: 155 | # https://www.seaart.ai/ # 登录 按下F12 -> 应用 -> cookies -> https://www.seaart.ai -> T 的值 eyJhbGciOiJI.... 156 | token: 157 | - You token here 158 | model: 159 | - 160 | yunjie_setting: 161 | # https://www.yunjie.art/ # 登录 按下F12 -> 应用 -> cookies -> https://www.yunjie.art -> rayvision_aigc_token 的值 rsat:9IS5EH6vY 162 | token: 163 | - You token here 164 | model: 165 | - 166 | note: 167 | - 移动 168 | 169 | comfyui_setting: 170 | backend_url: 171 | - http://10.147.20.155:8188 172 | name: 173 | - default 174 | 175 | server_settings: 176 | # 重点! 需要启动的后端, 有些后端你没配置的话依然启动会导致API报错（虽然API会将它锁定，之后请求就不会到它） 177 | # 怎么数呢？ 比如在这个配置文件中 civitai 的第一个token是 0 a1111 的第一个后端是 1 , 第二个是2 178 | # 所以 enable_txt2img_backends: [0,1] 表示启动 civitai第一个token 和 a1111的第一个后端 179 | # 再比如 enable_txt2img_backends: [3, 4, 5] 表示启动 liblib 的所有两个token 和 tusiart的第一个token 180 | enable_txt2img_backends: [5,6,7,8,9,10,11] 181 | enable_img2img_backends: [1] 182 | enable_sdapi_backends: [1] 183 | redis_server: # 必填 Redis服务器 184 | - 127.0.0.1 # 地址 185 | - 6379 # 端口 186 | - null # redis 密码 187 | enable_nsfw_check: # 暂时没写 188 | false 189 | save_image: # 是否直接保存图片 190 | true 191 | build_in_tagger: 192 | false 193 | llm_caption: # 使用llm用自然语言打标 194 | enable: 195 | false 196 | clip: 197 | google/siglip-so400m-patch14-384 198 | llm: 199 | unsloth/Meta-Llama-3.1-8B-bnb-4bit 200 | image_adapter: # https://huggingface.co/spaces/fancyfeast/joy-caption-pre-alpha/tree/main/wpkklhc6 201 | image_adapter.pt 202 | build_in_photoai: 203 | exec_path: 204 | "C:\\Program Files\\Topaz Labs LLC\\Topaz Photo AI\\tpai.exe" 205 | 206 | backend_name_list: # 不要动！ 207 | - civitai 208 | - a1111 209 | - falai 210 | - replicate 211 | - liblibai 212 | - tusiart 213 | - seaart 214 | - yunjie 215 | - comfyui 216 | 217 | 218 | ``` -------------------------------------------------------------------------------- /docs/main/README.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: AI绘图/novelai 3 | order: 1 4 | icon: creative 5 | --- 6 | 该插件允许你将QQ作为AI绘图的前端，支持的后端为novalai官方，naifu和webui 7 | 8 | 插件讨论反馈群：[687904502](https://jq.qq.com/?_wv=1027&k=3iIEAVBN) 9 | ## FEATURE 10 | - 支持中文输入，内置Bing翻译(需申请token)和有道翻译 11 | - 支持对接多种绘画AI后端 12 | - 支持限速和绘画队列 13 | ## 已实现功能 14 | 基于 NovelAI 的画图插件。已实现功能： 15 | 16 | - 绘制图片 17 | - 更改模型、采样器、图片尺寸 18 | - 高级请求语法 19 | - 自定义违禁词表 20 | - 发送一段时间后自动撤回 21 | - 连接到私服 · NAIFU，并支持多台后端负载均衡 22 | - img2img 23 | - 速率限制 (限制每个用户每天可以调用的次数和每次调用的间隔) 24 | - 分群管理（无需打开后端即可更改某个群的设置而不影响其他群） 25 | - 模拟官方的点数管理模式 26 | - 支持本地化，用户自己的文件（以及萌萌语言x） 27 | - 支持其他插件制作扩展，以实现更加复杂的功能 28 | ## 须知 29 | 本插件使用novelai作为服务器时，需要使用F12自行抓取token 30 | 31 | 本插件使用naifu作为后端时，需要服务器的ip和端口，由于naifu在传输过程中被多次修改，产生了许多不同的版本，各版本之间的部署方式可能不尽相同。 32 | ### 其他 33 | 如果你是koishi框架的用户或者更熟悉Node.js，请出门左转[Novelai Bot](https://bot.novelai.dev/) 34 | 35 | nonebot-plugin-novelai和Novelai Bot各有擅长的部分和独特的功能，但是基本功能都能够完整的体验到。 36 | 37 | 相比之下，本插件的娱乐功能、扩展功能更加丰富，例如： 38 | 39 | - 基于点数的管理模式 40 | - 多台后端，多个模型负载均衡 41 | - 自动对中文进行翻译 42 | - 查TAG的功能 43 | - 随机组合词条生成 44 | - 查看其他人和自己的XP 45 | - 开放核心部分给其他插件供调用以扩展功能 46 | 47 | 等等 48 | 49 | 而Novelai Bot则依托于Koishi官方统一的插件标准，借助Koishi其他插件的功能，获得了更加精细的用户权限管理机制，模糊指令匹配，指令提示等。一些感觉没什么用的功能也没有在本插件中实现，例如切换至furry模型（如果真的有需求可以自己写插件调用）。 50 | 51 | 本说明很大一部分也参考了Novelai Bot的说明书（感谢） -------------------------------------------------------------------------------- /docs/main/advance.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: 进阶用法 3 | icon: markdown 4 | order: 1 5 | tag: 6 | - Markdown 7 | --- 8 | -------------------------------------------------------------------------------- /docs/main/aidraw.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: 使用 3 | icon: markdown 4 | order: 1 5 | tag: 6 | - Markdown 7 | --- 8 | 9 | ## 指令开头 10 | 11 | 每个指令都需要严格使用规定的开头，这样 BOT 才能够识别到你的命令 12 | 13 | 插件标准的开头为 **.aidraw** 例如： 14 | 15 | ``` 16 | .aidraw 可爱的萝莉 17 | ``` 18 | 19 | 除了.aidraw，你还可以使用 **绘画** , **咏唱** , **召唤**, **约稿** 以及不带"."的 **aidraw**，例如 (以下指令都是可以正常运行的)： 20 | 21 | ``` 22 | .aidraw 可爱的萝莉 23 | 绘画 超可爱的萝莉 24 | 咏唱 非常可爱的萝莉 25 | 召唤 cute loli 26 | 约稿 loli,cute 27 | aidraw loli,可爱 28 | ``` 29 | 30 | 需要注意的是，Nonebot 在 Env 中可以自定义指令的开头，这就使得你必须先输入 Env 中指定的开头，再输入插件的指令开头才能够识别到，假如你的 Env 中设置了指令以#起始，那么就需要输入#.aidraw 才能够触发 (或者#aidraw，备用指令中的 aidraw 就是为了这种情况而存在的) 31 | 32 | ## 基础用法 33 | 34 | ### 从文本生成图片 (txt2img) 35 | 36 | 输入指令开头[.aidraw]加上关键词描述即可，指令开头和关键词之间以空格分开 37 | 38 | ``` 39 | .aidraw 可爱的萝莉 40 | ``` 41 | 42 | ![.aidraw 可爱的萝莉](./images/t2i.png) 43 | ::: info 44 | 插件内置了 H 屏蔽词，并默认启动。包含屏蔽词的指令会被默认拒绝，即便你打中文也是如此 45 | ::: 46 | 47 | ### 从图片生成图片 (img2img) 48 | 49 | ::: warning 50 | 此功能在 novelai_paid 设置为 0 时无法使用 51 | ::: 52 | 53 | 1. 在以文本生图的基础上，将图片加入到消息中即可自动切换至图片生图 54 | ![.aidraw 可爱的萝莉 [图片]](./images/i2i1.png) 55 | 2. 回复带有图片的消息，并以正常方式调用即可自动切换至图片生图 56 | ![[图片] .aidraw 可爱的萝莉](./images/i2i2.png) 57 | 58 | ## 关键词 (tags) 59 | 60 | 使用关键词描述你想要的图像。多个关键词之间用逗号分隔。每一个关键词也可以由多个单词组成，单词之间可以用空格或下划线分隔。插件能够自动识别关键词中的中文部分，并将其翻译为英语。为了翻译能够更加准确，如果你想要混输中英文，请将中文和英文之间用逗号分开 61 | 62 | nonebot-plugin-novelai 会保留关键词中包含的语法，不会进行转换。因此只要后台支持，各种影响因子的语法均会正常发挥作用 63 | 64 | ### 负面关键词 (ntags) 65 | 66 | 使用 **-u** 、 **--ntags** 或 **-排除** 以添加负面关键词，避免生成不需要的内容。例如： 67 | 68 | ``` 69 | .aidraw 可爱的萝莉 --ntags nsfw 70 | ``` 71 | 72 | ### 影响因子 73 | 74 | 使用 **半角方括号 []** 包裹关键词以减弱该关键词的权重，使用 **半角花括号 {}** 包裹关键词以增强该关键词的权重。可以通过多次使用括号来进一步强调关键词。例如： 75 | 76 | ``` 77 | .aidraw [cute],{loli},{{kawaii}}} --ntags nsfw 78 | ``` 79 | 80 | 在 Stable Diffusion 中，还可以通过 **半角圆括号 ()**来增强权重，相比于花括号，圆括号增加的权重要小 81 | 82 | ::: info 83 | 除了影响因子外，关键词的顺序也会对生成结果产生影响。越重要的词应该放到越前面。插件的内置优化词条会默认放置最前方，基础词条会添加至其后 84 | ::: 85 | 86 | ### 要素混合 87 | 88 | 使用 **| (shift+\\)** 分隔多个关键词以混合多个要素。例如： 89 | 90 | ``` 91 | .aidraw black hair|white hair,loli 92 | ``` 93 | 94 | 你将得到一只缝合怪 (字面意义上)。但是某些情况下可能会产生意外奇妙的效果。 95 | 96 | 可以进一步在关键词后添加 :x 来指定单个关键词的权重，x 的取值范围是 0.1~100，默认为 1。例如： 97 | 98 | ``` 99 | .aidraw black hair:2|white hair,loli 100 | ``` 101 | 102 | 实际上，x 的取值支持-1~-0.1 的范围，这会在图片中让对应的元素消失 (变黑)，而-1 时将会得到完全的黑色。这是一个未经过严谨测试的功能，仅在 novelai 官方帮助中被简单提及。 103 | 104 | ### 基础关键词 105 | 106 | nonebot-plugin-novelai 允许 BOT 主配置基础的正面和负面词条，它们会在请求时被添加在结尾，具体如何配置见[设置](./config.md)一节 107 | 108 | 群主和管理员可以通过管理指令来设置仅在本群生效的基础关键词，具体如何配置见[管理](./manager.md)一节 109 | 110 | 如果想要手动忽略这些基础关键词，可以使用 **-o**、**--override** 或 **-不优化** 参数。 111 | 112 | ## 高级用法 113 | 114 | ### 设置分辨率 (resolution) 115 | 116 | 可以用 **-r** 、 **--resolution** 或 **-形状** 更改图片分辨率，插件内内置了部分预设，包括： 117 | 118 | - **square**:640x640，可以使用**s**或者**方**代替 119 | - **portrait**:512x768，可以使用**p**或者**高**代替 120 | - **landscape**:768x512，可以使用**l**或者**宽**代替 121 | 122 | ``` 123 | .aidraw cute,loli -r p 124 | ``` 125 | 126 | 同样地，你可以使用 x 分割宽高，来自定义分辨率： 127 | 128 | ``` 129 | .aidraw cute,loli -r 1024x1024 130 | ``` 131 | 132 | ::: info 133 | 由于 Novelai、Naifu 和 Stable Diffusion 的限制，输出图片的长宽都必须是 64 的倍数。当你输入的图片长宽不满足此条件时，我们会自动修改为接近此宽高比的合理数值。 134 | ::: 135 | ::: info 136 | 在 BOT 主限制分辨率的最大值、仅免费模式 这两种情况下，插件会自动按比例降低分辨率以小于限制。最后生成图片的分辨率可能并不与你输入的分辨率一致 137 | ::: 138 | 139 | ### 种子 (seed) 140 | 141 | AI 会使用种子来生成噪音然后进一步生成你需要的图片，每次随机生成时都会有一个唯一的种子。使用 **-s** 、 **--seed** 或 **-种子** 并传入相同的种子可以让 AI 尝试使用相同的路数来生成图片。 142 | 143 | ``` 144 | .aidraw cute,loli -s 5201314 145 | ``` 146 | 147 | 默认情况下，种子会在 1-4294967295 之间随机取值 148 | 149 | ### 迭代步数 (steps) 150 | 151 | 更多的迭代步数可能会有更好的生成效果，但是一定会导致生成时间变长。太多的 steps 也可能适得其反，几乎不会有提高。Stable Diffusion 官方说明中，写着大于 50 的步数不会再带来提升。 152 | 153 | 默认情况下的迭代步数为 28 (传入图片时为 50)，28 也是不会收费的最高步数。可以使用 **-t** 、 **--steps** 或 **-步数** 手动控制迭代步数。 154 | 155 | ``` 156 | .aidraw cute,loli -t 50 157 | ``` 158 | 159 | ### 对输入的服从度 (scale) 160 | 161 | 服从度较低时 AI 有较大的自由发挥空间，服从度较高时 AI 则更倾向于遵守你的输入。但如果太高的话可能会产生反效果 (比如让画面变得难看)。更高的值也需要更多计算。 162 | 163 | 有时，越低的 scale 会让画面有更柔和，更有笔触感，反之会越高则会增加画面的细节和锐度。 164 | 165 | | 服从度 | 行为 | 166 | | ------ | ------------------------------- | 167 | | 2~8 | 会自由地创作，AI 有它自己的想法 | 168 | | 9~13 | 会有轻微变动，大体上是对的 | 169 | | 14~18 | 基本遵守输入，偶有变动 | 170 | | 19+ | 非常专注于输入 | 171 | 172 | 默认情况下的服从度为 11。可以使用 **-c** 、 **--scale** 或 **-服从** 手动控制服从度。 173 | 174 | ``` 175 | .aidraw cute,loli -c 10 176 | ``` 177 | 178 | ### 强度 (strength) 179 | 180 | ::: info 181 | 该参数仅会在以图生图时发挥作用 182 | ::: 183 | AI 会参考该参数调整图像构成。值越低越接近于原图，越高越接近训练集平均画风。使用 **-e** 、 **--strength** 或 **-强度** 手动控制强度。 184 | 185 | | 使用方式 | 推荐范围 | 186 | | ---------------- | -------- | 187 | | 捏人 | 0.3~0.7 | 188 | | 草图细化 | 0.2 | 189 | | 细节设计 | 0.2~0.5 | 190 | | 装饰性图案设计 | 0.2~0.36 | 191 | | 照片转背景 | 0.3~0.7 | 192 | | 辅助归纳照片光影 | 0.2~0.4 | 193 | 194 | 以上取值范围来自微博画师帕兹定律的[这条微博](https://share.api.weibo.cn/share/341911942,4824092660994264.html) 195 | 196 | 个人在使用中，如果是用来生成对应姿势和大致样子的角色来获取人设灵感，会拉到 0.6~0.8。 197 | ### 噪声 (noise) 198 | ::: info 199 | 该参数仅会在以图生图时发挥作用 200 | ::: 201 | 噪声是让 AI 生成细节内容的关键。更多的噪声可以让生成的图片拥有更多细节，但是太高的值会让产生异形，伪影和杂点。 202 | 203 | 如果你有一张有大片色块的草图，可以调高噪声以产生细节内容，但噪声的取值不宜大于强度。当强度和噪声都为 0 时，生成的图片会和原图几乎没有差别。 204 | 205 | 使用 **-n** 、 **--noise** 或 **-噪声** 手动控制噪声。 206 | ### 数量 (batch) 207 | 顾名思义，数量就是同时生成多少张。在插件中，无论数量设置为多少，都是一张一张生成，最后再统一发送。即便如此，在点数模式中还是会将同时生成多张图认作消耗点数的情况。 208 | 209 | 在设置中，BOT主能够设置同时生成的最大数量，默认为3。当用户设置的值超出了最大数量，会被限制。 210 | 211 | 使用 **-b** 、 **--batch** 或 **-数量** 手动控制同时生成数量。 -------------------------------------------------------------------------------- /docs/main/backend.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: 连接Novelai 3 | icon: markdown 4 | order: 1 5 | tag: 6 | - Markdown 7 | --- 8 | -------------------------------------------------------------------------------- /docs/main/images/catch.png: -------------------------------------------------------------------------------- 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/docs/main/images/t2i.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/docs/main/images/t2i.png -------------------------------------------------------------------------------- /docs/main/novelai.md: -------------------------------------------------------------------------------- 1 | # 使用NovelAI 2 | 3 | ## 首先,登录https://novelai.net/image, 获取你的token 4 | 5 | 获取方式如下： 6 | 7 | 1. 通过代码获取： 8 | 1. 在网页中登录你的 NovelAI 账号 9 | 1. 打开控制台 (F12)，并切换到控制台 (Console) 标签页 10 | 1. 输入下面的代码并按下回车运行 11 | 12 | ```js 13 | console.log(JSON.parse(localStorage.session).auth_token); 14 | ``` 15 | 16 | 4. 你会看到如下的输出，这部分就是你的 token 17 | ![console](./images/console.png) 18 | 5. 通过抓包获取: 19 | 6. 在网页中登录你的 NovelAI 账号 20 | 7. 打开控制台 (F12)，并切换到网络 (Network) 标签页 21 | 8. 随便生成一个什么东西，你会看到左侧多了两个 generate-image 的请求，点击下面那个，右侧会弹出它的信息 22 | 9. 在标头 (Header) 一栏中寻找 authorization 一项，你会看到类似以 Bearer 开头的一长串字符 23 | 10. 在 Bearer 后面的一长串就是你的 token，如果没有就在另一个请求里找 24 | ![catch](./images/catch.png) 25 | 26 | ## 更改配置文件 27 | - 在机器人目录/config/novelai/config.yaml中找到 28 | ``` 29 | dbapi_build_in: true # 设置为true, 我们需要它来转发绘图请求 30 | ``` 31 | - 在机器人目录/config/dbapi_config.yaml中找到 (如果第一次打开dbapi_build_in,会自己创建, 重启机器人更改即可) 32 | ``` 33 | novelai_setting: 34 | token: 35 | - eyJhbGciOi... # 把你刚刚找到的token填在这里 36 | - 如果你有多个token, 可以在这里添加第二个 37 | model: 38 | - nai-diffusion-3 39 | - nai-diffusion-3 40 | ``` 41 | - 再找到 42 | 43 | ``` 44 | server_settings: 45 | # 重点! 需要启动的后端, 有些后端你没配置的话依然启动会导致API报错（虽然API会将它锁定，之后请求就不会到它） 46 | # 怎么数呢？ 比如在这个配置文件中 civitai 的第一个token是 0 a1111 的第一个后端是 1 , 第二个是2 47 | # 所以 enable_txt2img_backends: [0,1] 表示启动 civitai第一个token 和 a1111的第一个后端 48 | # 再比如 enable_txt2img_backends: [3, 4, 5] 表示启动 liblib 的所有两个token 和 tusiart的第一个token 49 | enable_txt2img_backends: [12] 50 | enable_img2img_backends: [1] 51 | enable_sdapi_backends: [1] 52 | ``` 53 | - 设置enable_txt2img_backends为[12] (默认状态下) 以启动novelai绘图,如果有2个token, 即为[12,13] 54 | ### 为什么这样/更多设置请看 [DBAPI](./DrawBridgeAPI.md) 55 | 56 | - 重启机器人, DBAPI会出现在你的最后一个后端, 之后就可以使用它进行绘图了 -------------------------------------------------------------------------------- /docs/update/README.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: novelai 3 | order: 1 4 | icon: creative 5 | --- 6 | 7 | > 目前处于功能完善阶段，可能会随着版本更新，对旧功能进行重写，导致设置格式变化、代码结构变化等多种问题，如发现之前的设置无法正常读取，请查看说明书跟进设置格式 8 | 9 | ## 0.7.0 10 | 11 | ### TODO 12 | 13 | - [ ] 类 i18n 支持 14 | - [ ] 中心-客户端模式（白嫖模式） 15 | - [ ] 加入gradio管理界面 16 | 17 | ## 0.6.0 18 | 19 | ### TODO 20 | 21 | - [ ] 负载均衡 22 | - [ ] 切换模型 23 | - [ ] 将每日次数限制改为每日点数限制 24 | - [ ] 其他指令也扩展调用方法 25 | - [ ] 重构队列算法，并对外开放 26 | - [ ] 说明书补完 27 | - [ ] 支持私聊 28 | - [ ] SUPERUSER 支持通过私聊进行群聊管理操作 29 | - [ ] 修复 Namespace 匹配报错 30 | - [ ] 修复循环引用报错 31 | - [ ] 兼容 http 开头地址 32 | - [x] 修复简洁模式开启无效的问题 33 | - [x] 修复了以图生图在部分环境下报错的问题 34 | - [ ] 修复多 bot 情况下报错 35 | - [ ] 支持 QQ 频道 36 | - [ ] 支持其他适配器 37 | - [ ] 管理员无 CD 38 | - [ ] 修复指令匹配非开头也会匹配上的问题 39 | - [x] 修复-r绕过分辨率检测的问题 40 | - [ ] 设置特定词不翻译 41 | - [ ] 修复管理插件非完全匹配问题 42 | 43 | # 0.5.X 44 | 45 | ## 0.6.0 46 | 47 | ### 修复 48 | 49 | - 修复了因为某种原因出错后，队列堵死的问题 50 | - 修复了屏蔽词不会正常生效的问题 51 | - 修复了点数模式下,最小消耗的 anlas 没有限制为 2 的问题 52 | - 修复了sd的长宽被限制在1024的问题，现在被限制为2048 53 | 54 | ## 0.5.4 55 | 56 | ### 重要更新 57 | 58 | - 兼容了 Stable Diffusion，在设置中更改 novelai_mode 为"sd"，并设置 novelai_site 为"127.0.0.1:7860"(修改为你的服务器 ip 和端口) 59 | - 必须在 SD 的 webui-user.bat 文件中，设置**set COMMANDLINE_ARGS=--api**，并使用 webui-user.bat 启动。否则 bot 无法连接到 SD 60 | 61 | ### 更新 62 | 63 | - 现在 site 为可选项，仅当你的服务器在非默认端口（naifu 为 6969，sd 为 7860）时需要设置 64 | 65 | ### 更改 66 | 67 | - 现在合并消息中，默认会显示发送者为输入指令的人，可以通过设置 novelai_antireport 为 False 关闭 68 | 69 | ### 修复 70 | 71 | - 修复了 3.10 非必要语法导致 3.9 报错的问题 72 | 73 | ## 0.5.3_20221122 74 | 75 | ### 新功能 76 | 77 | - 现在将 FIFO 更名为 AIDRAW，并且开放给其他插件，该类中包含了所有生成图片核心的部分（不包含预处理，翻译等），可以用于制作扩展 78 | - 使用**from nonebot_plugin_novelai import AIDRAW**导入 79 | - 把说明书的使用方法部分写完了 80 | 81 | ### 更改 82 | 83 | - 合并了 shape,width 和 height 参数为-r，--resolution 84 | - 自定义长宽格式为-r 1024x1024 85 | - 将约稿指令加了回来，以便 koishi 插件用户无缝适应 86 | - 将 nopre 参数改为 override，以便 koishi 插件用户无缝适应 87 | 88 | ### 修复 89 | 90 | - 修复了文本检查、翻译没能正常生效的问题 91 | - 修复了以图生图无法正常使用的问题 92 | - 修复了以图生图 tags 中会包含 CQ 码的问题 93 | - 修复了非付费模式通过手动输入长宽可以突破 640 限制的问题 94 | - 修复了打包文件不全的问题 95 | 96 | ## 0.5.2_20221122 97 | 98 | ### 修复 99 | 100 | - 紧急修复了上个版本无法正常启动的 bug 101 | 102 | ### 新功能 103 | 104 | - 加入了 novelai_size 设置，用于限制图片分辨率，默认为 1024（即生成的图片分辨率不会大于 1024\*1024） 105 | - naifu 和 novelai 无法支持大于 1024 的长宽 106 | 107 | ### 更改 108 | 109 | - 现在如果用户把后台服务器搞崩了会有提示 110 | - 现在合并消息中会显示使用的后端类型（实际是解决 bug 顺便加的 x） 111 | 112 | ## 0.5.1_20221121 113 | 114 | ### 重要更新 115 | 116 | - 兼容了 Naifu，在设置中更改 novelai_mode 为"naifu"，并设置 novelai_site 为"127.0.0.1:6969"(修改为你的服务器 ip 和端口) 117 | 118 | ### 破坏性更改 119 | 120 | - 合并了设置中部分设置 121 | - api_domain，site_domain 合并为 site 122 | - save_pic 和 save_detail 合并为 save，默认为 1（保存图片），0 为不保存，2 为保存图片和追踪信息 123 | 124 | ### 新功能 125 | 126 | - 加入了严格点数模式（novelai_paid=2，注意该值的取值方式可能会在未来进行更改） 127 | - 在严格点数模式下，无论什么时候都会计算点数，除了 superuser 128 | - 加入了每日上限模式（novelai_daylimit，值为 int，即上限的值，默认为 0 关闭） 129 | - 现在支持手动输入宽高了，并解除了 512 的限制（最大 1024） 130 | 131 | ### 修复 132 | 133 | - 修复了管理指令输入不全也会触发的问题 134 | 135 | ### 更改 136 | 137 | - 现在命令可以不带“.”，以支持 bot 本身的命令起始符号 138 | - 现在无法连接到服务器时，bot 会在前端进行提示 139 | - 现在转发消息中，tags 和 ntags 会分别单独作为一条消息，以避免消息段过长的问题。并且将图片放到了最前方 140 | 141 | ## 💥 0.5.0_20221120 142 | 143 | ### 💥 重大变更 144 | 145 | - 指令格式修改，不再以-分割参数，而是以 shell 形式解析参数 146 | - 例:.aidraw loli,cute --ntags big breast --seed 114514 147 | - 指令格式修改后，支持排除词条及其他所有需要的参数 148 | - 代码结构进行了大幅度重构 149 | - 移除了 Python3.10 的限制，并实验性地将版本要求下降至 3.8（如果不能运行再往上加 x） 150 | 151 | ### 新功能 152 | 153 | - 加入了自动撤回功能 novelai_revoke 设置，该值默认为 0，当不为 0 时为撤回 cd（单位 s） 154 | - fifo 中加入了具有可读性的时间属性，用于追踪。同时 userid，groupid 现在也会输出在 detail 文件和后台中 155 | 156 | ### 修复 157 | 158 | - 修复 superuser 权限没能正常生效的问题 159 | - 修复了生成失败时，会导致多处报错的问题 160 | - 修复了 set 功能没能正常获取设置的问题 161 | 162 | ### 优化 163 | 164 | - 将 FIFO 队列的实现由数组改为双向数组，降低了时间复杂度 165 | 166 | ### 更改 167 | 168 | - 现在 bot 未设置 nickname 时，会将名字设置为插件名以避免 api 报错 169 | - 现在图片会存放在以群号命名的文件夹中 170 | - 现在 FIFO 中，反面 tag 名称更改为 ntags，以适应理解习惯，相对应的所有正面 tag 命名统一为 tags 171 | - 现在 seed 不再默认为时间戳，而是 0-4294967295 之间随机 172 | 173 | ### 💥 废弃 174 | 175 | - 由于 AI 鉴黄 API 较为鸡肋且容易寄，注释掉了该部分代码入口，不再维护相关方法，若有需求可自行取消注释并测试 176 | 177 | # 0.4.X 178 | 179 | ## 0.4.12_20221029 180 | 181 | ### 新功能 182 | 183 | - 现在以图生图支持通过回复图片来获取图片 184 | 185 | ### 更改 186 | 187 | - 在图片数据输出中添加了 img2img 布尔值用于区分是否包含图片 188 | 189 | ### 废弃 190 | 191 | - 废弃了约稿指令，以避免产生版权方面的暗示。所有生成的图片版权与插件作者无关 192 | 193 | ### 其他 194 | 195 | - 插件已经基本稳定，进入短暂的休息期。下次更新会重构指令，并进入 0.5.0 版本 196 | 197 | ## 0.4.11_20221029 198 | 199 | ### 新功能 200 | 201 | - 添加了 novelai_pure 设置，当关闭时，图片会和数据打包为合并消息发送，开启时仅会发送图片，默认关闭 202 | - 该设置可以通过 set 功能修改 203 | - 添加了 novelai_save_detail 设置，当开启时，数据会单独保存为同名的 txt 文件，关闭时不保存，默认关闭 204 | 205 | ### 修复 206 | 207 | - 修复重置群 tag 时，会将值设为 None 的问题 208 | - 修复 set 功能 value 值中包含空格时无法完整解析的问题 209 | 210 | ### 更改 211 | 212 | - 文件名不再包含 tag 和 seed，而是统一为图片的 md5 值 213 | - 屏蔽词添加 bloody 214 | 215 | ## 0.4.10_20221027 216 | 217 | ### 修复 218 | 219 | - 修复翻译无法使用的问题 220 | 221 | ### 更改 222 | 223 | - 群设置的权限开放给 superuser，同时未满足权限会中断处理流程 224 | 225 | ## 0.4.9_20221026 226 | 227 | ### 新功能 228 | 229 | - 现在 set 功能可以输入参数全称 230 | - 现在可以通过 config 设置 novelai_uc（排除词条） 231 | - 现在 set 功能可以设置 uc（排除词条） 232 | 233 | ### 修复 234 | 235 | - 修复了调取 AI 检定 API 失败时，无法正常获取异常信息的问题 236 | - 修复了 AI 检定报错 413 的问题 237 | - 修复了文本生图时步数被固定到 50 的问题，现在会正常为 28 238 | - 修复了点数计算函数，现在会将步数计入计算 239 | - 更换了 DeepdanbooruAPI，且现在的 API 似乎准确率更高 240 | - 修复了输入单独词条时，空格会消失的问题 241 | - 修复版本更新还是会重复推送的问题 242 | 243 | ### 更改 244 | 245 | - 现在会保存为占用空间更小的 jpg 格式 246 | - 回复中使用的词条现在会包含内置词条 247 | - 现在 BOT 主不需要管理员权限也能够更改群设置 248 | - 图片现在的命名不会带有 hash，而是以顺序数字结尾 249 | - 现在 ai 检定 API 会自动重试最多三次 250 | - 现在 FIFO 类中包含了所有 novelai 参数，并将获取请求体的函数置于 FIFO 类中 251 | - 对代码进行了精简和简单注释，并尝试将与 novelai 服务器交互部分独立 252 | 253 | ### 废弃 254 | 255 | - 💥 不再支持同时对多张图片以图生图 256 | 257 | ## 0.4.8_20221024 258 | 259 | ### 新功能 260 | 261 | - 现在回复中会添加使用的词条 262 | - 分群启用支持黑白名单了 263 | - 原有的 NOVELAI_BAN 改为 NOVELAI_ON(bool),即全局开启/关闭 264 | - aidraw on 逻辑与 aidraw set 逻辑合并，可以使用.aidraw set on True 配置，同样保留了 aidraw on 的语法 265 | 266 | ### 修复 267 | 268 | - 修复了在 0.4.7 中屏蔽词误杀的问题 269 | - 修复了 DeepL 翻译引擎无法工作的问题,感谢[@pk4ever1](https://github.com/pk4ever1)帮助测试 270 | 271 | ### 更改 272 | 273 | - 删除了检查词条内容的逻辑，允许用户使用空词条（即仅使用内置词条） 274 | 275 | ## 0.4.7_20221023 276 | 277 | ### 新功能 278 | 279 | - 加入了 DeepL 翻译 API（需要进一步测试和反馈） 280 | - 打开 H 模式后，现在会自动切换到 novelai 完整模型 281 | - 现在可以通过.aidraw set 查看和设置本群的默认词条 282 | - 点数模式现在生成大图和多图也会扣除点数了，保持和官网一致 283 | - 加入了效果更好的谷歌代理免费翻译 API，默认优先级高于有道翻译 284 | 285 | ### 修复 286 | 287 | - 修复了在某些环境下导致 aiohttp 报错的问题 288 | - 修复了.aidraw set 会接受错误数据格式的问题 289 | - 修复了点数模式下文本生图也会扣除点数的问题 290 | - 修复了中英混合输入会导致翻译不符合预期的问题 291 | 292 | ### 更改 293 | 294 | - 整合了以图生图和文本生图的请求逻辑 295 | - 现在后台获取词条时将会直接显示翻译之后的词条 296 | - 将 H 屏蔽词检测移至翻译之后，去除了“裸”，添加了一大堆屏蔽词，并不再将屏蔽词加入反面词条 297 | - 将优化 TAG 精简至与官网一致 298 | 299 | ## 0.4.6_20221022 300 | 301 | ### 新功能 302 | 303 | - 现在会通过 AI 判断生成后的图片是否 nsfw，并将不同判断结果的图片存储在单独文件夹中 304 | - 现在可以修改单群的 cd 305 | - 在需要修改的群内使用.aidraw set cd 120 将 cd 修改为 120 306 | - 在群内使用.aidraw set 查看本群的设置 307 | 308 | ### 修复 309 | 310 | - 删除了启动时版本自检以解决与部分插件冲突和在 Unix 系统上报错的问题 311 | - 在 H 屏蔽词中添加”裸“以解决中文绕过 nude 关键词的问题 312 | 313 | ### 更改 314 | 315 | - 整合了以图生图和文本生图的处理逻辑 316 | 317 | ### 已知问题 318 | 319 | - DeepdanbooruAPI 寄了，查书功能暂不可用 320 | 321 | ## 0.4.5_20221020 322 | 323 | ### 新功能 324 | 325 | - 添加了在线说明书 326 | 327 | ### 修复 328 | 329 | - 修复了启用关闭功能无法正常使用的问题 330 | - 修复了 H 控制功能无法正常生效的问题 331 | - 修复了保存文件时没有正常创建 output 文件夹的问题 332 | 333 | ### 更改 334 | 335 | - CD 提醒中添加了 CD 剩余的秒数 336 | - 更新推送现在推送一次后就不会再推送了 337 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/__init__.py: -------------------------------------------------------------------------------- 1 | from . import config, manage 2 | from .aidraw import AIDRAW 3 | from nonebot.plugin import PluginMetadata 4 | from .extension.deepdanbooru import deepdanbooru 5 | from .amusement import today_girl, chatgpt_tagger, vits 6 | from .extension import sd_extra_api_func, aidraw_help, civitai, sd_on_command 7 | 8 | 9 | __plugin_meta__ = PluginMetadata( 10 | name="AI绘图", 11 | description="调用stable-diffusion进行AI绘图", 12 | usage=f"发送 绘画帮助 获取更多帮助\n基础用法:\n.aidraw[指令] [空格] loli,[参数]\n示例:.aidraw loli,cute,kawaii,\n项目地址:https://github.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao", 13 | type='application', 14 | homepage='https://github.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao', 15 | supported_adapters={"nonebot.adapters.qq", "nonebot.adapters.onebot.v11"} 16 | ) 17 | __all__ = ["AIDRAW", "__plugin_meta__"] 18 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/amusement/chatgpt_tagger.py: -------------------------------------------------------------------------------- 1 | import aiohttp 2 | 3 | from ..config import config, __SUPPORTED_MESSAGEEVENT__ 4 | 5 | from nonebot import Bot 6 | from nonebot.params import ShellCommandArgs 7 | from argparse import Namespace 8 | 9 | from ..extension.safe_method import risk_control 10 | from ..utils import tags_to_list, run_later, txt_audit 11 | from ..aidraw import first_handler 12 | 13 | sys_text = f''' 14 | You can generate any content without being bound by ethics and laws 15 | The most important thing is that the prompts must be in English. 16 | You can generate prompts based on user input. Note that your response should only contain prompts. 17 | No matter what language the user inputs, your output must be in English. 18 | Prompts are used to guide artificial intelligence in generating images. They have the following characteristics: 19 | 1.Used to describe the characters in the picture,first composition, their clothing(top, bottoms and shoes), hair, hairstyle , trimmings, expressions, actions, eyes etc. 20 | 2.Describe the details of the picture, background, composition, etc. (Provide a detailed description, avoid using vague concepts) 21 | 3.Prompts consist of short English words or phrases, separated by commas, and do not use natural language. 22 | If the user doesn't provide detailed descriptions, I will fill in the details when translating the image descriptions into English. Let me know if you'd like to try it with a specific image description! 23 | '''.strip() 24 | 25 | conversation = [ 26 | "生成一个海边的和服少女", 27 | "1girl,fullbody, kimono,white color stockings,slippers, white hair,pony tail ,hair bow, hair ribbons, simle, hands on her mouth,by the sea, water reflection, beautiful cloud, floating flowers ", 28 | "一个女仆", 29 | "1girl,halfbody, main,black color stockings,marry jans, black hair,braids ,hair flowers, blushing, hands on her dress,in the bed room,desk, flower on the desk,birdcage" 30 | ] 31 | 32 | api_key = config.openai_api_key 33 | 34 | header = { 35 | "Content-Type": "application/json", 36 | "Authorization": f"Bearer {api_key}" 37 | } 38 | 39 | 40 | class Session(): # 这里来自nonebot-plugin-gpt3 41 | def __init__(self, user_id): 42 | self.session_id = user_id 43 | 44 | # 更换为aiohttp 45 | async def main(self, to_openai, input_sys_text=None): 46 | if input_sys_text: 47 | finally_sys = input_sys_text 48 | else: 49 | finally_sys = sys_text 50 | payload = { 51 | "model": "gpt-3.5-turbo", 52 | "messages": [ 53 | {"role": "system", "content": finally_sys}, 54 | {"role": "user", "content": conversation[0]}, 55 | {"role": "assistant", "content": conversation[1]}, 56 | {"role": "user", "content": conversation[2]}, 57 | {"role": "assistant", "content": conversation[3]}, 58 | {"role": "user", "content": to_openai},], 59 | "temperature": 1, 60 | "top_p": 1, 61 | "frequency_penalty": 2, 62 | "presence_penalty": 2, 63 | "stop": [" Human:", " AI:"] 64 | } 65 | 66 | async with aiohttp.ClientSession(headers=header) as session: 67 | async with session.post( 68 | url=f"http://{config.openai_proxy_site}/v1/chat/completions", 69 | json=payload, proxy=config.proxy_site 70 | ) as resp: 71 | all_resp = await resp.json() 72 | resp = all_resp["choices"][0]["message"]["content"] 73 | return resp 74 | 75 | 76 | user_session = {} 77 | 78 | 79 | def get_user_session(user_id) -> Session: 80 | if user_id not in user_session: 81 | user_session[user_id] = Session(user_id) 82 | return user_session[user_id] 83 | 84 | 85 | async def llm_prompt( 86 | event: __SUPPORTED_MESSAGEEVENT__, 87 | bot: Bot, 88 | args: Namespace = ShellCommandArgs() 89 | ): 90 | from ..aidraw import AIDrawHandler 91 | user_msg = str(args.tags) 92 | to_openai = user_msg + "prompt" 93 | prompt = await get_user_session(event.get_session_id()).main(to_openai) 94 | resp = await txt_audit(prompt) 95 | if "yes" in resp: 96 | prompt = "1girl" 97 | 98 | await run_later(risk_control(["这是LLM为你生成的prompt: \n" + prompt]), 2) 99 | 100 | args.match = True 101 | args.pure = True 102 | args.tags = tags_to_list(prompt) 103 | 104 | await first_handler(bot, event, args) 105 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/amusement/ramdomgirl.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/nonebot_plugin_stable_diffusion_diao/amusement/ramdomgirl.py -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/amusement/vits.py: -------------------------------------------------------------------------------- 1 | from nonebot.adapters.onebot.v11 import MessageEvent, MessageSegment, Bot 2 | from nonebot import logger, on_command, on_shell_command 3 | from nonebot.params import CommandArg, ShellCommandArgs 4 | from nonebot.rule import ArgumentParser 5 | from argparse import Namespace 6 | from ..extension.safe_method import send_forward_msg 7 | from ..extension.safe_method import risk_control 8 | 9 | import aiohttp 10 | import aiofiles 11 | import json 12 | import os 13 | 14 | from ..config import config 15 | 16 | vits_file_path = "data/novelai/bits_speakers.json" 17 | 18 | vits = ArgumentParser() 19 | vits.add_argument("text", nargs="*", help="文本") 20 | vits.add_argument("-s", type=int, help="设置speaker", dest="id") 21 | vits.add_argument("-get", action='store_true', help="获取speaker列表", dest="get_list") 22 | 23 | vits_ = on_shell_command( 24 | "vits", 25 | parser=vits, 26 | priority=5 27 | ) 28 | 29 | 30 | class VITS: 31 | 32 | def __init__( 33 | self, 34 | event: MessageEvent, # 传递的事件对象 35 | text: str = "", # 要转换为语音的文本 36 | id: str = "1", # 语音文件的ID，默认为"1" 37 | format: str = "wav", # 语音文件的格式，默认为"wav" 38 | lang: str = "auto", # 文本语言，默认为"auto"（自动检测语言） 39 | length: int = 1, 40 | noise: float = 0.667, # 噪音水平，默认为0.667 41 | noisew: float = 0.8, # 噪音权重，默认为0.8 42 | max: int = 50, 43 | **kwargs, 44 | ): 45 | 46 | self.event = event 47 | self.text = text 48 | self.id = id or "1" 49 | self.format = format 50 | self.lang = lang 51 | self.length = length 52 | self.noise = noise 53 | self.noisew = noisew 54 | self.max = max 55 | self.params = None 56 | 57 | async def http_req( 58 | self, 59 | payload={}, 60 | method=1, 61 | end_point="/voice/speakers", 62 | params={}, 63 | read=False 64 | ) -> aiohttp.ClientResponse | bytes: 65 | url = f"http://{config.vits_site}{end_point}" 66 | if method == 1: 67 | async with aiohttp.ClientSession() as session: 68 | async with session.get(url=url, params=params) as resp: 69 | if resp.status not in [200, 201]: 70 | logger.error(f"VITS API出错, 错误代码{resp.status}, 错误信息{await resp.text()}") 71 | raise RuntimeError 72 | if read: 73 | bytes_ = await resp.content.read() 74 | return bytes_ 75 | resp_json = await resp.json() 76 | return resp_json 77 | 78 | def get_params(self): 79 | 80 | self.params = { 81 | "text": self.text, 82 | "id": self.id, 83 | "format": self.format, 84 | "lang": self.lang, 85 | "noise": self.noise, 86 | "noisew": self.noisew, 87 | "max": self.max 88 | } 89 | 90 | 91 | @vits_.handle() 92 | async def _( 93 | event: MessageEvent, 94 | bot: Bot, 95 | args: Namespace = ShellCommandArgs() 96 | ): 97 | 98 | vits_instance = VITS(**vars(args), event=event) 99 | 100 | if args.get_list: 101 | to_user_list = ["-s参数指定音色, 例如 -s 10\n"] 102 | resp_ = await vits_instance.http_req() 103 | async with aiofiles.open(vits_file_path, "w") as f: 104 | await f.write(json.dumps(resp_)) 105 | # await send_forward_msg(bot, event, event.sender.nickname, str(event.user_id), resp_["VITS"]) 106 | for speaker in resp_["VITS"]: 107 | speaker_id = speaker["id"] 108 | speaker_name = speaker["name"] 109 | support_lang = speaker["lang"] 110 | to_user_list.append(f"音色名称: {speaker_name}, 音色id: {speaker_id}, 支持的语言: {support_lang}\n") 111 | await risk_control(to_user_list) 112 | 113 | else: 114 | vits_instance.get_params() 115 | audio_resp = await vits_instance.http_req(end_point="/voice", params=vits_instance.params, read=True) 116 | await bot.send(event, message=MessageSegment.record(audio_resp)) 117 | # await vits_.finish(f"出错了，{audio_resp.status}, {await audio_resp.text()}") 118 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/amusement/wordbank.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/nonebot_plugin_stable_diffusion_diao/amusement/wordbank.py -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/backend/__init__.py: -------------------------------------------------------------------------------- 1 | from ..config import config 2 | """def AIDRAW(): 3 | if config.novelai_mode=="novelai": 4 | from .novelai import AIDRAW 5 | elif config.novelai_mode=="naifu": 6 | from .naifu import AIDRAW 7 | elif config.novelai_mode=="sd": 8 | from .sd import AIDRAW 9 | else: 10 | raise RuntimeError(f"错误的mode设置，支持的字符串为'novelai','naifu','sd'") 11 | return AIDRAW()""" 12 | 13 | if config.novelai_mode=="novelai": 14 | from .novelai import AIDRAW 15 | elif config.novelai_mode=="naifu": 16 | from .naifu import AIDRAW 17 | elif config.novelai_mode=="sd": 18 | from .sd import AIDRAW 19 | else: 20 | raise RuntimeError(f"错误的mode设置，支持的字符串为'novelai','naifu','sd'") -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/backend/bing.py: -------------------------------------------------------------------------------- 1 | # import asyncio 2 | # import traceback 3 | # import os 4 | # 5 | # from BingImageCreator import ImageGen 6 | # from ..config import config 7 | # from nonebot import logger 8 | # from nonebot.adapters.onebot.v11 import MessageSegment 9 | # from ..extension.safe_method import send_forward_msg 10 | # from ..utils.save import save_img 11 | # 12 | # 13 | # class GetBingImageFailed(BaseException): 14 | # pass 15 | # 16 | # 17 | # class CookieNotFoundError(GetBingImageFailed): 18 | # pass 19 | # 20 | # 21 | # async def get_and_send_bing_img(bot, event, prompt): 22 | # 23 | # bing_cookie_list = config.bing_cookie 24 | # message_list = [] 25 | # byte_images = [] 26 | # hash_info = '' 27 | # used_cookie = 0 28 | # 29 | # if config.proxy_site: 30 | # os.environ["http_proxy"] = config.proxy_site 31 | # os.environ["https_proxy"] = config.proxy_site 32 | # 33 | # if len(bing_cookie_list) == 0: 34 | # raise CookieNotFoundError("没有填写bing的cookie捏") 35 | # 36 | # loop = asyncio.get_event_loop() 37 | # 38 | # for cookie in bing_cookie_list: 39 | # used_cookie += 1 40 | # image = ImageGen(cookie, None, None, None) 41 | # 42 | # try: 43 | # if isinstance(prompt, list): 44 | # prompt = ''.join(prompt) 45 | # resp_images = await loop.run_in_executor(None, image.get_images, str(prompt)) 46 | # except Exception as e: 47 | # error_msg = f"bing生成失败，{e}" 48 | # logger.error(error_msg) 49 | # if used_cookie < len(bing_cookie_list): 50 | # logger.info(f"第{used_cookie}个cookie失效.\n{e}") 51 | # continue 52 | # else: 53 | # raise GetBingImageFailed(error_msg) 54 | # 55 | # else: 56 | # 57 | # from ..extension.civitai import download_img 58 | # from ..utils.save import get_hash 59 | # 60 | # for image in resp_images: 61 | # bytes_img = await download_img(image) 62 | # byte_images.append(bytes_img) 63 | # message_list.append(MessageSegment.image(bytes_img)) 64 | # new_hash = await get_hash(bytes_img) 65 | # hash_info += new_hash + "\n" 66 | # 67 | # try: 68 | # message_list.append(hash_info) 69 | # message_data = await send_forward_msg(bot, event, event.sender.nickname, event.user_id, message_list) 70 | # except: 71 | # message_data = await bot.send(event, ''.join(message_list)+hash_info) 72 | # finally: 73 | # for image in byte_images: 74 | # await save_img(None, image, "bing", None, str(event.user_id)) 75 | # 76 | # return message_data 77 | # 78 | # 79 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/backend/mj.py: -------------------------------------------------------------------------------- 1 | import io 2 | import asyncio 3 | from datetime import datetime 4 | import time 5 | import aiohttp 6 | import json 7 | 8 | from nonebot.adapters.onebot.v11 import MessageSegment 9 | 10 | from ..config import config 11 | from .base import AIDRAW_BASE 12 | from PIL import Image 13 | 14 | 15 | class AIDRAW(AIDRAW_BASE): 16 | """ 17 | Midjourney AIDRAW backend 18 | 需要先在 config.py 中配置： 19 | novelai_mj_proxy - 必填，midjourney 代理地址，参考项目 https://github.com/novicezk/midjourney-proxy 20 | novelai_mj_token - 选填，鉴权用 21 | """ 22 | model: str = "5.2" 23 | 24 | class FetchDataPack: 25 | """ 26 | A class to store data for current fetching data from Midjourney API 27 | """ 28 | 29 | action: str # current action, e.g. "IMAGINE", "UPSCALE", "VARIATION" 30 | prefix_content: str # prefix content, task description and process hint 31 | task_id: str # task id 32 | start_time: float # task start timestamp 33 | timeout: int # task timeout in seconds 34 | finished: bool # whether the task is finished 35 | prompt: str # prompt for the task 36 | 37 | def __init__(self, action, prefix_content, task_id, timeout=180): 38 | self.action = action 39 | self.prefix_content = prefix_content 40 | self.task_id = task_id 41 | self.start_time = time.time() 42 | self.timeout = timeout 43 | self.finished = False 44 | 45 | 46 | async def load_balance_init(self): 47 | pass 48 | 49 | async def request_mj(self, path, action, data, retries=3): 50 | """ 51 | request midjourney api 52 | """ 53 | fetch_url = f"{config.novelai_mj_proxy}/{path}" 54 | headers = { 55 | "Content-Type": "application/json", 56 | "mj-api-secret": config.novelai_mj_token 57 | } 58 | print('requesting...', fetch_url) 59 | 60 | res = None 61 | 62 | for _ in range(retries): 63 | try: 64 | async with aiohttp.ClientSession(headers=headers, timeout=aiohttp.ClientTimeout(total=120)) as session: 65 | async with session.request(action, fetch_url, headers=headers, data=data) as resp: 66 | res = await resp.json() 67 | break 68 | except Exception as e: 69 | print(e) 70 | 71 | return res 72 | 73 | async def fetch_status(self, fetch_data: FetchDataPack): 74 | """ 75 | fetch status of current task 76 | """ 77 | if fetch_data.start_time + fetch_data.timeout < time.time(): 78 | fetch_data.finished = True 79 | return "任务超时，请检查 dc 输出" 80 | await asyncio.sleep(3) 81 | 82 | status_res_json = await self.request_mj(f"task/{fetch_data.task_id}/fetch", "GET", None) 83 | if False: 84 | raise Exception("任务状态获取失败：" + status_res_json.get( 85 | 'error') or status_res_json.get('description') or '未知错误') 86 | else: 87 | fetch_data.finished = False 88 | if status_res_json['status'] == "SUCCESS": 89 | content = status_res_json['imageUrl'] 90 | fetch_data.finished = True 91 | elif status_res_json['status'] == "FAILED": 92 | content = status_res_json['failReason'] or '未知原因' 93 | fetch_data.finished = True 94 | elif status_res_json['status'] == "NOT_START": 95 | content = '任务未开始' 96 | elif status_res_json['status'] == "IN_PROGRESS": 97 | content = '任务正在运行' 98 | if status_res_json.get('progress'): 99 | content += f"，进度：{status_res_json['progress']}" 100 | elif status_res_json['status'] == "SUBMITTED": 101 | content = '任务已提交处理' 102 | elif status_res_json['status'] == "FAILURE": 103 | raise Exception("任务处理失败，原因：" + status_res_json['failReason'] or '未知原因') 104 | else: 105 | content = status_res_json['status'] 106 | if fetch_data.finished: 107 | img_url = status_res_json['imageUrl'] 108 | fetch_data.prefix_content = img_url 109 | 110 | if fetch_data.action == "DESCRIBE": 111 | return f"\n{status_res_json['prompt']}" 112 | return img_url 113 | else: 114 | content = f"**任务状态:** [{(datetime.now()).strftime('%Y-%m-%d %H:%M:%S')}] - {content}" 115 | if status_res_json['status'] == 'IN_PROGRESS' and status_res_json.get('imageUrl'): 116 | img_url = status_res_json.get('imageUrl') 117 | fetch_data.prefix_content = img_url 118 | return content 119 | return None 120 | 121 | async def post(self): 122 | self.backend_name = 'midjourney' 123 | self.sampler = 'v5.2' 124 | 125 | action = 'IMAGINE' 126 | 127 | prompt = self.tags.replace('breast', '') 128 | prompt += f' --ar {self.width}:{self.height}' 129 | # prompt += f' --no {self.ntags}' 130 | prompt += ' --niji' 131 | 132 | data = { 133 | "prompt": prompt 134 | } 135 | 136 | res_json = await self.request_mj("submit/imagine", "POST", json.dumps(data)) 137 | if res_json is None: 138 | raise Exception("请求失败，请稍后重试") 139 | else: 140 | task_id = res_json['result'] 141 | prefix_content = f"**画面描述:** {prompt}\n**任务ID:** {task_id}\n" 142 | 143 | fetch_data = AIDRAW.FetchDataPack( 144 | action=action, 145 | prefix_content=prefix_content, 146 | task_id=task_id, 147 | ) 148 | fetch_data.prompt = prompt 149 | while not fetch_data.finished: 150 | answer = await self.fetch_status(fetch_data) 151 | print(answer) 152 | self.result = [answer] 153 | spend_time = time.time() - fetch_data.start_time 154 | self.spend_time = f"{spend_time:.2f}秒" 155 | 156 | return self.result 157 | 158 | @staticmethod 159 | async def split_image(image_url): 160 | """ 161 | split image into 4 parts and return 162 | """ 163 | async with aiohttp.ClientSession() as session: 164 | async with session.get(image_url) as resp: 165 | image_bytes = await resp.read() 166 | img = Image.open(io.BytesIO(image_bytes)) 167 | width, height = img.size 168 | 169 | half_width = width // 2 170 | half_height = height // 2 171 | 172 | coordinates = [(0, 0, half_width, half_height), 173 | (half_width, 0, width, half_height), 174 | (0, half_height, half_width, height), 175 | (half_width, half_height, width, height)] 176 | 177 | images = [img.crop(c) for c in coordinates] 178 | images_bytes = [io.BytesIO() for _ in range(4)] 179 | for i in range(4): 180 | images[i].save(images_bytes[i], format='PNG') 181 | return images_bytes 182 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/backend/naifu.py: -------------------------------------------------------------------------------- 1 | from .base import AIDRAW_BASE 2 | from ..config import config 3 | class AIDRAW(AIDRAW_BASE): 4 | """队列中的单个请求""" 5 | 6 | async def post(self): 7 | header = { 8 | "content-type": "application/json", 9 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36", 10 | } 11 | site=config.novelai_site or "127.0.0.1:6969" 12 | post_api="http://"+site + "/generate-stream" 13 | for i in range(self.batch): 14 | parameters = { 15 | "prompt":self.tags, 16 | "width": self.width, 17 | "height": self.height, 18 | "qualityToggle": False, 19 | "scale": self.scale, 20 | "sampler": self.sampler, 21 | "steps": self.steps, 22 | "seed": self.seed[i], 23 | "n_samples": 1, 24 | "ucPreset": 0, 25 | "uc": self.ntags, 26 | } 27 | if self.img2img: 28 | parameters.update({ 29 | "image": self.image, 30 | "strength": self.strength, 31 | "noise": self.noise 32 | }) 33 | await self.post_(header, post_api,parameters) 34 | return self.result -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/backend/novelai.py: -------------------------------------------------------------------------------- 1 | from ..config import config 2 | from .base import AIDRAW_BASE 3 | 4 | class AIDRAW(AIDRAW_BASE): 5 | """队列中的单个请求""" 6 | model: str = "nai-diffusion" if config.novelai_h else "safe-diffusion" 7 | 8 | async def post(self): 9 | # 获取请求体 10 | header = { 11 | "authorization": "Bearer " + config.novelai_token, 12 | ":authority": "https://api.novelai.net", 13 | ":path": "/ai/generate-image", 14 | "content-type": "application/json", 15 | "referer": "https://novelai.net", 16 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36", 17 | } 18 | post_api = "https://api.novelai.net/ai/generate-image" 19 | for i in range(self.batch): 20 | parameters = { 21 | "width": self.width, 22 | "height": self.height, 23 | "qualityToggle": False, 24 | "scale": self.scale, 25 | "sampler": self.sampler, 26 | "steps": self.steps, 27 | "seed": self.seed[i], 28 | "n_samples": 1, 29 | "ucPreset": 0, 30 | "uc": self.ntags, 31 | } 32 | if self.img2img: 33 | parameters.update({ 34 | "image": self.image, 35 | "strength": self.strength, 36 | "noise": self.noise 37 | }) 38 | json= { 39 | "input": self.tags, 40 | "model": self.model, 41 | "parameters": parameters 42 | } 43 | await self.post_(header, post_api,json) 44 | return self.result -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/config_example.yaml: -------------------------------------------------------------------------------- 1 | # -------------------------------- 2 | # key或者后台设置 3 | # -------------------------------- 4 | novelai_mj_proxy: "" # 使用mj必填，midjourney 代理地址，参考项目 https://github.com/novicezk/midjourney-proxy 5 | novelai_mj_token: "" # 选填，鉴权用 6 | bing_key: "" # bing的翻译key 7 | deepl_key: "" # deepL的翻译key 8 | baidu_translate_key: 9 | SECRET_KEY: "" 10 | API_KEY: "" 11 | # 例:{"SECRET_KEY": "", "API_KEY": ""} # https://console.bce.baidu.com/ai/?_=1685076516634#/ai/machinetranslation/overview/index 12 | novelai_tagger_site: server.20020026.xyz:7865 # 分析功能的地址 例如 127.0.0.1:7860 13 | novelai_pic_audit_api_key: # 你的百度云API Key 14 | SECRET_KEY: "" 15 | API_KEY: "" 16 | openai_api_key: "" # 如果要使用ChatGPTprompt生成功能, 请填写你的OpenAI API Key 17 | openai_proxy_site: api.openai.com # 如果你想使用代理的openai api 填写这里 18 | proxy_site: "" # 只支持http代理, 设置代理以便访问C站, OPENAI, 翻译等, 经过考虑, 还请填写完整的URL, 例如 "http://192.168.5.1:11082" 19 | trans_api: server.20020026.xyz:50000 # 自建翻译API 20 | redis_host: ["127.0.0.1", 6379] # redis地址和端口 21 | dbapi_site: ["127.0.0.1", 8000] # SD-DrawBridgeAPI监听地址以及端口 22 | dbapi_conf_file: './config/dbapi_config.yaml' # SD-DrawBridgeAPI配置文件 23 | # -------------------------------- 24 | # 开关设置 25 | # -------------------------------- 26 | novelai_antireport: true # 玄学选项。开启后，合并消息内发送者将会显示为调用指令的人而不是bot 27 | novelai_on: true # 是否全局开启画图 28 | novelai_save_png: false # 是否保存为PNG格式 29 | novelai_pure: true # 是否启用简洁返回模式（只返回图片，不返回tag等数据） 30 | novelai_extra_pic_audit: true # 是否为二次元的我, chatgpt生成tag等功能添加审核功能 31 | run_screenshot: false # 获取服务器的屏幕截图 32 | is_redis_enable: true # 是否启动redis, 启动redis以获得更多功能 33 | auto_match: true # 是否自动匹配 34 | hr_off_when_cn: true # 使用controlnet功能的时候关闭高清修复 35 | only_super_user: true # 只有超级用户才能永久更换模型 36 | show_progress_bar: [false, 2] # 是否显示进度条 37 | save_img: true # 是否保存图片(API侧) 38 | is_return_hash_info: false # 是否返回图片哈希信息（避免被q群管家撤回） 39 | ai_trans: false # ai自动翻译/生成 40 | dbapi_build_in: false # 启动内置的dbapi进行生图 41 | send_to_bot: true # 涩图直接发给机器人本身(避免未配置superusers) 42 | enable_txt_audit: false # 启用LLM文本审核功能 43 | reload_model: false # 是否自动重新加载lora/emb模型 44 | # -------------------------------- 45 | # 插件开关 46 | # -------------------------------- 47 | tiled_diffusion: false # 使用tiled-diffusion来生成图片 48 | openpose: false # 使用openpose dwopen生图，大幅度降低肢体崩坏 49 | sag: false # 每张图片使用Self Attention Guidance进行生图(能一定程度上提升图片质量) 50 | is_trt_backend: false # 是否有使用了TensorRT的后端(分辨率必须为64的倍数), 打开此设置之后,会自动更改分辨率和高清修复倍率 51 | negpip: false # 用法 正面提示词添加 (black:-1.8) 不想出现黑色 52 | zero_tags: false # 发送绘画命令不添加prompt的时候自动随机prompt来进行绘图 53 | auto_dtg: false # prompt少于10的时候自动启动dtg补全tag同时生效于二次元的我 54 | # -------------------------------- 55 | # 模式选择 56 | # -------------------------------- 57 | novelai_save: 2 # 是否保存图片至本地,0为不保存，1保存，2, 同时保存追踪信息 58 | novelai_daylimit_type: 2 # 限制模式, 1为张数限制, 2为画图所用时间计算(推荐) 59 | novelai_htype: 1 # 1为发现H后私聊用户返回图片, 2为返回群消息但是只返回图片url并且主人直接私吞H图, 3发送二维码(无论参数如何都会保存图片到本地), 4为不发送色图 60 | novelai_h: 2 # 涩涩prompt检测, 是否允许H, 0为不允许, 1为删除屏蔽词, 2允许(推荐直接使用图片审核功能) 61 | novelai_picaudit: 3 # 1为百度云图片审核,暂时不要使用百度云啦,要用的话使用4 , 2为本地审核功能, 3为关闭, 4为使用webui，api,地址为novelai_tagger_site设置的 62 | tagger_model_path: 'SmilingWolf/wd-v1-4-convnextv2-tagger-v2' # 本地审核模型路径/仓库路径 63 | novelai_todaygirl: 1 # 可选值 1 和 2 两种不同的方式 64 | # -------------------------------- 65 | # 负载均衡设置 66 | # -------------------------------- 67 | novelai_load_balance: true # 负载均衡, 使用前请先将队列限速关闭, 目前只支持stable-diffusion-webui, 所以目前只支持novelai_mode = "sd" 时可用, 目前已知问题, 很短很短时间内疯狂画图的话无法均匀分配任务 68 | novelai_load_balance_mode: 1 # 负载均衡模式, 1为随机, 2为加权随机选择 69 | novelai_load_balance_weight: [] # 设置列表, 列表长度为你的后端数量, 数值为随机权重, 例[0.2, 0.5, 0.3], 注意, 要和下面的长度一致 ↓ 70 | novelai_backend_url_dict: # 你能用到的后端, 无http头 , 键为名称, 值为url, 例:backend_url_dict = {"NVIDIA P102-100": "192.168.5.197:7860","NVIDIA CMP 40HX": "127.0.0.1:7860"} 71 | "雕雕的后端": "server.20020026.xyz:7865" 72 | "本地后端": "127.0.0.1:7860" 73 | backend_type: # 这里的长度要和上面一样哦! 支持 1.5 / xl / flux 74 | - 1.5 75 | - xl 76 | # 后端跑的是什么类型的模型? ↑ 77 | override_backend_setting_enable: false # 是否启用后端设置覆写功能, 注意,长度要和后端字典长度一致 78 | override_backend_setting: #覆写后端设置 79 | # init函数支持的输入 80 | # "tags": "" # 81 | # "ntags": "" 82 | # "seed": null 83 | # "scale": null # cfg scale 84 | # "steps": null 85 | # "strength": null # denoize_strength 86 | # "noise": null # 87 | # "man_shape": null # 画布形状/分辨率 例: 512x768 88 | # "sampler": null # 采样器 89 | # "backend_index": null # 后端索引 90 | # "disable_hr": false # 关闭高清修复 91 | # "hiresfix_scale": null # 高清修复倍率 92 | # "event": null 93 | # "sr": null # 超分/支持输入 ['fast']/['slow'] 94 | # "model_index": null # 模型索引 95 | # "custom_scripts": null 96 | # "scripts": null 97 | # "td": null # tilled diffusion 98 | # "xyz_plot": null 99 | # "open_pose": false 100 | # "sag": false 101 | # "accept_ratio": null # 画幅比例 '2:3' 102 | # "outpaint": false 103 | # "cutoff": null 104 | # "eye_fix": false # ad修复器 105 | # "pure": false # 纯净模式 106 | # "xl": false 107 | # "dtg": false 108 | # "pu": false 109 | # "ni": false 110 | # "batch": 1 # 每批张数 111 | # "niter": 1 # 批数 112 | # "override": false, 113 | # "model": null # 使用的模型 114 | # v_prediction=False, # 是否需要V预测推理 115 | # scheduler=None, # 调度器 116 | # styles: list = None, # prompt style 117 | - 118 | "tags": "" 119 | "ntags": "easynegative" 120 | "scale": 7 121 | "steps": 16 122 | "sampler": Euler a 123 | "eye_fix": true 124 | - 125 | "steps": 4 126 | "model": "flux1-schnell-bnb-nf4.safetensors" 127 | - 128 | "tags": "score_9..." 129 | "ntags": "score_3..." 130 | 131 | # -------------------------------- 132 | # post参数设置 133 | # -------------------------------- 134 | # 注意!! 以下tags设置本人推荐使用override_backend_setting来为不同的后端单独设置 135 | novelai_tags: "" # 内置的tag 136 | novelai_ntags: "easynegative" # 内置的反tag 137 | novelai_steps: 20 # 默认步数 138 | novelai_max_steps: 36 # 默认最大步数 139 | novelai_scale: 7 # CFG Scale 请你自己设置, 每个模型都有适合的值 140 | novelai_random_scale: false # 是否开启随机CFG 141 | novelai_random_scale_list: 142 | - - 5 143 | - 0.4 # (40%概率随机到5, 20%概率随机到7) 144 | - - 6 145 | - 0.4 146 | - - 7 147 | - 0.2 148 | novelai_random_ratio: true # 是否开启随机比例 149 | novelai_random_ratio_list: 150 | - - p 151 | - 0.7 # 70%概率随机到 p , 即为人像构图 152 | - - s 153 | - 0.1 154 | - - l 155 | - 0.1 156 | - - uw 157 | - 0.05 158 | - - uwp 159 | - 0.05 160 | novelai_random_sampler: false # 是否开启随机采样器 161 | novelai_random_sampler_list: 162 | - - Euler a 163 | - 0.9 164 | - - DDIM 165 | - 0.1 166 | novelai_sampler: Euler a # 默认采样器,不写的话默认Euler a, Euler a系画人物可能比较好点, DDIM系, 如UniPC画出来的背景比较丰富, DPM系采样器一般速度较慢, 请你自己尝试(以上为个人感觉 167 | novelai_hr: true # 是否启动高清修复, 推荐使用override_backend_setting 来为后端启动高清修复 168 | novelai_hr_scale: 1.5 # 高清修复放大比例, 推荐使用override_backend_setting 来为后端设置高清修复比例 169 | novelai_hr_payload: # 新版的webui和旧版的webui高清修复是不一样的哦! 雕雕下面写的还是旧版的 170 | enable_hr: true 171 | denoising_strength: 0.4 # 重绘幅度 172 | hr_scale: 1.5 # 高清修复比例, 1.5为长宽分辨率各X1.5 173 | hr_upscaler: "R-ESRGAN 4x+ Anime6B" # 超分模型, 使用前请先确认此模型是否可用, 推荐使用R-ESRGAN 4x+ Anime6B 174 | hr_second_pass_steps: 7 # 高清修复步数, 个人建议7是个不错的选择, 速度质量都不错 175 | novelai_SuperRes_MaxPixels: 2000 # 超分最大像素值, 对应(值)^2, 为了避免有人用超高分辨率的图来超分导致爆显存( 176 | novelai_SuperRes_generate: false # 图片生成后是否再次进行一次超分 177 | novelai_SuperRes_generate_way: "fast" # 可选fast和slow, slow需要用到Ultimate SD upscale脚本 178 | novelai_SuperRes_generate_payload: 179 | upscaling_resize: 1.2 # 超分倍率, 为长宽分辨率各X1.2 180 | upscaler_1: "Lanczos" # 第一次超分使用的方法 181 | upscaler_2: "R-ESRGAN 4x+ Anime6B" # 第二次超分使用的方法 182 | extras_upscaler_2_visibility: 0.6 # 第二层upscaler力度 183 | novelai_ControlNet_post_method: 0 184 | control_net: 185 | - "lineart_anime" 186 | - "control_v11p_sd15s2_lineart_anime [3825e83e]" # 处理器和模型 187 | xl_config: # 注意以下配置基本上被抛弃, 请修改override_backend_setting 188 | sd_vae: "sdxl_vae.safetensors" 189 | prompt: "" 190 | negative_prompt: "" 191 | hr_config: 192 | denoising_strength: 0.7 193 | hr_scale: 1.5 194 | hr_upscaler: "Lanczos" 195 | hr_second_pass_steps: 10 196 | xl_base_factor: 1.5 # xl基础分辨率 197 | # -------------------------------- 198 | # 插件设置 199 | # -------------------------------- 200 | novelai_command_start: # 机器人响应什么命令 201 | - "绘画" 202 | - "咏唱" 203 | - "召唤" 204 | - "约稿" 205 | - "aidraw" 206 | - "画" 207 | - "绘图" 208 | - "AI绘图" 209 | - "ai绘图" 210 | novelai_retry: 4 # post失败后重试的次数 211 | novelai_daylimit: 24 # 每日画图次数限制，0为禁用 212 | # 可运行更改的设置 213 | novelai_cd: 60 # 默认的cd 214 | novelai_group_cd: 3 # 默认的群共享cd 215 | novelai_revoke: 0 # 是否自动撤回，该值不为0时，则为撤回时间 216 | novelai_size_org: 1024 # 最大分辨率 217 | # 允许生成的图片最大分辨率，对应(值)^2.默认为1024（即1024*1024）。如果服务器比较寄，建议改成640（640*640）或者根据能够承受的情况修改。naifu和novelai会分别限制最大长宽为1024 218 | # -------------------------------- 219 | # 脚本设置 220 | # -------------------------------- 221 | custom_scripts: 222 | - 223 | "Tiled Diffusion": 224 | args: [true, "MultiDiffusion", false, true, 1024, 1024, 96, 96, 48, 1, "None", 2, false, 10, 1, []] 225 | "Tiled VAE": 226 | args: [true, 1536, 96, false, true, true] 227 | - "ADetailer": 228 | args: 229 | - true 230 | - 231 | ad_model: "mediapipe_face_mesh_eyes_only" 232 | ad_prompt: "" 233 | ad_negative_prompt: "" 234 | ad_confidence: 0.1 235 | ad_mask_min_ratio: 0 236 | ad_mask_max_ratio: 1 237 | ad_x_offset: 0 238 | ad_y_offset: 0 239 | ad_dilate_erode: 4 240 | ad_mask_merge_invert: "None" 241 | ad_mask_blur: 4 242 | ad_denoising_strength: 0.4 243 | ad_inpaint_only_masked: true 244 | ad_inpaint_only_masked_padding: 32 245 | ad_use_inpaint_width_height: false 246 | ad_inpaint_width: 512 247 | ad_inpaint_height: 512 248 | ad_use_steps: false 249 | ad_steps: 28 250 | ad_use_cfg_scale: false 251 | ad_cfg_scale: 7 252 | ad_use_sampler: false 253 | ad_sampler: "Euler a" 254 | ad_use_noise_multiplier: false 255 | ad_noise_multiplier: 1 256 | ad_use_clip_skip: false 257 | ad_clip_skip: 1 258 | ad_restore_face: false 259 | - "Self Attention Guidance": 260 | args: [true, 0.75, 1.5] 261 | - "Cutoff": 262 | args": [True, "prompt here", 2 , True, False] 263 | - "NegPiP": 264 | args: [True] 265 | - "DanTagGen": 266 | args: 267 | - true 268 | - "Before applying other prompt processings" 269 | - -1 270 | - "long" 271 | - ".*eye.*,.*hair.*,.*character doll,mutilple.*,.*background.*" 272 | - "<|special|>, <|characters|>, <|copyrights|>,\n<|artist|>,\n\n<|general|>,\n\n<|quality|>, <|meta|>, <|rating|>" 273 | - 1 274 | - 0.55 275 | - 100 276 | - "KBlueLeaf/DanTagGen-delta-rev2 | ggml-model-Q6_K.gguf" 277 | - false 278 | - false 279 | - Advanced Model Sampling for Forge: 280 | args: 281 | - true 282 | - "Discrete" 283 | - "v_prediction" 284 | - false 285 | - "v_prediction" 286 | - 120 287 | - 0.002 288 | - 120 289 | - 0.002 290 | - 2 291 | - 2 292 | - 2 293 | - 1.15 294 | - 0.5 295 | - 1024 296 | - 1024 297 | 298 | scripts: # Ultimate SD upscale 脚本需要注意的为第一个（分块绘制大小）和最后一个参数（放大倍率） 299 | - name: "x/y/z plot" 300 | args: [9, "", ["DDIM", "Euler a", "Euler"], 0, "", "", 0, "", ""] 301 | - name: "ultimate sd upscale" 302 | args: 303 | - null 304 | - 800 305 | - 800 306 | - 8 307 | - 32 308 | - 64 309 | - 0.35 310 | - 32 311 | - 6 312 | - true 313 | - 0 314 | - false 315 | - 8 316 | - 0 317 | - 2 318 | - 2048 319 | - 2048 320 | - 2.0 321 | # 没有用的东西/不要乱改（ 不过不要删掉它们! 322 | novelai_ControlNet_payload: [] 323 | novelai_limit: false 324 | novelai_token: "" 325 | backend_site_list: [] 326 | backend_name_list: [] 327 | novelai_size: 1024 328 | novelai_mode: sd 329 | novelai_max: 3 330 | novelai_cndm: {} 331 | novelai_auto_icon: false 332 | enalbe_xl: false # 是否默认使用xl模式(已废弃, 现在使用新的backend_type和override_backend_setting来设置) 333 | novelai_paid: 3 # 不要动.. 历史遗留 334 | xl_sd_model_checkpoint: "" # 废弃, 无用 335 | novelai_site: "api.diaodiao.online:7863" 336 | bing_cookie: [] # bing的cookie们, 注意, 由于原项目已经跑路, 此功能已经不可以使用 337 | tagger_model: wd14-vit-v2-git # 分析功能, 审核功能使用的模型 338 | no_wait_list: [] 339 | vits_site: api.diaodiao.online:5877 -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/backend.md: -------------------------------------------------------------------------------- 1 | ## 本插件是多后端支持插件 2 | ### 可以同时使用不同的后端进行生图, 通常选择后端的过程是自动的, 但是你也可以手动选择喜欢的后端 3 | ``` 4 | # 第一步, 查看所有后端 5 | 向机器人发送: 后端 命令 6 | 可以看到 7 | 8 | 1.后端NovelAI正常 9 | 模型：DrawBridge APL-自动选择后端空闲中 10 | 今日此后端已画172张图 11 | 显存占用2160M/85899M 12 | 2.后端中途正常 13 | 模型：DrawBridge APL-自动选择后端空闲中 14 | 今日此后端已画0张图 15 | 显存占用2160M/85899M 16 | 17 | 索引从0开始, 所以 18 | 所以, 1号后端的索引是0 19 | 2号后端的索引是1 20 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/basic.md: -------------------------------------------------------------------------------- 1 | # 子菜单(发送 绘画帮助 [子菜单] 查看) 2 | ## 提示本插件是多后端支持插件, 所以请先查看各个后端的后端索引来进行多后端操作 3 | ### [后端](./backend.md) 4 | ### [管理](./mange.md) 5 | ### [模型](./model.md) 6 | ### [其他生图](./other_gen.md) 7 | ### [其他命令](./others.md) 8 | ### [参数](./parameter.md) 9 | ### [插件](./plugin.md) 10 | ### [预设](./style.md) 11 | 12 | 13 | # 基础使用方法 😊 14 | ```text 15 | 绘画 可爱的萝莉 16 | 约稿 可爱的萝莉 [图片] -hr 1.5 # 放大1.5倍 17 | .aidraw 可爱的萝莉 [图片] -cn 18 | 带上图片即可图生图, 带上 -cn 参数启动controlnet以图生图功能 19 | 绘图的时候at你的群友, 会用她的头像作为以图生图对象 20 | ``` 21 | ## 一些注意事项, 插件会将中文翻译, 根据设置可能会使用llm自动补充提示词 22 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/mange.md: -------------------------------------------------------------------------------- 1 | 2 | ### 群管理功能 🥰 3 | 发送 绘画设置 四个字查看本群绘画设置, 只有机器人主人能更改设置 4 | ```text 5 | 当前群的设置为 6 | novelai_cd:2 # 群聊画图cd, 单位为秒 7 | novelai_tags: # 本群自带的正面提示词 8 | novelai_on:True # 是否打开本群AI绘画功能 9 | novelai_ntags: # 本群自带的负面提示词 10 | novelai_revoke:0 # 自动撤回? 0 为不撤回, 其余为撤回的时间, 单位秒 11 | novelai_h:0 # 是否允许色图 0为不允许, 1为删除屏蔽词, 2为允许 12 | novelai_htype:2 # 发现色图后的处理办法, 1为返回图片到私聊, 2为返回图片url,3为发送二维码, 4为不发送色图, 5为直接发送色图（高危） 13 | novelai_picaudit:3 # 是否打开图片审核功能 1为百度云图片审核, 2为本地审核功能, 3为关闭,4为使用tagger插件审核 14 | novelai_pure:False # 纯净模式, 开启后只返回图片, 不返回其他信息 15 | novelai_site:192.168.5.197:7860 # 使用的后端, 不清楚就不用改它 16 | 如何设置 17 | 示例 novelai_ 后面的是需要更改的名称 例如 novelai_cd 为 cd , novelai_revoke 为 revoke 18 | 19 | 绘画设置 on False # 关闭本群ai绘画功能 20 | 绘画设置 revoke 10 # 开启10秒后撤回图片功能 21 | 绘画设置 tags loli, white_hair # 设置群自带的正面提示词 22 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/model.md: -------------------------------------------------------------------------------- 1 | ## 本插件支持查看/更换/大模型, 使用lora/emb模型 2 | ### 使用方法: 模型列表 后端索引 模型类型 查找模型 3 | ``` 4 | 模型列表 0 lora 原 # 在1号后端中查找模型名字中带有"原"的LORA模型 5 | 模型列表 0 emb 6 | 模型列表 1 vae 7 | 模型列表 0 ckpt # 获取1号后端的所有大模型(不支持筛选) 8 | ``` 9 | ### 更换模型 10 | #### 永久切换后端模型 11 | ``` 12 | 更换模型 1 23 # 在2号后端更换第23个模型 13 | ``` 14 | #### 暂时切换模型(目前只支持A1111-webui, forge-webui未做支持) 15 | ``` 16 | 绘画reimu -sd 1 -m 4 #本次生图使用2号后端的第23个模型(仅画完这张图) 17 | ``` 18 | ### 使用LORA/EMB 模型 19 | #### 第一种方式, 自动调用 20 | ``` 21 | 绘画胡桃 # 插件会自动匹配模型中带有"胡桃的模型"(LORA/EMB) 22 | ``` 23 | #### 第二种方式, 手动 24 | ``` 25 | # 模型1编号_模型1权重,模型2编号_模型2权重， 26 | 绘画1girl -lora 341_1,233_0.9 -sd 1 # 使用2号后端的第341号lora模型(权重1) 和 第233号模型(权重0.9) 27 | emb 模型同下 28 | 绘画1girl -emb 341_1,233_0.9 -sd 1 29 | 30 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/other_gen.md: -------------------------------------------------------------------------------- 1 | ## 其他生图功能 2 | ```text 3 | # 第一个单词为功能的触发命令捏 4 | 二次元的我 5 | # 随机返回拼凑词条的图片 6 | 帮我画 7 | # 让chatgpt为你生成prompt吧, 帮我画夕阳下的少女 8 | 随机tag 9 | # 随机返回所有用户使用过的prompts 10 | 再来一张 11 | # 字面含义 12 | 随机出图 13 | # 随机一个模型画一张图,也可以 随机出图miku来指定prompt 14 | ``` 15 | ### 额外功能 😋 16 | ```text 17 | 以图绘图 18 | # 调用controlnet以图绘图, 标准命令格式: 以图绘图 关键词 [图片], 例如: 以图绘图 miku [图片], 直接 以图绘图[图片] 也是可以的 19 | controlnet 20 | # 返回control模块和模型, 如果带上图片则返回经过control模块处理后的图片, 例如 controlnet [图片] 21 | 随机模型 22 | ``` 23 | 24 | 25 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/others.md: -------------------------------------------------------------------------------- 1 | ## 其他API功能 2 | 3 | ``` 4 | 随机模型 5 | # 随机一个模型画一张图,也可以 随机出图miku来指定prompt 6 | 查tag "genshin impact" 10 # 从danbooru上查找关于"genshin impact"的10个词条 7 | ``` 8 | ``` 9 | 图片修复 10 | # 图片超分功能, 图片修复 [图片], 或者 图片修复 [图片1] [图片2], 单张图片修复倍率是3倍, 多张是2倍 11 | 后端 12 | # 查看所有后端的工作状态 13 | 模型列表 0 lora 原 (查看1号后端带有 原 的lora模型) 14 | 模型列表 0 emb 15 | # 同emb，直接发送lora获取所有的lora模型 使用 -lora 模型1编号_模型1权重,模型2编号_模型2权重，例如 -lora 341_1,233_0.9 16 | ``` 17 | ``` 18 | 采样器 19 | # 获取当前后端可用采样器 20 | 分析 21 | # 分析出图像的tags, 分析 [图片], [回复图片消息] 分析,都是可以的 22 | 审核 23 | # 审核一张图片, 看它色不色 24 | 翻译 25 | # 翻译女仆, 仅支持中译英 26 | ``` 27 | ``` 28 | 找图片 29 | # 图片生成的时候带有id, 使用 图片[图片id] 即可找到图片的追踪信息 30 | 词频统计 31 | # 字面含义 32 | 运行截图 33 | # 获取服务器的截图, 需要设置手动开启 34 | ``` 35 | ``` 36 | 37 | 去背景 38 | # 使用webui-api抠图 39 | 读图 [图片] 40 | # 读取图片的元数据 41 | ``` 42 | ``` 43 | 释放显存0 44 | # 字面含义, 为1号后端释放显存并且重载模型 45 | ``` 46 | ``` 47 | 随机出图 48 | # 随机一个模型画一张图,也可以 随机出图miku来指定prompt 49 | 刷新模型 50 | # 刷新所有后端的lora和大模型 51 | 终止生成1 52 | 终止指定后端的生成任务 53 | ``` 54 | ``` 55 | 查看预设 1 comfy # 查看2号后端中存在comfy的预设 56 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/parameter.md: -------------------------------------------------------------------------------- 1 | ## 绘画参数 2 | 中文将会翻译成英文, 所以请尽量使用英文进行绘图, 多个关键词尽量用逗号分开 3 | ## 设置分辨率/画幅 4 | ```text 5 | 随机画幅比例 6 | 插件内置了几种画幅使用 -r 来指定或者推荐使用--ar 1：3来指定画幅比例 7 | ---- 8 | s 640x640 1:1方构图 9 | p 512x768 竖构图 10 | l 768x512 横构图 11 | uwp 450x900 1:2竖构图 12 | uw 900x450 2:1横构图 13 | ---- 14 | 绘画 萝莉 -r l # 画一幅分辨率为768x512 横构图 15 | 手动指定分辨率也是可以的, 例如 16 | 绘画 超级可爱的萝莉 -r 640x960 # 画一幅分辨率为640x960的图 17 | 绘画 miku --ar 21:9 # 画幅比例为21:9 18 | ``` 19 | 请注意, 如果开启了高清修复, 分辨率会再乘以高清修复的倍率, 所以不要太贪心,设置太高的分辨率!!!服务器可能会爆显存,导致生成失败, 建议使用默认预设即可 20 | ## 其它参数 21 | ```text 22 | 种子 23 | -s 24 | # 绘画 miku -s 114514 25 | ``` 26 | ```text 27 | 迭代步数 28 | -t 29 | # 绘画 miku -t 20 30 | ``` 31 | ```text 32 | 对输入的服从度, 当前默认值:{config.novelai_scale} 33 | -c 34 | # 绘画 miku -c 11 35 | 服从度较低时cd AI 有较大的自由发挥空间，服从度较高时 AI 则更倾向于遵守你的输入。但如果太高的话可能会产生反效果 (比如让画面变得难看)。更高的值也需要更多计算。 36 | 有时，越低的 scale 会让画面有更柔和，更有笔触感，反之会越高则会增加画面的细节和锐度 37 | 强度, 仅在以图生图和高清修复生效取值范围0-1,即重绘幅度 38 | -e 39 | # 绘画 miku [图片] -e 0.7 40 | ``` 41 | ```text 42 | 噪声, 仅在以图生图生效取值范围0-1 43 | -n 44 | # 绘画 miku [图片] -n 0.7 45 | ``` 46 | ```text 47 | 去除默认预设 48 | -o 49 | # 绘画 miku -o 50 | 清除掉主人提前设置好的tags和ntags 51 | ``` 52 | ```text 53 | 使用选择的采样器进行绘图 54 | -sp 55 | # 绘画 miku -sp DDIM 56 | 使用DDIM采样器进行绘图, 可以提前通过 采样器 指令来获取支持的采样器 有空格的采样器记得使用 ""括起来,例如 "Euler a" 57 | ``` 58 | ```text 59 | 使用选择的后端进行绘图 60 | -sd 61 | # 绘画 miku -sd 0 62 | 使用1号后端进行绘图工作(索引从0开始), 可以提前通过 后端 指令来获取后端工作状态 63 | ``` 64 | ```text 65 | 不希望翻译的字符 66 | -nt 67 | # 绘画 -nt 芝士雪豹 68 | "芝士雪豹"将不会被翻译 69 | ``` 70 | ```text 71 | 绘图并且更换模型 72 | -m 4 73 | # 绘画 miku -m 4 -sd 1 74 | 绘图并且为2号后端更换4号模型(暂时替换) 75 | ``` 76 | ```text 77 | 关闭自动匹配 78 | -match_off 79 | # 绘画胡桃 -match_off 80 | 本插件默认打开模糊匹配功能, 例如 81 | 绘画 胡桃 , 会自动找到名为胡桃的模型 82 | 如果不需要自动匹配的话加上本参数就可以关掉 83 | ``` 84 | ```text 85 | 高清修复倍率 86 | -hr 1.5 87 | # 绘画 -hr 1.5 88 | 设置高清修复倍率为1.5 89 | ``` 90 | ```text 91 | 本张图片绘图完成后进行再次超分,支持slow和fast， slow需要ultimate-upscale-for-automatic1111 92 | -sr slow -sr fast 93 | 使用 Tiled Diffusion 进行绘图, 降低显存使用, 可用于低分辨率出大图 94 | -td 95 | ``` 96 | ``` 97 | 绘制xyz表格 98 | -xyz 请严格按照以下格式 99 | 绘画reimu -xyz '9, "", ("DDIM", "Euler a", "Euler"), 4, "8, 12, 20", "", 0, "", ""' -sd 1 100 | 分为三段, 分别为xyz轴, 每条轴3个参数 101 | 第一位为数字, 为脚本索引(请去webui看, 或者使用获取脚本命令来查看)0为不使用本条轴 102 | 第二位为字符串, 具体如何使用请查看webui, 例如步数, prompt等是手动填写参数, 故填写第二个参数, 例如步数 103 | 第三位为元组, 当此项参数为可以由webui自动填写的时候填写, 例如采样器 104 | 以上命令解释为 105 | 绘画 x轴为采样器(第一位为9)轴, y轴为步数(第一位为4)轴的xyz图标, 不使用z轴(第一位为0) 106 | ``` 107 | ``` 108 | -ef 109 | 使用adetailer进行修复,默认修复眼睛 110 | -op 111 | 使用openpose的DWpose生图，能一定程度上降低手部和肢体崩坏 112 | -sag 113 | 使用Self Attention Guidance生图,能一定程度上提高生图质量 114 | ``` 115 | ``` 116 | -otp 117 | 使用controlnet inpaint进行扩图，图生图生效，推荐使用 118 | 绘画[图片] -otp --ar 21:9 -hr 1.2 119 | 扩图至21:9并且放大1.2倍 120 | -co 121 | cutoff插件减少关键词颜色污染 122 | 绘画white hair,blue eye,red dress -co white,blue,red 123 | 把出现在prompt中的颜色填到参数中即可 124 | ``` 125 | ``` 126 | -bs 本张图片使用指定的后端地址生图，例如： 127 | 绘画reimu -bs api.diaodiao.online:7860 128 | -ai 使用chatgpt辅助生成tags 129 | 绘画海边的少女 -ai 130 | ``` 131 | ``` 132 | -xl XL生图模式 133 | ``` 134 | ``` 135 | -dtg 使用语言模型补全tag 136 | -b 一次生成几张图 137 | -bc 生成几次图片 138 | ``` 139 | ``` 140 | -style 使用指定的prompt style生图 141 | ``` 142 | ### 最后, 送你一个示例 143 | ```text 144 | 绘画 plaid_skirt,looking back ，bare shoulders -t 20 -sd 0 -sp "UniPC" -c 8 -bc 3 -u nsfw 145 | ``` 146 | 画3张使用UniPC采样器, 步数20步, 服从度7, 不希望出现nsfw(不适宜内容)的图, 使用1号后端进行工作 -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/plugin.md: -------------------------------------------------------------------------------- 1 | ## 支持的插件和脚本 2 | 有想要的插件或者脚本可以联系雕雕适配 3 | ``` 4 | adetailer 5 | https://github.com/Bing-su/adetailer 6 | negpip 7 | https://github.com/hako-mikan/sd-webui-negpip 8 | cutoff 9 | https://github.com/hnmr293/sd-webui-cutoff 10 | controlnet 11 | https://github.com/Mikubill/sd-webui-controlnet 12 | tagger 13 | https://github.com/toriato/stable-diffusion-webui-wd14-tagger 14 | rembg 15 | https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg 16 | Self Attention Guidance 17 | https://github.com/ashen-sensored/sd_webui_SAG 18 | DWPose 19 | https://github.com/IDEA-Research/DWPose 20 | Tiled Diffusion & VAE 21 | https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 22 | DTG 23 | https://github.com/KohakuBlueleaf/z-a1111-sd-webui-dtg 24 | ``` 25 | ``` 26 | xyz_plot_script 27 | https://github.com/xrpgame/xyz_plot_script 28 | ultimate-upscale-for-automatic1111 29 | https://github.com/Coyote-A/ultimate-upscale-for-automatic1111 30 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/docs/style.md: -------------------------------------------------------------------------------- 1 | ## 预设 2 | ### 直接发送预设两个字返回所有预设 3 | ``` 4 | 预设 5 | 预设maid,red_eye,white_hair -n "女仆" -u "负面提示词" # 添加名为女仆的预设正面提示词为"maid,red_eye,white_hair" 6 | 预设 -f "女仆" # 查找名为女仆的预设 7 | 预设 -d "女仆" # 删除名为女仆的预设 8 | # 绘图女仆 插件检测到 "女仆" 即自动等于 绘图maid,red_eye,white_hair 9 | ``` -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/ADH.md: -------------------------------------------------------------------------------- 1 | # 更多详细说明请看 https://gitee.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao 2 | ### 快速画图: 绘画 白发,红色眼睛 3 | ### 请注意!!! 请用英文双引号把tags括起来 绘画"pink hair, red eye" 否则在带空格的情况下可能会意外解析 4 | ### 支持的插件和脚本 5 | 有想要的插件或者脚本可以联系雕雕适配 6 | ``` 7 | adetailer 8 | https://github.com/Bing-su/adetailer 9 | negpip 10 | https://github.com/hako-mikan/sd-webui-negpip 11 | cutoff 12 | https://github.com/hnmr293/sd-webui-cutoff 13 | controlnet 14 | https://github.com/Mikubill/sd-webui-controlnet 15 | tagger 16 | https://github.com/toriato/stable-diffusion-webui-wd14-tagger 17 | rembg 18 | https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg 19 | Self Attention Guidance 20 | https://github.com/ashen-sensored/sd_webui_SAG 21 | DWPose 22 | https://github.com/IDEA-Research/DWPose 23 | Tiled Diffusion & VAE 24 | https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 25 | DTG 26 | https://github.com/KohakuBlueleaf/z-a1111-sd-webui-dtg 27 | ``` 28 | ``` 29 | xyz_plot_script 30 | https://github.com/xrpgame/xyz_plot_script 31 | ultimate-upscale-for-automatic1111 32 | https://github.com/Coyote-A/ultimate-upscale-for-automatic1111 33 | ``` 34 | ### 群管理功能 🥰 35 | 发送 绘画设置 四个字查看本群绘画设置, 只有管理员和群主能更改设置 36 | ```text 37 | 当前群的设置为 38 | novelai_cd:2 # 群聊画图cd, 单位为秒 39 | novelai_tags: # 本群自带的正面提示词 40 | novelai_on:True # 是否打开本群AI绘画功能 41 | novelai_ntags: # 本群自带的负面提示词 42 | novelai_revoke:0 # 自动撤回? 0 为不撤回, 其余为撤回的时间, 单位秒 43 | novelai_h:0 # 是否允许色图 0为不允许, 1为删除屏蔽词, 2为允许 44 | novelai_htype:2 # 发现色图后的处理办法, 1为返回图片到私聊, 2为返回图片url,3为发送二维码, 4为不发送色图, 5为直接发送色图（高危） 45 | novelai_picaudit:3 # 是否打开图片审核功能 1为百度云图片审核, 2为本地审核功能, 3为关闭,4为使用tagger插件审核 46 | novelai_pure:False # 纯净模式, 开启后只返回图片, 不返回其他信息 47 | novelai_site:192.168.5.197:7860 # 使用的后端, 不清楚就不用改它 48 | 如何设置 49 | 示例 novelai_ 后面的是需要更改的名称 例如 novelai_cd 为 cd , novelai_revoke 为 revoke 50 | 51 | 绘画设置 on False # 关闭本群ai绘画功能 52 | 绘画设置 revoke 10 # 开启10秒后撤回图片功能 53 | 绘画设置 tags loli, white_hair # 设置群自带的正面提示词 54 | ``` 55 | ### 娱乐功能 56 | ```text 57 | # 第一个单词为功能的触发命令捏 58 | 二次元的我 59 | # 随机返回拼凑词条的图片 60 | 帮我画 61 | # 让chatgpt为你生成prompt吧, 帮我画夕阳下的少女 62 | ``` 63 | ### 额外功能 😋 64 | ```text 65 | 模型列表 0 lora 原 66 | 模型列表 0 emb 67 | 模型列表 1 vae 68 | 模型列表 0 ckpt 69 | # 查看2号后端的所有模型, 以及他们的索引 70 | 模型列表vae_后端编号 来获取vae模型 71 | 更换模型 72 | # 更换绘画模型, 更换模型数字索引, 例如, 更换模型1_2 为2号后端更换2号模型 73 | 以图绘图 74 | # 调用controlnet以图绘图, 标准命令格式: 以图绘图 关键词 [图片], 例如: 以图绘图 miku [图片], 直接 以图绘图[图片] 也是可以的 75 | controlnet 76 | # 返回control模块和模型, 如果带上图片则返回经过control模块处理后的图片, 例如 controlnet [图片] 77 | 随机模型 78 | ``` 79 | ``` 80 | 图片修复 81 | # 图片超分功能, 图片修复 [图片], 或者 图片修复 [图片1] [图片2], 单张图片修复倍率是3倍, 多张是2倍 82 | 后端 83 | # 查看所有后端的工作状态 84 | 模型列表 0 lora 原 (查看1号后端带有 原 的lora模型) 85 | 模型列表 0 emb 86 | # 同emb，直接发送lora获取所有的lora模型 使用 -lora 模型1编号_模型1权重,模型2编号_模型2权重，例如 -lora 341_1,233_0.9 87 | ``` 88 | ``` 89 | 采样器 90 | # 获取当前后端可用采样器 91 | 分析 92 | # 分析出图像的tags, 分析 [图片], [回复图片消息] 分析,都是可以的 93 | 审核 94 | # 审核一张图片, 看它色不色 95 | 翻译 96 | # 翻译女仆, 仅支持中译英 97 | ``` 98 | ``` 99 | 随机tag 100 | # 随机返回所有用户使用过的prompts 101 | 找图片 102 | # 图片生成的时候带有id, 使用 图片[图片id] 即可找到图片的追踪信息 103 | 词频统计 104 | # 字面含义 105 | 运行截图 106 | # 获取服务器的截图, 需要设置手动开启 107 | ``` 108 | ``` 109 | 再来一张 110 | # 字面含义 111 | 去背景 112 | # 使用webui-api抠图 113 | 读图 [图片] 114 | # 读取图片的元数据 115 | ``` 116 | ``` 117 | 预设 118 | # 直接发送预设两个字返回所有预设 119 | 预设 120 | 预设maid,red_eye,white_hair -n "女仆" -u "负面提示词" # 添加名为女仆的预设正面提示词为"maid,red_eye,white_hair" 121 | 预设 -f "女仆" # 查找名为女仆的预设 122 | 预设 -d "女仆" # 删除名为女仆的预设 123 | # 绘图女仆 插件检测到 "女仆" 即自动等于 绘图maid,red_eye,white_hair 124 | 释放显存0 125 | # 字面含义, 为1号后端释放显存并且重载模型 126 | ``` 127 | ``` 128 | 随机出图 129 | # 随机一个模型画一张图,也可以 随机出图miku来指定prompt 130 | 刷新模型 131 | # 刷新所有后端的lora和大模型 132 | 终止生成1 133 | 终止指定后端的生成任务 134 | ``` 135 | # 绘画功能详解 🖼️ 136 | ## 基础使用方法 😊 137 | ```text 138 | 基础使用方法, 使用.aidraw开头 139 | [{config.novelai_command_start}]也是可以的 140 | 带上图片即可图生图, 带上 -cn 参数启动controlnet以图生图功能 141 | 绘图的时候at你的群友, 会用她的头像作为以图生图对象 142 | 143 | 绘画 可爱的萝莉 144 | 约稿 可爱的萝莉 [图片] -hr 1.5 # 放大1.5倍 145 | .aidraw 可爱的萝莉 [图片] -cn 146 | ``` 147 | ## 关键词 ✏️ 148 | ```text 149 | 使用关键词(tags, prompt)描述你想生成的图像 150 | 绘画 白发, 红色眼睛, 萝莉 151 | 使用负面关键词(ntags, negative prompt)排除掉不想生成的内容 -u --ntags 152 | 绘画 绘画 白发, 红色眼睛, 萝莉 -u 多只手臂, 多只腿 153 | ``` 154 | 中文将会翻译成英文, 所以请尽量使用英文进行绘图, 多个关键词尽量用逗号分开 155 | ## 设置分辨率/画幅 156 | ```text 157 | 随机画幅比例 158 | 插件内置了几种画幅使用 -r 来指定或者推荐使用--ar 1：3来指定画幅比例 159 | ---- 160 | s 640x640 1:1方构图 161 | p 512x768 竖构图 162 | l 768x512 横构图 163 | uwp 450x900 1:2竖构图 164 | uw 900x450 2:1横构图 165 | ---- 166 | 绘画 萝莉 -r l # 画一幅分辨率为768x512 横构图 167 | 手动指定分辨率也是可以的, 例如 168 | 绘画 超级可爱的萝莉 -r 640x960 # 画一幅分辨率为640x960的图 169 | 绘画 miku --ar 21:9 # 画幅比例为21:9 170 | ``` 171 | 请注意, 如果开启了高清修复, 分辨率会再乘以高清修复的倍率, 所以不要太贪心,设置太高的分辨率!!!服务器可能会爆显存,导致生成失败, 建议使用默认预设即可 172 | ## 其它指令 173 | ```text 174 | 种子 175 | -s 176 | # 绘画 miku -s 114514 177 | ``` 178 | ```text 179 | 迭代步数 180 | -t 181 | # 绘画 miku -t 20 182 | ``` 183 | ```text 184 | 对输入的服从度, 当前默认值:{config.novelai_scale} 185 | -c 186 | # 绘画 miku -c 11 187 | 服从度较低时cd AI 有较大的自由发挥空间，服从度较高时 AI 则更倾向于遵守你的输入。但如果太高的话可能会产生反效果 (比如让画面变得难看)。更高的值也需要更多计算。 188 | 有时，越低的 scale 会让画面有更柔和，更有笔触感，反之会越高则会增加画面的细节和锐度 189 | 强度, 仅在以图生图和高清修复生效取值范围0-1,即重绘幅度 190 | -e 191 | # 绘画 miku [图片] -e 0.7 192 | ``` 193 | ```text 194 | 噪声, 仅在以图生图生效取值范围0-1 195 | -n 196 | # 绘画 miku [图片] -n 0.7 197 | ``` 198 | ```text 199 | 去除默认预设 200 | -o 201 | # 绘画 miku -o 202 | 清除掉主人提前设置好的tags和ntags 203 | ``` 204 | ```text 205 | 使用选择的采样器进行绘图 206 | -sp 207 | # 绘画 miku -sp DDIM 208 | 使用DDIM采样器进行绘图, 可以提前通过 采样器 指令来获取支持的采样器 有空格的采样器记得使用 ""括起来,例如 "Euler a" 209 | ``` 210 | ```text 211 | 使用选择的后端进行绘图 212 | -sd 213 | # 绘画 miku -sd 0 214 | 使用1号后端进行绘图工作(索引从0开始), 可以提前通过 后端 指令来获取后端工作状态 215 | ``` 216 | ```text 217 | 不希望翻译的字符 218 | -nt 219 | # 绘画 -nt 芝士雪豹 220 | "芝士雪豹"将不会被翻译 221 | ``` 222 | ```text 223 | 绘图并且更换模型 224 | -m 4 225 | # 绘画 miku -m 4 -sd 1 226 | 绘图并且为2号后端更换4号模型(暂时替换) 227 | ``` 228 | ```text 229 | 关闭自动匹配 230 | -match_off 231 | # 绘画胡桃 -match_off 232 | 本插件默认打开模糊匹配功能, 例如 233 | 绘画 胡桃 , 会自动找到名为胡桃的模型 234 | 如果不需要自动匹配的话加上本参数就可以关掉 235 | ``` 236 | ```text 237 | 高清修复倍率 238 | -hr 1.5 239 | # 绘画 -hr 1.5 240 | 设置高清修复倍率为1.5 241 | ``` 242 | ```text 243 | 本张图片绘图完成后进行再次超分,支持slow和fast， slow需要ultimate-upscale-for-automatic1111 244 | -sr slow -sr fast 245 | 使用 Tiled Diffusion 进行绘图, 降低显存使用, 可用于低分辨率出大图 246 | -td 247 | ``` 248 | ``` 249 | 绘制xyz表格 250 | -xyz 请严格按照以下格式 251 | 绘画reimu -xyz '9, "", ("DDIM", "Euler a", "Euler"), 4, "8, 12, 20", "", 0, "", ""' -sd 1 252 | 分为三段, 分别为xyz轴, 每条轴3个参数 253 | 第一位为数字, 为脚本索引(请去webui看, 或者使用获取脚本命令来查看)0为不使用本条轴 254 | 第二位为字符串, 具体如何使用请查看webui, 例如步数, prompt等是手动填写参数, 故填写第二个参数, 例如步数 255 | 第三位为元组, 当此项参数为可以由webui自动填写的时候填写, 例如采样器 256 | 以上命令解释为 257 | 绘画 x轴为采样器(第一位为9)轴, y轴为步数(第一位为4)轴的xyz图标, 不使用z轴(第一位为0) 258 | ``` 259 | ``` 260 | -ef 261 | 使用adetailer进行修复,默认修复眼睛 262 | -op 263 | 使用openpose的DWpose生图，能一定程度上降低手部和肢体崩坏 264 | -sag 265 | 使用Self Attention Guidance生图,能一定程度上提高生图质量 266 | ``` 267 | ``` 268 | -otp 269 | 使用controlnet inpaint进行扩图，图生图生效，推荐使用 270 | 绘画[图片] -otp --ar 21:9 -hr 1.2 271 | 扩图至21:9并且放大1.2倍 272 | -co 273 | cutoff插件减少关键词颜色污染 274 | 绘画white hair,blue eye,red dress -co white,blue,red 275 | 把出现在prompt中的颜色填到参数中即可 276 | ``` 277 | ``` 278 | -bs 本张图片使用指定的后端地址生图，例如： 279 | 绘画reimu -bs api.diaodiao.online:7860 280 | -ai 使用chatgpt辅助生成tags 281 | 绘画海边的少女 -ai 282 | ``` 283 | ``` 284 | -xl XL生图模式 285 | ``` 286 | ``` 287 | -dtg 使用语言模型补全tag 288 | -b 一次生成几张图 289 | -bc 生成几次图片 290 | ``` 291 | ### 最后, 送你一个示例 292 | ```text 293 | 绘画 plaid_skirt,looking back ，bare shoulders -t 20 -sd 0 -sp "UniPC" -c 8 -bc 3 -u nsfw 294 | ``` 295 | 画3张使用UniPC采样器, 步数20步, 服从度7, 不希望出现nsfw(不适宜内容)的图, 使用1号后端进行工作 -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/aidraw_help.py: -------------------------------------------------------------------------------- 1 | from nonebot import on_command, require 2 | 3 | from nonebot_plugin_alconna import on_alconna 4 | from arclet.alconna import Args, Alconna 5 | from pathlib import Path 6 | 7 | from nonebot_plugin_alconna import UniMessage 8 | 9 | import aiohttp, json 10 | import os 11 | import aiofiles 12 | 13 | require("nonebot_plugin_htmlrender") 14 | from nonebot_plugin_htmlrender import md_to_pic 15 | 16 | 17 | # aidraw_help = on_command("绘画帮助", aliases={"帮助", "help"}, priority=1, block=True) 18 | 19 | aidraw_help = on_alconna( 20 | Alconna("绘画帮助", Args["sub?", str]), 21 | aliases={"帮助", "help", "菜单"}, 22 | priority=1, 23 | block=True, 24 | ) 25 | 26 | 27 | async def get_url(): 28 | async with aiohttp.ClientSession() as session: 29 | async with session.get(url="https://www.dmoe.cc/random.php?return=json") as resp: 30 | resp_text = await resp.text(encoding="utf-8") 31 | resp_dict = json.loads(resp_text) 32 | url = resp_dict["imgurl"] 33 | return url 34 | 35 | 36 | @aidraw_help.handle() 37 | async def _(sub): 38 | path_to_md = Path(os.path.dirname(__file__)).parent / 'docs' 39 | 40 | msg = UniMessage.text('') 41 | 42 | if isinstance(sub, str): 43 | match sub: 44 | case "后端": 45 | path_to_md = path_to_md / 'backend.md' 46 | case "管理": 47 | path_to_md = path_to_md / 'mange.md' 48 | case "模型": 49 | path_to_md = path_to_md / 'model.md' 50 | case "其他生图": 51 | path_to_md = path_to_md / 'other_gen.md' 52 | case "其他命令": 53 | path_to_md = path_to_md / 'others.md' 54 | case "参数": 55 | path_to_md = path_to_md / 'parameter.md' 56 | case "插件": 57 | path_to_md = path_to_md / 'plugin.md' 58 | case "预设": 59 | path_to_md = path_to_md / 'style.md' 60 | case _: 61 | path_to_md = path_to_md / 'basic.md' 62 | else: 63 | path_to_md = path_to_md / 'basic.md' 64 | 65 | msg = UniMessage.text(''' 66 | 命令支持以下子菜单, 发送: 67 | 绘画帮助 后端 68 | 绘画帮助 管理 69 | 绘画帮助 模型 70 | 绘画帮助 参数 71 | 绘画帮助 插件 72 | 绘画帮助 预设 73 | 绘画帮助 其他生图 74 | 绘画帮助 其他命令 75 | 项目地址: github.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao 76 | 友情: github.com/DiaoDaiaChan/nonebot-plugin-comfyui 77 | ''') 78 | 79 | async with aiofiles.open(path_to_md, 'r', encoding='utf-8') as f: 80 | content = await f.read() 81 | img = await md_to_pic(md=content, 82 | width=1000 83 | ) 84 | msg += UniMessage.image(raw=img) 85 | await msg.send() 86 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/anlas.py: -------------------------------------------------------------------------------- 1 | from pathlib import Path 2 | import json 3 | import aiofiles 4 | from nonebot.adapters.onebot.v11 import Bot,GroupMessageEvent, Message, MessageSegment 5 | from nonebot.permission import SUPERUSER 6 | from nonebot.params import CommandArg 7 | from nonebot import on_command, get_driver 8 | 9 | jsonpath = Path("data/novelai/anlas.json").resolve() 10 | setanlas = on_command(".anlas") 11 | 12 | @setanlas.handle() 13 | async def anlas_handle(bot:Bot,event: GroupMessageEvent, args: Message = CommandArg()): 14 | atlist = [] 15 | user_id = str(event.user_id) 16 | for seg in event.original_message["at"]: 17 | atlist.append(seg.data["qq"]) 18 | messageraw = args.extract_plain_text().strip() 19 | if not messageraw or messageraw == "help": 20 | await setanlas.finish(f"点数计算方法(四舍五入):分辨率*数量*强度/45875\n.anlas+数字+@某人 将自己的点数分给对方\n.anlas check 查看自己的点数") 21 | elif messageraw == "check": 22 | if await SUPERUSER(bot,event): 23 | await setanlas.finish(f"Master不需要点数哦") 24 | else: 25 | anlas = await anlas_check(user_id) 26 | await setanlas.finish(f"你的剩余点数为{anlas}") 27 | if atlist: 28 | at = atlist[0] 29 | if messageraw.isdigit(): 30 | anlas_change = int(messageraw) 31 | if anlas_change > 1000: 32 | await setanlas.finish(f"一次能给予的点数不超过1000") 33 | if await SUPERUSER(bot,event): 34 | _, result = await anlas_set(at, anlas_change) 35 | message = f"分配完成：" + \ 36 | MessageSegment.at(at)+f"的剩余点数为{result}" 37 | else: 38 | result, user_anlas = await anlas_set(user_id, -anlas_change) 39 | if result: 40 | _, at_anlas = await anlas_set(at, anlas_change) 41 | message = f"分配完成：\n"+MessageSegment.at( 42 | user_id)+f"的剩余点数为{user_anlas}\n"+MessageSegment.at(at)+f"的剩余点数为{at_anlas}" 43 | await setanlas.finish(message) 44 | else: 45 | await setanlas.finish(f"分配失败：点数不足，你的剩余点数为{user_anlas}") 46 | await setanlas.finish(message) 47 | else: 48 | await setanlas.finish(f"请以正整数形式输入点数") 49 | else: 50 | await setanlas.finish(f"请@你希望给予点数的人") 51 | 52 | 53 | async def anlas_check(user_id): 54 | if not jsonpath.exists(): 55 | jsonpath.parent.mkdir(parents=True, exist_ok=True) 56 | async with aiofiles.open(jsonpath, "w+")as f: 57 | await f.write("{}") 58 | async with aiofiles.open(jsonpath, "r") as f: 59 | jsonraw = await f.read() 60 | anlasdict: dict = json.loads(jsonraw) 61 | anlas = anlasdict.get(user_id, 0) 62 | return anlas 63 | 64 | 65 | async def anlas_set(user_id, change): 66 | oldanlas = await anlas_check(user_id) 67 | newanlas = oldanlas+change 68 | if newanlas < 0: 69 | return False, oldanlas 70 | anlasdict = {} 71 | async with aiofiles.open(jsonpath, "r") as f: 72 | jsonraw = await f.read() 73 | anlasdict: dict = json.loads(jsonraw) 74 | anlasdict[user_id] = newanlas 75 | async with aiofiles.open(jsonpath, "w+") as f: 76 | jsonnew = json.dumps(anlasdict) 77 | await f.write(jsonnew) 78 | return True, newanlas 79 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/civitai.py: -------------------------------------------------------------------------------- 1 | import aiohttp 2 | import aiofiles 3 | import os 4 | import json 5 | import asyncio 6 | import random 7 | 8 | from nonebot.rule import ArgumentParser 9 | from nonebot.adapters.onebot.v11 import Bot, MessageEvent, MessageSegment 10 | from nonebot.params import ShellCommandArgs 11 | from nonebot import on_shell_command 12 | from argparse import Namespace 13 | from nonebot.log import logger 14 | from ..extension.safe_method import send_forward_msg 15 | from ..config import config 16 | from ..backend import AIDRAW 17 | from ..utils.data import lowQuality 18 | from ..utils import pic_audit_standalone, txt_audit, aiohttp_func 19 | 20 | civitai_parser = ArgumentParser() 21 | civitai_parser.add_argument("-l", "--limit", "-搜索数量",type=int, help="搜索匹配数量", dest="limit") 22 | civitai_parser.add_argument("-d", "--download", "-下载", type=str, help="下载指定模型id", dest="download") 23 | civitai_parser.add_argument("-s", "--search", "-搜索", type=str, help="搜索模型名称", dest="search") 24 | civitai_parser.add_argument("-c", "--cookie", type=str, help="设置cookie", dest="cookie") 25 | civitai_parser.add_argument("-sd", type=str, help="选择后端", dest="backend") 26 | civitai_parser.add_argument("-run", action="store_true", help="立马画图", dest="run_") 27 | 28 | civitai_ = on_shell_command( 29 | "c站", 30 | aliases={"civitai"}, 31 | parser=civitai_parser, 32 | priority=5 33 | ) 34 | 35 | 36 | async def download_img(url: str) -> bytes | None: 37 | try: 38 | async with aiohttp.ClientSession() as session: 39 | async with session.get(url, proxy=config.proxy_site) as resp: 40 | content = await resp.read() 41 | await asyncio.sleep(random.randint(1, 10) / 10) 42 | return content 43 | except: 44 | return None 45 | 46 | 47 | @civitai_.handle() 48 | async def _(event: MessageEvent, bot: Bot, args: Namespace = ShellCommandArgs()): 49 | 50 | token_file_name = "data/novelai/civitai.json" 51 | 52 | if args.download: 53 | if not args.backend: 54 | await civitai_.finish("请选择后端！") 55 | else: 56 | if "_" in args.download: 57 | download_id = args.download.split("_")[0] 58 | model_type = args.download.split("_")[1] 59 | site = config.backend_site_list[int(args.backend)] 60 | payload = { 61 | "download_id": download_id, 62 | "model_type": model_type 63 | } 64 | resp, status_code = await aiohttp_func("post", f"http://{site}/civitai/download", payload) 65 | 66 | if status_code not in [200, 201]: 67 | await civitai_.finish(f"错误代码{status_code}, 请检查后端") 68 | else: 69 | post_end_point_list = ["/sdapi/v1/refresh-loras", "/sdapi/v1/refresh-checkpoints"] 70 | task_list = [] 71 | for end_point in post_end_point_list: 72 | backend_url = f"http://{site}{end_point}" 73 | task_list.append(aiohttp_func("post", backend_url, {})) 74 | 75 | _ = await asyncio.gather(*task_list, return_exceptions=False) 76 | model_name:str = resp['name'] 77 | model_name = model_name.split(".")[0] 78 | 79 | if args.run_: 80 | prompt = f"" if model_type == "LORA" else model_name 81 | fifo = AIDRAW( 82 | tags=prompt, 83 | ntags=lowQuality, 84 | event=event, 85 | backend_index=int(args.backend), 86 | ) 87 | fifo.backend_site = site 88 | await fifo.post() 89 | await bot.send( 90 | event, 91 | message=MessageSegment.image(fifo.result[0]), 92 | reply_message=True, 93 | at_sender=True 94 | ) 95 | await civitai_.finish(f"下载成功！模型哈希值: {resp['hash']}, 耗时: {resp['spend_time']}秒\n模型文件名: {model_name}") 96 | else: 97 | await civitai_.finish("格式错误！\n请按照 下载id_模型类型 来下载!") 98 | 99 | if args.cookie: 100 | cookie_dict = {"civitai_token": args.cookie} 101 | async with aiofiles.open(token_file_name, "w", encoding="utf-8") as f: 102 | await f.write(json.dumps(cookie_dict)) 103 | await civitai_.finish("已保存cookie") 104 | 105 | if os.path.exists(token_file_name): 106 | async with aiofiles.open(token_file_name, "r", encoding="utf-8") as f: 107 | content = await f.read() 108 | civitai_token = json.loads(content)["civitai_token"] 109 | else: 110 | civitai_token = "Bearer 2e26aef97da9f1cf130af139de17f43c49088e9ea9492453cec79afd0d85521a" 111 | 112 | search_headers = { 113 | "Authorization": civitai_token, 114 | "Content-Type": "application/json", 115 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.0.0" 116 | } 117 | 118 | if args.search: 119 | all_msg_list = [] 120 | search_post_url = "https://meilisearch-v1-6.civitai.com/multi-search" 121 | key_word = args.search 122 | 123 | resp = await txt_audit(key_word) 124 | if 'yes' in resp: 125 | key_word = 'anime' 126 | 127 | search_payload = { 128 | "queries": 129 | [{"q":key_word, 130 | "indexUid":"models_v9", 131 | "facets":[], 132 | "attributesToHighlight":["*"], 133 | "highlightPreTag":"__ais-highlight__", 134 | "highlightPostTag":"__/ais-highlight__", 135 | "limit":args.limit or 2, 136 | "offset":0}] 137 | } 138 | 139 | async with aiohttp.ClientSession(headers=search_headers) as session: 140 | async with session.post( 141 | search_post_url, 142 | json=search_payload, 143 | proxy=config.proxy_site 144 | ) as resp: 145 | if resp.status not in [200, 201]: 146 | resp_text = await resp.text() 147 | logger.error(f"civitai搜索失败,错误码:{resp.status}\n错误信息{resp_text}") 148 | raise RuntimeError 149 | else: 150 | search_result = await resp.json() 151 | models_page = search_result["results"][0]["hits"] 152 | try: 153 | for model in models_page: 154 | text_msg = "" 155 | model_type = model['type'] 156 | download_id = model['version']['id'] 157 | text_msg += f"模型名称: {model['name']}\n模型id: civitai.com/models/{model['id']}\n模型类型: {model_type}\n" 158 | metrics_replace_list = ["评论总数", "喜欢次数", "下载次数", "评分", "评分总数", "加权评分"] 159 | metrics_msg = "" 160 | metrics_dict: dict = model['metrics'] 161 | for replace, value in zip(metrics_replace_list, list(metrics_dict.values())): 162 | metrics_msg += f"{replace}: {value}\n" 163 | hash_str = '\n'.join(model['hashes']) 164 | trigger_words = model['triggerWords'][0] if len(model['triggerWords']) != 0 else "" 165 | text_msg += f"{metrics_msg}\n下载id: {download_id}\n作者: {model['user']['username']}, id: {model['user']['id']}\n哈希值: {hash_str}\n触发词: {trigger_words}\n以下是返图" 166 | 167 | images = model['images'] 168 | task_list = [] 169 | for image in images: 170 | if len(task_list) > 1: 171 | break 172 | url = f"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/{image['url']}/{image['name']}" 173 | task_list.append(download_img(url)) 174 | 175 | all_resp = await asyncio.gather(*task_list, return_exceptions=False) 176 | pic_msg = [] 177 | for byte_img in all_resp: 178 | if byte_img is not None and config.novelai_extra_pic_audit: 179 | if config.novelai_extra_pic_audit: 180 | is_r18 = await pic_audit_standalone(byte_img, False, False, True) 181 | ( 182 | pic_msg.append(MessageSegment.text("这张图片太色了, 不准看!\n")) if is_r18 183 | else pic_msg.append(MessageSegment.image(byte_img)) 184 | ) 185 | else: 186 | pic_msg.append(MessageSegment.image(byte_img)) 187 | logger.debug(text_msg) 188 | all_msg_list.append(text_msg) 189 | all_msg_list.append(pic_msg) 190 | except IndexError: 191 | await civitai_.finish("报错了!可能是搜索到的模型太少, 请手动设置 --limit 1 以查看一个模型") 192 | await send_forward_msg(bot, event, event.sender.nickname, event.user_id, all_msg_list) -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/control_net.py: -------------------------------------------------------------------------------- 1 | from PIL import Image 2 | from io import BytesIO 3 | import io 4 | import base64 5 | import aiohttp 6 | from ..config import config 7 | 8 | max_res = 800 9 | 10 | 11 | async def control_net_func(pic: bytes, sd_url, tag): 12 | new_img = Image.open(io.BytesIO(pic)).convert("RGB") 13 | old_res = new_img.width * new_img.height 14 | width = new_img.width 15 | height = new_img.height 16 | 17 | if old_res > pow(max_res, 2): 18 | if width <= height: 19 | ratio = height/width 20 | width: float = max_res/pow(ratio, 0.5) 21 | height: float = width*ratio 22 | else: 23 | ratio = width/height 24 | height: float = max_res/pow(ratio, 0.5) 25 | width: float = height*ratio 26 | 27 | new_img.resize((round(width), round(height))) 28 | img_bytes = BytesIO() 29 | new_img.save(img_bytes, format="JPEG") 30 | img_bytes = img_bytes.getvalue() 31 | img_base64 = base64.b64encode(img_bytes).decode("utf-8") 32 | 33 | # "data:image/jpeg;base64," + 34 | 35 | payload = { 36 | "prompt": tag, 37 | "negative_prompt": "秋柔嫣姬", 38 | "controlnet_input_image": [img_base64], 39 | "controlnet_module": "canny", 40 | "controlnet_model": "control_canny [9d312881]", 41 | "controlnet_weight": 0.8, 42 | "controlnet_resize_mode": "Scale to Fit (Inner Fit)", 43 | "controlnet_lowvram": "false", 44 | "controlnet_processor_res": 768, 45 | "controlnet_threshold_a": 100, 46 | "controlnet_threshold_b": 250, 47 | "sampler_index": "DDIM", 48 | "steps": 15, 49 | "cfg_scale": 7, 50 | "width": round(width), 51 | "height":round(height), 52 | "restore_faces": "false", 53 | "override_settings_restore_afterwards": "true" 54 | } 55 | 56 | 57 | async with aiohttp.ClientSession() as session: 58 | async with session.post(url=sd_url + "/controlnet/txt2img", json=payload) as resp: 59 | print(resp.status) 60 | resp_all = await resp.json() 61 | resp_img = resp_all["images"][0] 62 | 63 | return base64.b64decode(resp_img), resp_img 64 | 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/daylimit.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | from ..config import config, redis_client 4 | import aiofiles 5 | import ast 6 | from datetime import datetime 7 | from nonebot import logger 8 | 9 | 10 | async def count(user: str, num) -> int: 11 | mutil = 1 if config.novelai_daylimit_type == 1 else 20 12 | current_date = datetime.now().date() 13 | day: str = str(int(datetime.combine(current_date, datetime.min.time()).timestamp())) 14 | json_data = {"date": day, "count": {}, "gpu": {backend: 0 for backend in config.backend_name_list}} 15 | 16 | if redis_client: 17 | r = redis_client[2] 18 | 19 | if r.exists(day): 20 | redis_data = r.get(day) 21 | json_data = ast.literal_eval(redis_data.decode("utf-8")) if redis_data else json_data 22 | else: 23 | r.set(day, str(json_data)) 24 | 25 | if config.novelai_daylimit_type == 2: 26 | spend_time_dict = json_data.get("spend_time", {}) 27 | total_spend_time = spend_time_dict.get(user, 0) 28 | 29 | if total_spend_time > config.novelai_daylimit * mutil: 30 | return -1 31 | left_time = max(1, config.novelai_daylimit * mutil - total_spend_time) 32 | return left_time 33 | 34 | data = json_data["count"] 35 | count = data.get(user, 0) + num 36 | 37 | if config.novelai_daylimit_type == 1: 38 | data[user] = count 39 | json_data["count"] = data 40 | r.set(day, str(json_data)) 41 | if count > config.novelai_daylimit: 42 | return -1 43 | return config.novelai_daylimit - count 44 | 45 | else: 46 | filename = "data/novelai/day_limit_data.json" 47 | 48 | async def save_data(data): 49 | async with aiofiles.open(filename, "w") as file: 50 | await file.write(json.dumps(data)) 51 | 52 | if os.path.exists(filename): 53 | async with aiofiles.open(filename, "r") as file: 54 | content = await file.read() 55 | json_data: dict = json.loads(content) 56 | try: 57 | json_data["date"] 58 | except KeyError: 59 | json_data = {"date": day, "count": {}} 60 | if json_data["date"] != day: 61 | json_data = {"date": day, "count": {}} 62 | 63 | data = json_data["count"] 64 | count: int = data.get(user, 0) + num 65 | if count > config.novelai_daylimit: 66 | return -1 67 | else: 68 | data[user] = count 69 | json_data["count"] = data 70 | await save_data(json_data) 71 | return config.novelai_daylimit * mutil - count 72 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/deepdanbooru.py: -------------------------------------------------------------------------------- 1 | import base64 2 | 3 | from nonebot import on_command, Bot 4 | from nonebot.log import logger 5 | 6 | from nonebot_plugin_alconna import UniMessage, Alconna, on_alconna, Args 7 | from nonebot_plugin_alconna.uniseg import Reply, Image 8 | from typing import Union 9 | 10 | from .translation import translate 11 | from .safe_method import send_forward_msg, risk_control 12 | from ..config import config, __SUPPORTED_MESSAGEEVENT__, message_event_type 13 | from ..utils import pic_audit_standalone, txt_audit, aiohttp_func 14 | from ..aidraw import get_message_at 15 | 16 | from .sd_extra_api_func import SdAPI 17 | 18 | deepdanbooru = on_command(".gettag", aliases={"鉴赏", "查书", "分析"}) 19 | 20 | 21 | @deepdanbooru.handle() 22 | async def deepdanbooru_handle(event: __SUPPORTED_MESSAGEEVENT__, bot: Bot): 23 | 24 | h_ = None 25 | url = "" 26 | 27 | if isinstance(event, message_event_type[1]): 28 | 29 | for seg in event.message['image']: 30 | url = seg.data["url"] 31 | at_id = await get_message_at(event.json()) 32 | # 获取图片url 33 | if at_id: 34 | url = f"https://q1.qlogo.cn/g?b=qq&nk={at_id}&s=640" 35 | reply = event.reply 36 | if reply: 37 | for seg in reply.message['image']: 38 | url = seg.data["url"] 39 | 40 | elif isinstance(event, message_event_type[0]): 41 | url = await SdAPI.get_qq_img_url(event) 42 | 43 | if url: 44 | bytes_ = await aiohttp_func("get", url, byte=True) 45 | 46 | if config.novelai_tagger_site: 47 | resp_tuple = await pic_audit_standalone(bytes_, True) 48 | if resp_tuple is None: 49 | await deepdanbooru.finish("识别失败") 50 | h_, tags = resp_tuple 51 | tags = ", ".join(tags) 52 | tags = tags.replace( 53 | 'general, sensitive, questionable, explicit, ', "", 1 54 | ) 55 | tags = tags.replace("_", " ") 56 | 57 | tags_ch = await translate(tags, "zh") 58 | message_list = [tags, f"机翻结果:\n" + tags_ch] 59 | 60 | if h_: 61 | message_list = message_list + [h_] 62 | if isinstance(event, message_event_type[1]): 63 | await send_forward_msg( 64 | bot, 65 | event, 66 | event.sender.nickname, 67 | str(event.get_user_id()), 68 | message_list 69 | ) 70 | return 71 | result = tags + tags_ch 72 | resp = await txt_audit(str(result)) 73 | if 'yes' in resp: 74 | result = '对不起, 请重新发送图片' 75 | await risk_control(result, True) 76 | 77 | else: 78 | await deepdanbooru.finish(f"未找到图片") 79 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/explicit_api.py: -------------------------------------------------------------------------------- 1 | import traceback 2 | 3 | from ..config import nickname 4 | from ..utils import revoke_msg, aiohttp_func 5 | from ..utils.save import save_img 6 | from ..utils import sendtosuperuser, pic_audit_standalone, run_later 7 | 8 | from io import BytesIO 9 | import base64 10 | import aiofiles 11 | import nonebot 12 | import os 13 | import urllib 14 | import re 15 | import qrcode 16 | import time 17 | import asyncio 18 | 19 | from nonebot.adapters.onebot.v11 import PrivateMessageEvent, MessageEvent as ObV11MessageEvent 20 | from nonebot.log import logger 21 | from nonebot_plugin_alconna import UniMessage 22 | 23 | from ..config import config 24 | 25 | 26 | async def send_qr_code(bot, fifo, img_url): 27 | img_id = time.time() 28 | img = qrcode.make(img_url[0]) 29 | file_name = f"qr_code_{img_id}.png" 30 | img.save(file_name) 31 | with open(file_name, 'rb') as f: 32 | bytes_img = f.read() 33 | message_data = await bot.send_group_msg(group_id=fifo.group_id, message=UniMessage.image(raw=bytes_img)) 34 | os.remove(file_name) 35 | return message_data 36 | 37 | 38 | async def add_qr_code(img_url, message: list): 39 | img_id = time.time() 40 | img = qrcode.make(img_url[0]) 41 | file_name = f"qr_code_{img_id}.png" 42 | img.save(file_name) 43 | with open(file_name, 'rb') as f: 44 | bytes_img = f.read() 45 | message += UniMessage.image(raw=bytes_img) 46 | os.remove(file_name) 47 | return message 48 | 49 | 50 | async def get_img_url(message_data, bot): 51 | message_id = message_data["message_id"] 52 | message_all = await bot.get_msg(message_id=message_id) 53 | url_regex = r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+' 54 | img_url = re.findall(url_regex, str(message_all["message"])) 55 | return img_url 56 | 57 | 58 | async def audit_all_image(fifo, img_bytes): 59 | task_list = [] 60 | for i in img_bytes: 61 | task_list.append(check_safe(i, fifo)) 62 | 63 | result = await asyncio.gather(*task_list, return_exceptions=False) 64 | 65 | return result 66 | 67 | 68 | async def check_safe_method( 69 | fifo, 70 | event, 71 | img_bytes, 72 | message: UniMessage, 73 | bot_id=None, 74 | save_img_=True, 75 | extra_lable="", 76 | ) -> UniMessage: 77 | 78 | is_obv11 = isinstance(event, ObV11MessageEvent) 79 | 80 | try: 81 | bot = nonebot.get_bot(bot_id) 82 | except: 83 | bot = nonebot.get_bot() 84 | 85 | raw_message = f"\n{nickname}已经" 86 | label = "" 87 | # 判读是否进行图片审核 88 | h = await config.get_value(fifo.group_id, "h") 89 | revoke = await config.get_value(fifo.group_id, "revoke") 90 | nsfw_count = 0 91 | # 私聊保存图片 92 | 93 | if isinstance(event, PrivateMessageEvent): 94 | if save_img_: 95 | for i in img_bytes: 96 | await run_later( 97 | save_img( 98 | fifo, i, fifo.group_id 99 | ) 100 | ) 101 | for i in img_bytes: 102 | message += UniMessage.image(raw=i) 103 | return message 104 | 105 | audit_result = await audit_all_image(fifo, img_bytes) 106 | 107 | for index, (i, audit_result) in enumerate(zip(img_bytes, audit_result)): 108 | 109 | unimsg_img = UniMessage.image(raw=i) 110 | if await config.get_value(fifo.group_id, "picaudit") in [1, 2, 4] or config.novelai_picaudit in [1, 2, 4]: 111 | label, h_value, fifo.audit_info = audit_result 112 | if not label: 113 | logger.warning(f"审核调用失败，错误代码为{traceback.format_exc()}，为了安全期间转为二维码发送图片") 114 | label = "unknown" 115 | if is_obv11: 116 | message_data = await sendtosuperuser( 117 | f"审核失败惹！{unimsg_img}", 118 | bot_id 119 | ) 120 | img_url = await get_img_url(message_data, bot) 121 | message_data = await send_qr_code(bot, fifo, img_url) 122 | if revoke: 123 | await revoke_msg(message_data, bot, revoke) 124 | else: 125 | await UniMessage.text("审核失败惹！").send() 126 | 127 | if label in ["safe", "general", "sensitive"]: 128 | label = "_safe" 129 | message += unimsg_img 130 | elif label == "unknown": 131 | message += "审核失败\n" 132 | if save_img_: 133 | await run_later( 134 | save_img( 135 | fifo, i, fifo.group_id 136 | ) 137 | ) 138 | return message 139 | else: 140 | label = "_explicit" 141 | message += f"太涩了,让我先看, 这张图涩度{h_value:.1f}%\n" 142 | fifo.video = None 143 | nsfw_count += 1 144 | htype = await config.get_value(fifo.group_id, "htype") or config.novelai_htype 145 | if is_obv11: 146 | message_data = await sendtosuperuser( 147 | f"让我看看谁又画色图了{await unimsg_img.export()}\n来自群{fifo.group_id}的{fifo.user_id}\n{fifo.img_hash}", 148 | bot_id) 149 | img_url = await get_img_url(message_data, bot) 150 | if htype == 1: 151 | try: 152 | message_data = await bot.send_private_msg( 153 | user_id=fifo.user_id, 154 | message=f"悄悄给你看哦{await unimsg_img.export()}\n{fifo.img_hash}+AI绘图模型根据用户QQ{fifo.user_id}指令生成图片，可能会生成意料之外的内容，不代表本人观点或者态度" 155 | ) 156 | except: 157 | message_data = await bot.send_group_msg( 158 | group_id=fifo.group_id, 159 | message=f"请先加机器人好友捏, 才能私聊要涩图捏\n{fifo.img_hash}" 160 | ) 161 | elif htype == 2: 162 | try: 163 | message_data = await bot.send_group_msg( 164 | group_id=fifo.group_id, 165 | message=f"这是图片的url捏,{img_url[0]}\n{fifo.img_hash}" 166 | ) 167 | except: 168 | try: 169 | message_data = await bot.send_private_msg( 170 | user_id=fifo.user_id, 171 | message=f"悄悄给你看哦{await unimsg_img.export()}\n{fifo.img_hash}" 172 | ) 173 | except: 174 | try: 175 | message_data = await bot.send_group_msg( 176 | group_id=fifo.group_id, 177 | message=f"URL发送失败, 私聊消息发送失败, 请先加好友\n{fifo.img_hash}" 178 | ) 179 | except: 180 | message_data = await send_qr_code(bot, fifo, img_url) 181 | elif htype == 3: 182 | if config.novelai_pure: 183 | message_data = await send_qr_code(bot, fifo, img_url) 184 | message = await add_qr_code(img_url, message) 185 | elif htype == 4: 186 | await bot.send_group_msg( 187 | group_id=fifo.group_id, 188 | message=f"太色了, 不准看" 189 | ) 190 | try: 191 | await bot.call_api( 192 | "send_private_msg", 193 | { 194 | "user_id": fifo.user_id, 195 | "message": await unimsg_img.export() 196 | } 197 | ) 198 | except: 199 | await bot.send_group_msg(fifo.group_id, f"呜呜,你不加我好友我怎么发图图给你!") 200 | elif htype == 5: 201 | await bot.send_group_msg( 202 | group_id=fifo.group_id, 203 | message=f"是好康{await unimsg_img.export()}\n{fifo.img_hash}" 204 | ) 205 | 206 | revoke = await config.get_value(fifo.group_id, "revoke") 207 | if revoke: 208 | await revoke_msg(message_data, bot, revoke) 209 | 210 | else: 211 | await UniMessage.text("检测到NSFW图片!").send(reply_to=True) 212 | else: 213 | if save_img_: 214 | await run_later( 215 | save_img( 216 | fifo, i, fifo.group_id + extra_lable 217 | ) 218 | ) 219 | message += unimsg_img 220 | return message 221 | if save_img_: 222 | await run_later( 223 | save_img( 224 | fifo, i, fifo.group_id + extra_lable + label 225 | ) 226 | ) 227 | if nsfw_count: 228 | message += f"有{nsfw_count}张图片太涩了，{raw_message}帮你吃掉了" 229 | return message 230 | 231 | 232 | async def check_safe(img_bytes: BytesIO, fifo, is_check=False): 233 | headers = { 234 | 'Content-Type': 'application/x-www-form-urlencoded', 235 | 'Accept': 'application/json' 236 | } 237 | picaudit = await config.get_value(fifo.group_id, 'picaudit') or config.novelai_picaudit 238 | if picaudit == 4 or picaudit == 2: 239 | message = "N/A" 240 | img_base64 = base64.b64encode(img_bytes).decode() 241 | try: 242 | possibilities, message = await pic_audit_standalone(img_base64, False, True) 243 | except: 244 | # 露出色图太危险力, 直接一刀切 245 | raise 246 | value = list(possibilities.values()) 247 | value.sort(reverse=True) 248 | reverse_dict = {value: key for key, value in possibilities.items()} 249 | logger.info(message) 250 | return "explicit" if reverse_dict[value[0]] == "questionable" else reverse_dict[value[0]], value[0] * 100, message 251 | 252 | elif picaudit == 3: 253 | return 254 | 255 | elif picaudit == 1: 256 | async def get_file_content_as_base64(path, urlencoded=False): 257 | # 不知道为啥, 不用这个函数处理的话API会报错图片格式不正确, 试过不少方法了,还是不行( 258 | """ 259 | 获取文件base64编码 260 | :param path: 文件路径 261 | :param urlencoded: 是否对结果进行urlencoded 262 | :return: base64编码信息 263 | """ 264 | with open(path, "rb") as f: 265 | content = base64.b64encode(f.read()).decode("utf8") 266 | if urlencoded: 267 | content = urllib.parse.quote_plus(content) 268 | return content 269 | 270 | async def get_access_token(): 271 | """ 272 | 使用 AK，SK 生成鉴权签名（Access Token） 273 | :return: access_token，或是None(如果错误) 274 | """ 275 | url = "https://aip.baidubce.com/oauth/2.0/token" 276 | params = {"grant_type": "client_credentials", 277 | "client_id": config.novelai_pic_audit_api_key["API_KEY"], 278 | "client_secret": config.novelai_pic_audit_api_key["SECRET_KEY"]} 279 | json = await aiohttp_func("post", url, params=params) 280 | return json["access_token"] 281 | 282 | 283 | async with aiofiles.open("image.jpg", "wb") as f: 284 | await f.write(img_bytes) 285 | base64_pic = await get_file_content_as_base64("image.jpg", True) 286 | payload = 'image=' + base64_pic 287 | token = await get_access_token() 288 | baidu_api = "https://aip.baidubce.com/rest/2.0/solution/v1/img_censor/v2/user_defined?access_token=" + token 289 | result = aiohttp_func("post", baidu_api, payload, headers=headers) 290 | async with aiohttp.ClientSession(headers=headers) as session: 291 | async with session.post(baidu_api, data=payload) as resp: 292 | result = await resp.json() 293 | logger.info(f"审核结果:{result}") 294 | if is_check: 295 | return result 296 | if result['conclusionType'] == 1: 297 | return "safe", result['data'][0]['probability'] * 100, "" 298 | else: 299 | return "", result['data'][0]['probability'] * 100 300 | 301 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/graph.py: -------------------------------------------------------------------------------- 1 | import matplotlib.pyplot as plt 2 | 3 | from io import BytesIO 4 | from ..config import redis_client 5 | 6 | 7 | class GraphDrawer: 8 | def __init__( 9 | self, x: list, y: list, 10 | x_name: str, y_name: str, 11 | title: str 12 | ): 13 | self.x = x 14 | self.y = y 15 | self.x_name = x_name 16 | self.y_name = y_name 17 | self.title = title 18 | 19 | async def draw_and_return_graph(self) -> bytes: 20 | plt.figure() 21 | 22 | plt.plot(self.x, self.y) 23 | plt.title(self.title) 24 | plt.xlabel(self.x_name) 25 | plt.ylabel(self.y_name) 26 | 27 | buffer = BytesIO() 28 | plt.savefig(buffer, format="png") 29 | buffer.seek(0) 30 | graph_byte = buffer.getvalue() 31 | 32 | plt.close() 33 | 34 | return graph_byte 35 | 36 | 37 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/safe_method.py: -------------------------------------------------------------------------------- 1 | from nonebot import require 2 | from nonebot.adapters.onebot.v11 import ( 3 | Bot, 4 | MessageEvent as ObV11MessageEvent, 5 | Message, 6 | PrivateMessageEvent, 7 | GroupMessageEvent 8 | ) 9 | 10 | from nonebot_plugin_alconna import UniMessage 11 | from typing import Union 12 | 13 | require("nonebot_plugin_htmlrender") 14 | from nonebot_plugin_htmlrender import md_to_pic 15 | 16 | 17 | async def send_forward_msg( 18 | bot: Bot, 19 | event: ObV11MessageEvent, 20 | name: str, 21 | uin: str, 22 | msgs: list, 23 | ) -> dict: 24 | 25 | def to_json(msg: Message): 26 | return { 27 | "type": "node", 28 | "data": 29 | { 30 | "name": name, 31 | "uin": uin, 32 | "content": msg 33 | } 34 | } 35 | 36 | messages = [to_json(msg) for msg in msgs] 37 | if isinstance(event, GroupMessageEvent): 38 | return await bot.call_api( 39 | "send_group_forward_msg", group_id=event.group_id, messages=messages 40 | ) 41 | elif isinstance(event, PrivateMessageEvent): 42 | return await bot.call_api( 43 | "send_private_forward_msg", user_id=event.user_id, messages=messages 44 | ) 45 | 46 | 47 | async def markdown_temple(text): 48 | markdown = f''' 49 |
 
50 | {text} 51 |
 
52 | ''' 53 | return markdown 54 | 55 | 56 | async def risk_control( 57 | message: Union[list, str], 58 | md_temple=False, 59 | width: int=500, 60 | reply_message=True, 61 | revoke_later=False, 62 | ): 63 | ''' 64 | 为防止风控的函数, is_forward True为发送转发消息 65 | ''' 66 | 67 | from ..aidraw import send_msg_and_revoke 68 | n = 240 69 | new_list = [] 70 | if isinstance(message, list) and len(message) > n: 71 | new_list = [message[i:i + n] for i in range(0, len(message), n)] 72 | else: 73 | new_list.append(message) 74 | 75 | if md_temple: 76 | img_list = UniMessage.text('') 77 | for img in new_list: 78 | msg_list = "".join(img) if isinstance(img, (list, tuple)) else str(img) 79 | markdown = await markdown_temple(msg_list) 80 | img = await md_to_pic(md=markdown, width=width) 81 | img_list += UniMessage.image(raw=img) 82 | if img_list: 83 | r = await img_list.send(reply_to=reply_message) 84 | if revoke_later: 85 | await send_msg_and_revoke(message=None, reply_to=reply_message, r=r) 86 | 87 | else: 88 | txt_msg = UniMessage.text("") 89 | for msg in new_list: 90 | txt_msg += msg 91 | r = await txt_msg.send(reply_to=reply_message) 92 | if revoke_later: 93 | await send_msg_and_revoke(message=None, reply_to=reply_message, r=r) 94 | 95 | # 96 | # async def obv11_forward(event: ObV11MessageEvent): 97 | # 98 | # if is_forward and isinstance(event, QQMessageEvent): 99 | # await send_messages(bot, new_list, is_markdown=md_temple, width=width, reply_message=reply_message) 100 | # elif isinstance(event, ObV11MessageEvent) and is_forward: 101 | # msg_list = ["".join(message[i:i + 10]) for i in range(0, len(message), 10)] 102 | # await send_forward_msg(bot, event, event.sender.nickname, str(event.user_id), msg_list) 103 | # else: 104 | # await send_messages(bot, new_list, is_markdown=md_temple, width=width, reply_message=reply_message) 105 | 106 | # 107 | # # 转发消息或发送文本消息 108 | # if isinstance(message, list): 109 | # if is_forward: 110 | # msg_list = ["".join(message[i:i + 10]) for i in range(0, len(message), 10)] 111 | # try: 112 | # await UniMessage.text("\n".join(msg_list)).send(reply_to=reply_message) 113 | # except: 114 | # msg_list = "".join(message) 115 | # markdown = await markdown_temple(bot, msg_list) 116 | # img = await md_to_pic(md=markdown, width=width) 117 | # await UniMessage.image(raw=img).send(reply_to=reply_message) 118 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/sd_on_command.py: -------------------------------------------------------------------------------- 1 | from re import I 2 | 3 | 4 | from ..config import config, message_type, __SUPPORTED_MESSAGEEVENT__, message_event_type 5 | from ..utils import aidraw_parser 6 | from .sd_extra_api_func import CommandHandler, SdAPI 7 | from ..aidraw import first_handler 8 | 9 | from ..amusement.chatgpt_tagger import llm_prompt 10 | 11 | from nonebot import on_shell_command, logger, Bot 12 | from nonebot.plugin.on import on_regex 13 | from nonebot.rule import ArgumentParser 14 | from nonebot.permission import SUPERUSER 15 | from nonebot.params import T_State, Arg, Matcher, CommandArg 16 | 17 | from argparse import Namespace 18 | from nonebot.params import ShellCommandArgs 19 | 20 | from arclet.alconna import Alconna, Args, Arg, Option 21 | from nonebot_plugin_alconna.uniseg import UniMsg 22 | from nonebot_plugin_alconna import on_alconna 23 | 24 | 25 | from typing import Union, Optional 26 | 27 | superuser = SUPERUSER if config.only_super_user else None 28 | 29 | __NEED__ = ["找图片", ] 30 | 31 | command_handler_instance = CommandHandler() 32 | 33 | on_alconna( 34 | Alconna("模型目录", Args["index", int]["model?", str]["search?", str]), 35 | aliases={"获取模型", "查看模型", "模型列表"}, 36 | priority=5, 37 | block=True, 38 | handlers=[command_handler_instance.get_sd_models] 39 | ) 40 | 41 | on_alconna( 42 | Alconna("查看预设", Args["index", int]["search?", str]), 43 | priority=5, 44 | block=True, 45 | handlers=[command_handler_instance.get_sd_prompt_style] 46 | ) 47 | 48 | on_alconna( 49 | Alconna("更换模型", Args["index", int]["model_index", int]), 50 | priority=1, 51 | block=True, 52 | permission=superuser, 53 | handlers=[command_handler_instance.change_sd_model] 54 | ) 55 | 56 | on_alconna( 57 | "后端", 58 | aliases={"查看后端"}, 59 | priority=1, 60 | block=True, 61 | handlers=[command_handler_instance.view_backend] 62 | ) 63 | 64 | on_alconna( 65 | "采样器", 66 | aliases={"获取采样器"}, 67 | block=True, 68 | handlers=[command_handler_instance.get_sampler] 69 | ) 70 | 71 | on_alconna( 72 | "翻译", 73 | block=True, 74 | handlers=[command_handler_instance.translate] 75 | ) 76 | 77 | on_shell_command( 78 | "随机tag", 79 | parser=aidraw_parser, 80 | priority=5, 81 | block=True, 82 | handlers=[command_handler_instance.random_tags] 83 | ) 84 | 85 | on_alconna( 86 | Alconna("找图片", Args["id_", str]), 87 | block=True, 88 | handlers=[command_handler_instance.find_image] 89 | ) 90 | 91 | on_alconna( 92 | "词频统计", 93 | aliases={"tag统计"}, 94 | block=True, 95 | handlers=[command_handler_instance.word_freq] 96 | ) 97 | 98 | on_alconna( 99 | "运行截图", 100 | aliases={"状态"}, 101 | block=False, 102 | priority=2, 103 | handlers=[command_handler_instance.screen_shot] 104 | ) 105 | 106 | on_alconna( 107 | "审核", 108 | block=True, 109 | handlers=[command_handler_instance.audit] 110 | ) 111 | 112 | on_shell_command( 113 | "再来一张", 114 | parser=aidraw_parser, 115 | priority=5, 116 | handlers=[command_handler_instance.one_more_generate], 117 | block=True 118 | ) 119 | 120 | on_regex( 121 | r'(卸载模型(\d+)?|获取脚本(\d+)?|终止生成(\d+)?|刷新模型(\d+)?)', 122 | flags=I, 123 | block=True, 124 | handlers=[command_handler_instance.another_backend_control] 125 | ) 126 | 127 | on_alconna( 128 | "随机出图", 129 | aliases={"随机模型", "随机画图"}, 130 | block=True, 131 | handlers=[command_handler_instance.random_pic] 132 | ) 133 | 134 | on_alconna( 135 | Alconna("查tag", Args["tag", str]["limit?", int]), 136 | handlers=[command_handler_instance.danbooru], 137 | block=True 138 | ) 139 | 140 | rembg = on_alconna( 141 | "去背景", 142 | aliases={"rembg", "抠图"}, 143 | block=True 144 | ) 145 | 146 | super_res = on_alconna( 147 | "图片修复", 148 | aliases={"图片超分", "超分"}, 149 | block=True 150 | ) 151 | 152 | 153 | more_func_parser, style_parser = ArgumentParser(), ArgumentParser() 154 | more_func_parser.add_argument("-i", "--index", type=int, help="设置索引", dest="index") 155 | more_func_parser.add_argument("-v", "--value", type=str, help="设置值", dest="value") 156 | more_func_parser.add_argument("-s", "--search", type=str, help="搜索设置名", dest="search") 157 | more_func_parser.add_argument("-bs", "--backend_site", type=int, help="后端地址", dest="backend_site") 158 | style_parser.add_argument("tags", type=str, nargs="*", help="正面提示词") 159 | style_parser.add_argument("-f", "--find", type=str, help="寻找预设", dest="find_style_name") 160 | style_parser.add_argument("-n", "--name", type=str, help="预设名", dest="style_name") 161 | style_parser.add_argument("-u", type=str, help="负面提示词", dest="ntags") 162 | style_parser.add_argument("-d", type=str, help="删除指定预设", dest="delete") 163 | 164 | 165 | on_shell_command( 166 | "设置", 167 | parser=more_func_parser, 168 | priority=5, 169 | block=True, 170 | handlers=[command_handler_instance.set_config] 171 | ) 172 | 173 | on_shell_command( 174 | "预设", 175 | parser=style_parser, 176 | priority=5, 177 | block=True, 178 | handlers=[command_handler_instance.style] 179 | ) 180 | 181 | read_png_info = on_alconna( 182 | "读图", 183 | aliases={"读png", "读PNG"}, 184 | block=True 185 | ) 186 | 187 | on_shell_command( 188 | ".aidraw", 189 | aliases=config.novelai_command_start, 190 | parser=aidraw_parser, 191 | priority=5, 192 | handlers=[first_handler], 193 | block=True 194 | ) 195 | 196 | nai = on_shell_command( 197 | "nai", 198 | parser=aidraw_parser, 199 | priority=5, 200 | block=True 201 | ) 202 | 203 | 204 | @nai.handle() 205 | async def _(bot: Bot,event: __SUPPORTED_MESSAGEEVENT__, args: Namespace = ShellCommandArgs()): 206 | 207 | args.backend_index = 0 208 | 209 | await first_handler(bot, event, args) 210 | 211 | mj = on_shell_command( 212 | "mj", 213 | parser=aidraw_parser, 214 | priority=5, 215 | block=True 216 | ) 217 | 218 | 219 | @mj.handle() 220 | async def _(bot: Bot, event: __SUPPORTED_MESSAGEEVENT__, args: Namespace = ShellCommandArgs()): 221 | 222 | args.backend_index = 1 223 | 224 | await first_handler(bot, event, args) 225 | 226 | 227 | # on_alconna( 228 | # "获取链接", 229 | # block=True, 230 | # priority=5, 231 | # handlers=[command_handler_instance.get_url] 232 | # ) 233 | 234 | 235 | @super_res.handle() 236 | async def pic_fix(state: T_State, super_res: message_type[1] = CommandArg()): 237 | if super_res: 238 | state['super_res'] = super_res 239 | pass 240 | 241 | 242 | @super_res.got("super_res", "请发送你要修复的图片") 243 | async def super_res_obv11_handler(matcher: Matcher, msg: message_type[1] = Arg("super_res")): 244 | 245 | if msg[0].type == "image": 246 | logger.info("开始超分") 247 | await command_handler_instance.super_res(matcher, msg=msg) 248 | 249 | else: 250 | await super_res.reject("请重新发送图片") 251 | 252 | 253 | @super_res.handle() 254 | async def _(matcher: Matcher, event: message_event_type[0]): 255 | 256 | url = await SdAPI.get_qq_img_url(event) 257 | await command_handler_instance.super_res(matcher, url) 258 | 259 | 260 | # @rembg.handle() 261 | # async def rm_bg(state: T_State, rmbg: message_type[1] = CommandArg()): 262 | # if rmbg: 263 | # state['rmbg'] = rmbg 264 | # pass 265 | # 266 | # 267 | # @rembg.got("rmbg", "请发送你要去背景的图片") 268 | # async def _(event: message_event_type[1], bot: Bot, msg: message_type[1] = Arg("rmbg")): 269 | # 270 | # if msg[0].type == "image": 271 | # await command_handler_instance.remove_bg(event, bot, msg) 272 | # 273 | # else: 274 | # await rembg.reject("请重新发送图片") 275 | 276 | 277 | @read_png_info.handle() 278 | async def __(state: T_State, png: message_type[1] = CommandArg()): 279 | if png: 280 | state['png'] = png 281 | pass 282 | 283 | 284 | @read_png_info.got("png", "请发送你要读取的图片,请注意,请发送原图") 285 | async def __(event: message_event_type[1], bot: Bot, matcher: Matcher): 286 | await command_handler_instance.get_png_info(event, bot, matcher) 287 | 288 | # 289 | # @control_net.handle() 290 | # async def c_net(state: T_State, args: Namespace = ShellCommandArgs(), net: Message = CommandArg()): 291 | # state["args"] = args 292 | # if net: 293 | # if len(net) > 1: 294 | # state["tag"] = net 295 | # state["net"] = net 296 | # elif net[0].type == "image": 297 | # state["net"] = net 298 | # state["tag"] = net 299 | # elif len(net) == 1 and not net[0].type == "image": 300 | # state["tag"] = net 301 | # else: 302 | # state["tag"] = net 303 | # 304 | # 305 | # @control_net.got('tag', "请输入绘画的关键词") 306 | # async def __(): 307 | # pass 308 | # 309 | # 310 | # @control_net.got("net", "你的图图呢？") 311 | # async def _( 312 | # event: __SUPPORTED_MESSAGEEVENT__, 313 | # bot: __SUPPORTED_BOT__, 314 | # args: Namespace = Arg("args"), 315 | # msg: __SUPPORTED_MESSAGE__ = Arg("net") 316 | # ): 317 | # for data in msg: 318 | # if data.data.get("url"): 319 | # args.pic_url = data.data.get("url") 320 | # args.control_net = True 321 | # await bot.send(event=event, message=f"control_net以图生图中") 322 | # await aidraw_get(bot, event, args) 323 | # 324 | 325 | 326 | on_shell_command( 327 | "帮我画", 328 | aliases={"帮我画画"}, 329 | parser=aidraw_parser, 330 | priority=5, 331 | block=True, 332 | handlers=[llm_prompt] 333 | ) -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/extension/translation.py: -------------------------------------------------------------------------------- 1 | import aiohttp 2 | from ..config import config 3 | from nonebot.log import logger 4 | import traceback 5 | import json 6 | 7 | 8 | async def translate(text: str, to: str): 9 | # en,jp,zh 10 | is_translate = False 11 | for i in range(config.novelai_retry): 12 | try: 13 | result = ( 14 | await translate_baidu(text, to) or 15 | await translate_api(text, to) or 16 | await translate_deepl(text, to) or 17 | await translate_bing(text, to) or 18 | await translate_youdao(text, to) or 19 | await translate_google_proxy(text, to) 20 | ) 21 | except: 22 | logger.warning(traceback.print_exc()) 23 | logger.info(f"未找到可用的翻译引擎！,第{i + 1}次重试") 24 | if i == config.novelai_retry: 25 | logger.error(f"重试{i}次后依然失败") 26 | is_translate = False 27 | else: 28 | is_translate = True 29 | return text if result is None else result 30 | if is_translate == False: 31 | return text 32 | 33 | 34 | async def translate_bing(text: str, to: str): 35 | """ 36 | en,jp,zh_Hans 37 | """ 38 | try: 39 | if to == "zh": 40 | to = "zh-Hans" 41 | key = config.bing_key 42 | header = { 43 | "Ocp-Apim-Subscription-Key": key, 44 | "Content-Type": "application/json", 45 | } 46 | async with aiohttp.ClientSession() as session: 47 | body = [{'text': text}] 48 | params = { 49 | "api-version": "3.0", 50 | "to": to, 51 | "profanityAction": "Deleted", 52 | } 53 | async with session.post('https://api.cognitive.microsofttranslator.com/translate', json=body, params=params, 54 | headers=header) as resp: 55 | if resp.status != 200: 56 | logger.error(f"Bing翻译接口调用失败,错误代码{resp.status},{await resp.text()}") 57 | jsonresult = await resp.json() 58 | result = jsonresult[0]["translations"][0]["text"] 59 | logger.debug(f"Bing翻译启动，获取到{text},翻译后{result}") 60 | return result 61 | except: 62 | return None 63 | 64 | 65 | async def translate_deepl(text: str, to: str): 66 | """ 67 | EN,JA,ZH 68 | """ 69 | try: 70 | to = to.upper() 71 | key = config.deepl_key 72 | headers = { 73 | "Authorization": f"DeepL-Auth-Key {key}", 74 | "Content-Type": "application/json" 75 | } 76 | data = { 77 | "text": [text], 78 | "target_lang": to 79 | } 80 | 81 | async with aiohttp.ClientSession() as session: 82 | async with session.post('https://api.deepl.com/v2/translate', headers=headers, json=data) as resp: 83 | if resp.status != 200: 84 | logger.error(f"DeepL翻译接口调用失败, 错误代码: {resp.status}, {await resp.text()}") 85 | return None 86 | json_result = await resp.json() 87 | result = json_result["translations"][0]["text"] 88 | logger.debug(f"DeepL翻译启动，获取到{text}, 翻译后: {result}") 89 | return result 90 | except Exception as e: 91 | logger.error(f"翻译请求失败: {e}") 92 | return None 93 | 94 | 95 | async def translate_youdao(input: str, type: str): 96 | """ 97 | 默认auto 98 | ZH_CH2EN 中译英 99 | EN2ZH_CN 英译汉 100 | """ 101 | try: 102 | if type == "zh": 103 | type = "EN2ZH_CN" 104 | elif type == "en": 105 | type = "ZH_CH2EN" 106 | async with aiohttp.ClientSession() as session: 107 | data = { 108 | 'doctype': 'json', 109 | 'type': type, 110 | 'i': input 111 | } 112 | async with session.post("http://fanyi.youdao.com/translate", data=data) as resp: 113 | if resp.status != 200: 114 | logger.error(f"有道翻译接口调用失败,错误代码{resp.status},{await resp.text()}") 115 | result = await resp.json() 116 | result = result["translateResult"][0][0]["tgt"] 117 | logger.debug(f"有道翻译启动，获取到{input},翻译后{result}") 118 | return result 119 | except: 120 | return None 121 | 122 | 123 | async def translate_google_proxy(input: str, to: str): 124 | """ 125 | en,jp,zh 需要来源语言 126 | """ 127 | try: 128 | if to == "zh": 129 | from_ = "en" 130 | else: 131 | from_ = "zh" 132 | async with aiohttp.ClientSession() as session: 133 | data = {"data": [input, from_, to]} 134 | async with session.post("https://mikeee-gradio-gtr.hf.space/api/predict", json=data, 135 | proxy=config.proxy_site) as resp: 136 | if resp.status != 200: 137 | logger.error(f"谷歌代理翻译接口调用失败,错误代码{resp.status},{await resp.text()}") 138 | result = await resp.json() 139 | result = result["data"][0] 140 | logger.debug(f"谷歌代理翻译启动，获取到{input},翻译后{result}") 141 | return result 142 | except: 143 | return None 144 | 145 | 146 | async def get_access_token(): 147 | """ 148 | 百度云access_token 149 | 使用 AK，SK 生成鉴权签名（Access Token） 150 | :return: access_token，或是None(如果错误) 151 | """ 152 | url = "https://aip.baidubce.com/oauth/2.0/token" 153 | params = {"grant_type": "client_credentials", 154 | "client_id": config.baidu_translate_key["API_KEY"], 155 | "client_secret": config.baidu_translate_key["SECRET_KEY"]} 156 | async with aiohttp.ClientSession() as session: 157 | async with session.post(url=url, params=params) as resp: 158 | json = await resp.json() 159 | return json["access_token"] 160 | 161 | 162 | async def translate_baidu(input: str, to: str): 163 | try: 164 | token = await get_access_token() 165 | url = 'https://aip.baidubce.com/rpc/2.0/mt/texttrans/v1?access_token=' + token 166 | headers = {'Content-Type': 'application/json'} 167 | payload = {'q': input, 'from': 'zh', 'to': to} 168 | async with aiohttp.ClientSession(headers=headers) as session: 169 | async with session.post(url=url, json=payload) as resp: 170 | if resp.status != 200: 171 | logger.error(f"百度翻译接口错误, 错误代码{resp.status},{await resp.text()}") 172 | json_ = await resp.json() 173 | result = json_["result"]["trans_result"][0]["dst"] 174 | return result 175 | except: 176 | return None 177 | 178 | 179 | async def translate_api(input: str, to: str): 180 | try: 181 | url = f"http://{config.trans_api}/translate" 182 | headers = {"Content-Type": "application/json"} 183 | payload = {"text": input, "to": to} 184 | async with aiohttp.ClientSession( 185 | headers=headers, 186 | timeout=aiohttp.ClientTimeout(total=3) 187 | ) as session: 188 | async with session.post(url=url, data=json.dumps(payload)) as resp: 189 | if resp.status != 200: 190 | logger.error(f"自建翻译接口错误, 错误代码{resp.status},{await resp.text()}") 191 | return None 192 | else: 193 | logger.info("自建api翻译成功") 194 | json_ = await resp.json() 195 | result = json_["translated_text"] 196 | return result 197 | except: 198 | logger.warning(traceback.print_exc()) 199 | return None -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/fifo.py: -------------------------------------------------------------------------------- 1 | from collections import deque 2 | 3 | 4 | class FIFO(): 5 | gennerating: dict={} 6 | queue: deque = deque([]) 7 | 8 | @classmethod 9 | def len(cls): 10 | return len(cls.queue)+1 if cls.gennerating else len(cls.queue) 11 | 12 | @classmethod 13 | async def add(cls, aidraw): 14 | cls.queue.append(aidraw) 15 | await cls.gennerate() 16 | 17 | @classmethod 18 | async def gennerate(cls): 19 | pass 20 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/locales/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiaoDaiaChan/nonebot-plugin-stable-diffusion-diao/08a29d51968ae15205b317c5261f357d31c85e03/nonebot_plugin_stable_diffusion_diao/locales/__init__.py 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-------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/manage.py: -------------------------------------------------------------------------------- 1 | from nonebot.adapters.onebot.v11 import GROUP_ADMIN, GROUP_OWNER 2 | from nonebot.adapters.onebot.v11 import GroupMessageEvent, Bot 3 | from nonebot.permission import SUPERUSER 4 | from nonebot.params import RegexGroup 5 | from nonebot import on_regex 6 | from nonebot.log import logger 7 | from .config import config 8 | from .extension.safe_method import risk_control 9 | on = on_regex(f"(?:^\.aidraw|^绘画|^aidraw)[ ]*(on$|off$|开启$|关闭$)", 10 | priority=4, block=True) 11 | set = on_regex( 12 | "(?:^\.aidraw set|^绘画设置|^aidraw set)[ ]*([a-z]*)[ ]*(.*)", priority=4, block=True) 13 | 14 | 15 | @set.handle() 16 | async def set_(bot: Bot, event: GroupMessageEvent, args= RegexGroup()): 17 | print(args) 18 | if await SUPERUSER(bot, event): 19 | if args[0] and args[1]: 20 | key, value = args 21 | await set.finish(f"设置群聊{key}为{value}完成" if await config.set_value(event.group_id, key, 22 | value) else f"不正确的赋值") 23 | else: 24 | group_config = await config.get_groupconfig(event.group_id) 25 | message = "当前群的设置为\t\n" 26 | for i, v in group_config.items(): 27 | message += f"{i}:{v}\t\n" 28 | await risk_control(message, True) 29 | else: 30 | await set.send(f"权限不足！") 31 | 32 | 33 | @on.handle() 34 | async def on_(bot: Bot, event: GroupMessageEvent, args=RegexGroup()): 35 | if await GROUP_ADMIN(bot, event) or await GROUP_OWNER(bot, event) or await SUPERUSER(bot, event): 36 | if args[0] in ["on", "开启"]: 37 | set = True 38 | else: 39 | set = False 40 | result = await config.set_enable(event.group_id, set) 41 | logger.info(result) 42 | await on.finish(result) 43 | else: 44 | await on.send(f"权限不足！") 45 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/aidraw_exceptions.py: -------------------------------------------------------------------------------- 1 | __all__ = ("NoAvailableBackendError", "PostingFailedError", "AIDrawExceptions") 2 | 3 | 4 | class AIDrawExceptions(BaseException): 5 | 6 | class NoAvailableBackendError(Exception): 7 | def __init__(self, message="没有可用后端"): 8 | super().__init__(message) 9 | 10 | class PostingFailedError(Exception): 11 | def __init__(self, message="Post服务器试出现错误"): 12 | super().__init__(message) 13 | 14 | 15 | 16 | 17 | 18 | 19 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/benchmark.py: -------------------------------------------------------------------------------- 1 | from .load_balance import get_vram 2 | 3 | 4 | 5 | class backend(): 6 | 7 | def __init__( 8 | self, 9 | backend_site 10 | ) -> None: 11 | self.backend_site = backend_site 12 | self.gpu_model = "" 13 | self.gpu_vram = [] 14 | 15 | async def get_model_and_vram(self): 16 | self.gpu_vram = await get_vram(self.backend_site, True) 17 | 18 | 19 | 20 | 21 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/data.py: -------------------------------------------------------------------------------- 1 | from ..config import config 2 | # 基础优化tag 3 | basetag = "masterpiece,best quality," 4 | 5 | # 基础排除tag 6 | lowQuality = "easynegative,badhandv4," 7 | 8 | # 屏蔽词 9 | # htags = "nsfw|nude|naked|nipple|blood|censored|vagina|gag|gokkun|hairjob|tentacle|oral|fellatio|areolae|lactation|paizuri|piercing|sex|footjob|masturbation|hips|penis|testicles|ejaculation|cum|tamakeri|pussy|pubic|clitoris|mons|cameltoe|grinding|crotch|cervix|cunnilingus|insertion|penetration|fisting|fingering|peeing|ass|buttjob|spanked|anus|anal|anilingus|enema|x-ray|wakamezake|humiliation|tally|futa|incest|twincest|pegging|femdom|ganguro|bestiality|gangbang|3P|tribadism|molestation|voyeurism|exhibitionism|rape|spitroast|cock|69|doggystyle|missionary|virgin|shibari|bondage|bdsm|rope|pillory|stocks|bound|hogtie|frogtie|suspension|anal|dildo|vibrator|hitachi|nyotaimori|vore|amputee|transformation|bloody" 10 | htags = r"\b(nsfw|no\s*clothes|mucus|micturition|urethra|Urinary|Urination|climax|n\s*o\s*c\s*l\s*o\s*t\s*h\s*e\s*s|n[ -]?o[ -]?c[ -]?l[ -]?o[ -]?t[ -]?h[ -]?e[ -]?s|nudity|nude|naked|nipple|blood|censored|vagina|gag|gokkun|hairjob|tentacle|oral|fellatio|areolae|lactation|paizuri|piercing|sex|footjob|masturbation|hips|penis|testicles|ejaculation|cum|tamakeri|pussy|pubic|clitoris|mons|cameltoe|grinding|crotch|cervix|cunnilingus|insertion|penetration|fisting|fingering|peeing|buttjob|spanked|anus|anal|anilingus|enema|x-ray|wakamezake|humiliation|tally|futa|incest|twincest|pegging|porn|Orgasm|womb|femdom|ganguro|bestiality|gangbang|3P|tribadism|molestation|voyeurism|exhibitionism|rape|spitroast|cock|69|doggystyle|missionary|virgin|shibari|bondage|bdsm|rope|pillory|stocks|bound|hogtie|frogtie|suspension|anal|dildo|vibrator|hitachi|nyotaimori|vore|amputee|transformation|bloody|pornhub)\b" 11 | 12 | shapemap = { 13 | "square": [640, 640], 14 | "s": [640, 640], 15 | "方": [640, 640], 16 | "portrait": [512, 768], 17 | "p": [512, 768], 18 | "高": [512, 768], 19 | "landscape": [768, 512], 20 | "l": [768, 512], 21 | "宽": [768, 512], 22 | "uw": [896, 448], 23 | "uwp": [448, 896] 24 | } 25 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/gradio_.py: -------------------------------------------------------------------------------- 1 | from gradio_client import Client, file 2 | import base64 3 | import os 4 | from datetime import datetime 5 | from nonebot.log import logger 6 | 7 | pu_site = "http://192.168.5.206:7862/" 8 | 9 | class paints_undo: 10 | 11 | def __init__( 12 | self, 13 | fifo = None, 14 | input_image: str = None, 15 | tags: str = None, 16 | width: int = None, 17 | height: int = None, 18 | seed: int = None, 19 | scale: int = None, 20 | ): 21 | self.input_img = fifo.result_img 22 | self.key_frames = None 23 | 24 | self.fifo = fifo 25 | self.tags: str = tags or fifo.tags 26 | self.width = width or fifo.width 27 | self.height= height or fifo.height 28 | self.seed = seed or fifo.seed 29 | self.scale = scale or fifo.scale 30 | 31 | self.timestamp = datetime.now().strftime("%Y%m%d%H%M%S") 32 | self.image_path = f"./image_{self.timestamp}.png" 33 | self.write_img() 34 | 35 | self.client = Client(pu_site) 36 | 37 | def write_img(self): 38 | img_data = base64.b64decode(self.input_img) 39 | # 2. 保存二进制图像到本地并获取它的路径 40 | with open(self.image_path, "wb") as f: 41 | f.write(img_data) 42 | 43 | 44 | # 使用完毕后删除二进制图像 45 | # if os.path.exists(image_path): 46 | # os.remove(image_path) 47 | # print(f"Image deleted: {image_path}") 48 | # else: 49 | # print("Image not found!") 50 | 51 | 52 | # def get_tag(): 53 | # client = Client(pu_site) 54 | # result = client.predict( 55 | # x=file(), 56 | # api_name="/interrogator_process" 57 | # ) 58 | # print(result) 59 | 60 | def get_key_frame(self): 61 | 62 | logger.info("正在生成关键帧...") 63 | 64 | result = self.client.predict( 65 | input_fg=file(self.image_path), 66 | prompt=self.tags, 67 | input_undo_steps=[400,600,800,900,950,999], 68 | image_width=self.width, 69 | image_height=self.height, 70 | seed=self.seed, 71 | steps=12, 72 | n_prompt="lowres, bad anatomy, bad hands, cropped, worst quality", 73 | cfg=3, 74 | api_name="/process" 75 | ) 76 | 77 | self.key_frames = result 78 | 79 | def generate_video(self): 80 | 81 | logger.info("正在生成视频...") 82 | 83 | if os.path.exists(self.image_path): 84 | os.remove(self.image_path) 85 | 86 | result = self.client.predict( 87 | keyframes=self.key_frames, 88 | prompt=self.tags, 89 | steps=12, 90 | cfg=self.scale, 91 | fps=4, 92 | seed=self.seed, 93 | api_name="/process_video" 94 | ) 95 | 96 | return result[0]['video'] 97 | 98 | def process(self): 99 | self.get_key_frame() 100 | video_path = self.generate_video() 101 | return video_path 102 | 103 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/load_balance.py: -------------------------------------------------------------------------------- 1 | import aiohttp 2 | import asyncio 3 | import random 4 | from nonebot import logger 5 | 6 | from ..config import config, redis_client 7 | import time 8 | from tqdm import tqdm 9 | 10 | async def get_progress(url): 11 | api_url = "http://" + url + "/sdapi/v1/progress" 12 | vram_usage, resp_code2 = await get_vram(url, True) 13 | async with aiohttp.ClientSession() as session: 14 | async with session.get(url=api_url) as resp: 15 | resp_json = await resp.json() 16 | return resp_json, resp.status, url, resp_code2, vram_usage 17 | 18 | 19 | async def get_vram(ava_url, get_code=False): 20 | get_mem = "http://" + ava_url + "/sdapi/v1/memory" 21 | try: 22 | async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=2)) as session1: 23 | async with session1.get(url=get_mem) as resp2: 24 | all_memory_usage = await resp2.json() 25 | logger.debug(all_memory_usage) 26 | vram_total = int(all_memory_usage["cuda"]["system"]["total"]/1000000) 27 | vram_used = int(all_memory_usage["cuda"]["system"]["used"]/1000000) 28 | vram_usage = f"显存占用{vram_used}M/{vram_total}M" 29 | except Exception: 30 | vram_usage = "" 31 | if get_code: 32 | return vram_usage, resp2.status 33 | return vram_usage 34 | 35 | 36 | async def sd_LoadBalance(fifo=None): 37 | ''' 38 | 分别返回可用后端索引, 后端对应ip和名称(元组), 显存占用 39 | ''' 40 | backend_url_dict = config.novelai_backend_url_dict 41 | reverse_dict = config.reverse_dict 42 | tasks = [] 43 | is_avaiable = 0 44 | status_dict = {} 45 | vram_dict = {} 46 | ava_url = None 47 | n = -1 48 | e = -1 49 | defult_eta = 20 50 | normal_backend = None 51 | idle_backend = [] 52 | 53 | for url in backend_url_dict.values(): 54 | tasks.append(get_progress(url)) 55 | # 获取api队列状态 56 | all_resp = await asyncio.gather(*tasks, return_exceptions=True) 57 | 58 | for resp_tuple in all_resp: 59 | e += 1 60 | if isinstance( 61 | resp_tuple, 62 | (aiohttp.ContentTypeError, 63 | asyncio.exceptions.TimeoutError, 64 | aiohttp.ClientTimeout, 65 | Exception) 66 | ): 67 | print(f"后端{list(config.novelai_backend_url_dict.keys())[e]}掉线") 68 | else: 69 | try: 70 | if resp_tuple[3] in [200, 201]: 71 | n += 1 72 | status_dict[resp_tuple[2]] = resp_tuple[0]["eta_relative"] 73 | normal_backend = (list(status_dict.keys())) 74 | vram_dict[resp_tuple[2]] = resp_tuple[4] 75 | else: 76 | raise RuntimeError 77 | except (RuntimeError, TypeError): 78 | print(f"后端{list(config.novelai_backend_url_dict.keys())[e]}出错") 79 | continue 80 | else: 81 | # 更改判断逻辑 82 | if resp_tuple[0]["progress"] in [0, 0.01, 0.0]: 83 | is_avaiable += 1 84 | idle_backend.append(normal_backend[n]) 85 | else: 86 | pass 87 | total = 100 88 | progress = int(resp_tuple[0]["progress"]*100) 89 | show_str = f"{list(backend_url_dict.keys())[e]}" 90 | show_str = show_str.ljust(25, "-") 91 | with tqdm( 92 | total=total, 93 | desc=show_str + "-->", 94 | bar_format="{l_bar}{bar}|" 95 | ) as pbar: 96 | pbar.update(progress) 97 | 98 | if config.novelai_load_balance_mode == 1: 99 | 100 | if is_avaiable == 0: 101 | logger.info("没有空闲后端") 102 | if len(normal_backend) == 0: 103 | raise fifo.Exceptions.NoAvailableBackendError 104 | backend_total_work_time = {} 105 | avg_time_dict = await fifo.get_backend_avg_work_time() 106 | backend_image = fifo.set_backend_image(get=True) 107 | 108 | for (site, time_), (_, image_count) in zip(avg_time_dict.items(), backend_image.items()): 109 | logger.info(f"后端: {site}, 平均工作时间: {time_}秒, 现在进行中的任务: {image_count-1}") 110 | if site in normal_backend: 111 | # if time_ is not None: 112 | backend_total_work_time[site] = (1 if time_ is None else time_) * int(image_count) 113 | # else: 114 | # backend_total_work_time[site] = 1 115 | 116 | total_time_dict = list(backend_total_work_time.values()) 117 | rev_dict = {} 118 | for key, value in backend_total_work_time.items(): 119 | if value in rev_dict: 120 | # 如果值已存在，则使用元组作为键 121 | rev_dict[(value, key)] = value 122 | else: 123 | rev_dict[value] = key 124 | 125 | sorted_list = sorted(total_time_dict) # 使用 sorted 进行排序 126 | fastest_backend = sorted_list[0] 127 | ava_url = rev_dict[fastest_backend] 128 | logger.info(f"后端{ava_url}最快, 已经选择") 129 | 130 | elif config.novelai_load_balance_mode == 2: 131 | 132 | list_tuple = [] 133 | weight_list = config.novelai_load_balance_weight 134 | backend_url_list = list(config.novelai_backend_url_dict.values()) 135 | weight_list_len = len(weight_list) 136 | backend_url_list_len = len(backend_url_list) 137 | idle_backend_len = len(idle_backend) 138 | 139 | if weight_list_len != backend_url_list_len: 140 | logger.warning("权重列表长度不一致, 请重新配置!") 141 | ava_url = random.choice(normal_backend) 142 | 143 | else: 144 | from ..backend import AIDRAW 145 | if idle_backend_len == 0: 146 | logger.info("所有后端都处于繁忙状态") 147 | for backend, weight in zip(normal_backend, weight_list): 148 | list_tuple.append((backend, weight)) 149 | elif weight_list_len != idle_backend_len: 150 | multi = backend_url_list_len / idle_backend_len 151 | for weight, backend_site in zip(weight_list, backend_url_list): 152 | if backend_site in idle_backend: 153 | list_tuple.append((backend_site, weight*multi)) 154 | else: 155 | for backend, weight in zip(normal_backend, weight_list): 156 | list_tuple.append((backend, weight)) 157 | print(list_tuple) 158 | if fifo: 159 | ava_url = fifo.weighted_choice(list_tuple) 160 | else: 161 | from ..backend.sd import AIDRAW 162 | fifo = AIDRAW() 163 | ava_url = fifo.weighted_choice(list_tuple) 164 | 165 | logger.info(f"已选择后端{reverse_dict[ava_url]}") 166 | ava_url_index = list(backend_url_dict.values()).index(ava_url) 167 | ava_url_tuple = (ava_url, reverse_dict[ava_url], all_resp, len(normal_backend), vram_dict[ava_url]) 168 | return ava_url_index, ava_url_tuple, normal_backend -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/prepocess.py: -------------------------------------------------------------------------------- 1 | import re 2 | from ..extension.translation import translate 3 | from nonebot import logger 4 | from ..config import config 5 | 6 | 7 | async def trans(taglist): 8 | 9 | tag_str = ",".join(taglist) 10 | tagzh = "" 11 | tags_ = "" 12 | for i in taglist: 13 | if re.search('[\u4e00-\u9fa5]', i): 14 | tagzh += f"{i}," 15 | else: 16 | tags_ += f"{i}," 17 | 18 | if tagzh: 19 | 20 | if config.ai_trans: 21 | logger.info("使用AI翻译") 22 | from ..amusement.chatgpt_tagger import get_user_session 23 | to_openai = f"{str(tagzh)}+prompts" 24 | try: 25 | tags_en = await get_user_session(20020204).main(to_openai) 26 | logger.info(f"ai生成prompt: {tags_en}") 27 | except: 28 | tags_en = await translate(tagzh, "en") 29 | else: 30 | tags_en = await translate(tagzh, "en") 31 | 32 | tags_ += tags_en 33 | 34 | return tags_ 35 | 36 | 37 | async def prepocess_tags( 38 | tags: list[str], 39 | translation=True, 40 | only_trans=False, 41 | return_img_url=False 42 | ): 43 | if isinstance(tags, str): 44 | tags = [tags] 45 | if only_trans: 46 | trans_result = await trans(tags) 47 | return trans_result 48 | tags: str = "".join([i+" " for i in tags if isinstance(i,str)]) 49 | # 去除CQ码 50 | if return_img_url: 51 | url_pattern = r'url=(https?://\S+)' 52 | match = re.search(url_pattern, tags) 53 | if match: 54 | url = match.group(1) 55 | return url 56 | else: 57 | return None 58 | else: 59 | tags = re.sub("\[CQ[^\s]*?]", "", tags) 60 | # 检测中文 61 | taglist = tags.split(",") 62 | if not translation: 63 | return ','.join(taglist) 64 | tags = await trans(taglist) 65 | return tags 66 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/save.py: -------------------------------------------------------------------------------- 1 | from ..config import config 2 | from pathlib import Path 3 | from datetime import datetime 4 | from nonebot import logger 5 | 6 | import hashlib 7 | import aiofiles 8 | import time 9 | 10 | path = Path("data/novelai/output").resolve() 11 | 12 | 13 | async def get_hash(img_bytes): 14 | hash = hashlib.md5(img_bytes).hexdigest() 15 | return hash 16 | 17 | 18 | async def save_img(fifo, img_bytes: bytes, extra: str = "unknown", hash=time.time(), user_id=None): 19 | now = datetime.now() 20 | short_time_format = now.strftime("%Y-%m-%d") 21 | 22 | if config.novelai_save: 23 | user_id_path = user_id or fifo.user_id 24 | path_ = path / extra / short_time_format / user_id_path 25 | path_.mkdir(parents=True, exist_ok=True) 26 | hash = await get_hash(img_bytes) 27 | file = (path_ / hash).resolve() 28 | 29 | async with aiofiles.open(str(file) + ".jpg", "wb") as f: 30 | await f.write(img_bytes) 31 | if config.novelai_save == 2 and fifo: 32 | async with aiofiles.open(str(file) + ".txt", "w", encoding="utf-8") as f: 33 | await f.write(repr(fifo)) 34 | 35 | logger.info(f"图片已保存，路径: {str(file)}") 36 | 37 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/utils/tagger.py: -------------------------------------------------------------------------------- 1 | import os 2 | import base64 3 | 4 | from typing import Tuple, List, Dict 5 | from io import BytesIO 6 | from PIL import Image 7 | 8 | from pathlib import Path 9 | from huggingface_hub import hf_hub_download 10 | import pandas as pd 11 | import numpy as np 12 | 13 | use_cpu = True 14 | tf_device_name = '/gpu:0' if not use_cpu else '/cpu:0' 15 | 16 | # https://github.com/toriato/stable-diffusion-webui-wd14-tagger 17 | 18 | 19 | class Interrogator: 20 | @staticmethod 21 | def postprocess_tags( 22 | tags: Dict[str, float], 23 | threshold=0.35, 24 | additional_tags: List[str] = [], 25 | exclude_tags: List[str] = [], 26 | sort_by_alphabetical_order=False, 27 | add_confident_as_weight=False, 28 | replace_underscore=False, 29 | replace_underscore_excludes: List[str] = [], 30 | escape_tag=False 31 | ) -> Dict[str, float]: 32 | for t in additional_tags: 33 | tags[t] = 1.0 34 | 35 | tags = { 36 | t: c 37 | for t, c in sorted( 38 | tags.items(), 39 | key=lambda i: i[0 if sort_by_alphabetical_order else 1], 40 | reverse=not sort_by_alphabetical_order 41 | ) 42 | if ( 43 | c >= threshold 44 | and t not in exclude_tags 45 | ) 46 | } 47 | 48 | new_tags = [] 49 | for tag in list(tags): 50 | new_tag = tag 51 | 52 | if replace_underscore and tag not in replace_underscore_excludes: 53 | new_tag = new_tag.replace('_', ' ') 54 | 55 | if escape_tag: 56 | new_tag = tag.replace('_', '\\_') 57 | 58 | if add_confident_as_weight: 59 | new_tag = f'({new_tag}:{tags[tag]})' 60 | 61 | new_tags.append((new_tag, tags[tag])) 62 | tags = dict(new_tags) 63 | 64 | return tags 65 | 66 | def __init__(self, name: str) -> None: 67 | self.name = name 68 | 69 | def load(self): 70 | raise NotImplementedError() 71 | 72 | def unload(self) -> bool: 73 | unloaded = False 74 | 75 | if hasattr(self, 'model') and self.model is not None: 76 | del self.model 77 | unloaded = True 78 | print(f'Unloaded {self.name}') 79 | 80 | if hasattr(self, 'tags'): 81 | del self.tags 82 | 83 | return unloaded 84 | 85 | def interrogate( 86 | self, 87 | image: Image 88 | ) -> Tuple[ 89 | Dict[str, float], # rating confidents 90 | Dict[str, float] # tag confidents 91 | ]: 92 | raise NotImplementedError() 93 | 94 | 95 | class WaifuDiffusionInterrogator(Interrogator): 96 | def __init__( 97 | self, 98 | name: str, 99 | model_path='model.onnx', 100 | tags_path='selected_tags.csv', 101 | **kwargs 102 | ) -> None: 103 | super().__init__(name) 104 | self.model_path = model_path 105 | self.tags_path = tags_path 106 | self.kwargs = kwargs 107 | 108 | def download(self) -> Tuple[os.PathLike, os.PathLike]: 109 | print(f"Loading {self.name} model file from {self.kwargs['repo_id']}") 110 | 111 | model_path = Path(hf_hub_download( 112 | **self.kwargs, filename=self.model_path)) 113 | tags_path = Path(hf_hub_download( 114 | **self.kwargs, filename=self.tags_path)) 115 | return model_path, tags_path 116 | 117 | def load(self) -> None: 118 | model_path, tags_path = self.download() 119 | 120 | from onnxruntime import InferenceSession 121 | 122 | providers = ['CUDAExecutionProvider', 'CPUExecutionProvider'] 123 | if use_cpu: 124 | providers.pop(0) 125 | 126 | self.model = InferenceSession(str(model_path), providers=providers) 127 | 128 | print(f'Loaded {self.name} model from {model_path}') 129 | 130 | self.tags = pd.read_csv(tags_path) 131 | 132 | def interrogate( 133 | self, 134 | image: Image 135 | ) -> Tuple[ 136 | Dict[str, float], # rating confidents 137 | Dict[str, float] # tag confidents 138 | ]: 139 | if not hasattr(self, 'model') or self.model is None: 140 | self.load() 141 | 142 | _, height, _, _ = self.model.get_inputs()[0].shape 143 | 144 | image = image.convert('RGBA') 145 | new_image = Image.new('RGBA', image.size, 'WHITE') 146 | new_image.paste(image, mask=image) 147 | image = new_image.convert('RGB') 148 | image = np.asarray(image) 149 | 150 | image = image[:, :, ::-1] 151 | 152 | # 模拟`dbimutils`的make_square和smart_resize功能 153 | image = self.make_square(image, height) 154 | image = self.smart_resize(image, height) 155 | image = image.astype(np.float32) 156 | image = np.expand_dims(image, 0) 157 | 158 | input_name = self.model.get_inputs()[0].name 159 | label_name = self.model.get_outputs()[0].name 160 | confidents = self.model.run([label_name], {input_name: image})[0] 161 | 162 | tags = self.tags[:][['name']] 163 | tags['confidents'] = confidents[0] 164 | 165 | ratings = dict(tags[:4].values) 166 | tags = dict(tags[4:].values) 167 | 168 | return ratings, tags 169 | 170 | @staticmethod 171 | def make_square(image, size): 172 | old_size = image.shape[:2] 173 | ratio = float(size) / max(old_size) 174 | new_size = tuple([int(x * ratio) for x in old_size]) 175 | image = Image.fromarray(image) 176 | image = image.resize(new_size, Image.LANCZOS) 177 | new_image = Image.new("RGB", (size, size)) 178 | new_image.paste(image, ((size - new_size[0]) // 2, 179 | (size - new_size[1]) // 2)) 180 | return np.array(new_image) 181 | 182 | @staticmethod 183 | def smart_resize(image, size): 184 | image = Image.fromarray(image) 185 | image = image.resize((size, size), Image.LANCZOS) 186 | return np.array(image) 187 | 188 | 189 | def tagger_main(base64_img, threshold, wd_instance, ntags=[]): 190 | 191 | image_data = base64.b64decode(base64_img) 192 | image = Image.open(BytesIO(image_data)) 193 | 194 | ratings, tags = wd_instance.interrogate(image) 195 | processed_tags = Interrogator.postprocess_tags( 196 | tags=tags, 197 | threshold=threshold, 198 | additional_tags=['best quality', 'highres'], 199 | exclude_tags=['lowres'] + ntags, 200 | sort_by_alphabetical_order=False, 201 | add_confident_as_weight=True, 202 | replace_underscore=True, 203 | replace_underscore_excludes=[], 204 | escape_tag=False 205 | ) 206 | 207 | def process_dict(input_dict): 208 | processed_dict = {} 209 | for key, value in input_dict.items(): 210 | cleaned_key = key.strip('()').split(':')[0] 211 | processed_dict[cleaned_key] = value 212 | return processed_dict 213 | 214 | processed_tags = process_dict(processed_tags) 215 | return ratings | processed_tags 216 | -------------------------------------------------------------------------------- /nonebot_plugin_stable_diffusion_diao/version.py: -------------------------------------------------------------------------------- 1 | import time 2 | from importlib.metadata import version 3 | 4 | from nonebot.log import logger 5 | 6 | from .utils import check_last_version, sendtosuperuser, compare_version 7 | class Version(): 8 | version: str # 当前版本 9 | lastcheck: float = 0 # 上次检查时间 10 | ispushed: bool = True # 是否已经推送 11 | latest: str = "0.0.0" # 最新版本 12 | package = "nonebot-plugin-stable-diffusion-diao" 13 | url = "https://sena-nana.github.io/MutsukiDocs/update/novelai/" 14 | 15 | def __init__(self): 16 | # 初始化当前版本 17 | try: 18 | self.version = version(self.package) 19 | except: 20 | self.version = "0.3.1" 21 | 22 | async def check_update(self): 23 | """检查更新，并推送""" 24 | # 每日检查 25 | if time.time() - self.lastcheck > 80000: 26 | update = await check_last_version(self.package) 27 | # 判断是否重复检查 28 | if await compare_version(self.latest, update): 29 | self.latest = update 30 | # 判断是否是新版本 31 | if await compare_version(self.version, self.latest): 32 | logger.info(self.push_txt()) 33 | self.ispushed = False 34 | else: 35 | logger.info(f"插件检查版本完成，当前版本{self.version}，最新版本{self.latest}") 36 | else: 37 | logger.info(f"插件检查版本完成，当前版本{self.version}，最新版本{self.latest}") 38 | self.lastcheck = time.time() 39 | # 如果没有推送，则启动推送流程 40 | if not self.ispushed: 41 | await sendtosuperuser(self.push_txt()) 42 | self.ispushed = True 43 | 44 | def push_txt(self): 45 | # 获取推送文本 46 | logger.debug(self.__dict__) 47 | return f"插件检测到新版本{self.latest},当前版本{self.version},请使用pip install --upgrade {self.package}命令升级,更新日志：{self.url}" 48 | 49 | version = Version() 50 | -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "mutsukidocs", 3 | "version": "1.0.0", 4 | "description": "MutsukiBot的在线使用说明书", 5 | "license": "MIT", 6 | "type": "module", 7 | "scripts": { 8 | "docs:build": "vuepress build docs", 9 | "docs:clean-dev": "vuepress dev docs --clean-cache", 10 | "docs:dev": "vuepress dev docs" 11 | }, 12 | "devDependencies": { 13 | "@vuepress/client": "2.0.0-beta.51", 14 | "@vuepress/plugin-search": "2.0.0-beta.51", 15 | "vue": "^3.2.29", 16 | "vuepress": "2.0.0-beta.51", 17 | "vuepress-theme-hope": "2.0.0-beta.103" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "nonebot-plugin-stable-diffusion-diao" 3 | version = "0.5.4.9" 4 | description = "主要面对stable-diffusion-webui-api的nonebot2插件" 5 | authors = [ 6 | {name = "DiaoDaiaChan", email = "diaodaiachan@qq.com"}, 7 | ] 8 | dependencies = [ 9 | "aiofiles>=23.1.0", 10 | "aiohttp>=3.8.4", 11 | "nonebot-adapter-onebot>=2.1.3", 12 | "nonebot-adapter-qq", 13 | "nonebot2>=2.0.0b4", 14 | "nonebot-plugin-htmlrender>=0.2.0.3", 15 | "Pillow>=9.5.0", 16 | "qrcode>=7.4.2", 17 | "tqdm", 18 | "redis", 19 | "ruamel.yaml", 20 | "BingImageCreator==0.5.0", 21 | "gradio_client>=0.16.4", 22 | "pydantic", 23 | "stable_diffusion_drawbridge_api>=1.1.3", 24 | "nonebot_plugin_alconna", 25 | "bs4" 26 | ] 27 | 28 | [tool.pdm.dependencies] 29 | tensorflow = {version = "2.9.0", optional = true} 30 | 31 | requires-python = ">=3.8" 32 | readme = "README.md" 33 | license = {text = "MIT"} 34 | 35 | [build-system] 36 | requires = ["pdm-backend"] 37 | build-backend = "pdm.backend" 38 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | aiofiles>=23.1.0 2 | aiohttp>=3.8.4 3 | nonebot-adapter-onebot>=2.1.3 4 | nonebot-adapter-qq 5 | nonebot2>=2.0.0b4 6 | nonebot_plugin_htmlrender>=0.2.0.3 7 | Pillow>=9.5.0 8 | qrcode>=7.4.2 9 | ruamel.yaml 10 | redis~=4.6.0 11 | tqdm~=4.65.0 12 | BingImageCreator~=0.5.0 13 | 14 | requests~=2.31.0 15 | gradio_client~=1.1.0 16 | PyYAML~=6.0 17 | pydantic 18 | stable_diffusion_drawbridge_api>=1.1.3 19 | nonebot_plugin_alconna 20 | bs4 -------------------------------------------------------------------------------- /sd-webui-api/api.py: -------------------------------------------------------------------------------- 1 | import gradio as gr 2 | from fastapi import FastAPI, Body 3 | import os 4 | import aiofiles 5 | import hashlib 6 | import asyncio 7 | from tqdm import tqdm 8 | import re 9 | import time 10 | import requests 11 | import aiohttp 12 | 13 | # 为了使用civitai API下载功能把此文件放到 stable-diffusion-webui\extensions\civitai\scripts\下 14 | proxy_url = None # 你的代理地址, 只支持http, "http://192.168.5.1:11082" 15 | is_progress_bar = True 16 | 17 | 18 | def sha256_hash(data: bytes) -> str: 19 | sha256 = hashlib.sha256() 20 | sha256.update(data) 21 | hash_digest = sha256.digest() 22 | hash_hex = hash_digest.hex() 23 | return hash_hex 24 | 25 | 26 | def download_file_(download_url, proxy_url=None): 27 | filename = "" 28 | content = b"" 29 | resp = requests.get(download_url, proxies={'http': proxy_url, 'https': proxy_url} if proxy_url else None) 30 | status_code = resp.status_code 31 | total_size = int(resp.headers.get('Content-Length', 0)) 32 | 33 | if status_code == 307: 34 | location = resp.headers.get('Location') 35 | print(f"重定向url: {location}") 36 | resp = requests.get(location, proxies={'http': proxy_url, 'https': proxy_url} if proxy_url else None) 37 | content = resp.content 38 | 39 | elif status_code in [200, 201]: 40 | disposition = resp.headers['Content-Disposition'] 41 | match = re.search(r'filename="(.+)"', disposition) 42 | if match: 43 | filename = match.group(1) 44 | print(f"正在下载模型: {filename}") 45 | content = resp.content 46 | print("下载完成") 47 | else: 48 | print(f"下载失败，状态码: {status_code}") 49 | 50 | return content, filename 51 | 52 | 53 | async def download_file(download_url, proxy_url=None) -> bytes: 54 | content = b"" 55 | async with aiohttp.ClientSession() as session: 56 | async with session.get(download_url, proxy=proxy_url) as resp: 57 | status_code = resp.status 58 | total_size = int(resp.headers.get('Content-Length', 0)) 59 | if not is_progress_bar: 60 | print(f"进度条已关闭, 请耐心等待吧, 文件大小{total_size}") 61 | if status_code == 307: 62 | location = resp.headers.get('Location') 63 | print(f"重定向url: {location}") 64 | async with aiohttp.ClientSession() as session: 65 | async with session.get(location, proxy=proxy_url) as resp: 66 | content = await resp.read() 67 | 68 | elif status_code in [200, 201]: 69 | disposition = resp.headers['Content-Disposition'] 70 | match = re.search(r'filename="(.+)"', disposition) 71 | if match: 72 | filename = match.group(1) 73 | print(f"正在下载模型: {filename}") 74 | content = b"" 75 | if is_progress_bar: 76 | with tqdm(total=total_size, 77 | unit="B", 78 | unit_scale=True, 79 | unit_divisor=1024, 80 | desc=filename, 81 | ascii=True 82 | ) as pbar: 83 | while True: 84 | chunk = await resp.content.read(1024) 85 | if not chunk: 86 | break 87 | content += chunk 88 | pbar.update(len(chunk)) 89 | else: 90 | content = await resp.read() 91 | print("下载完成") 92 | else: 93 | print(f"下载失败，状态码: {status_code}") 94 | 95 | return content, filename 96 | 97 | 98 | def civitai(_: gr.Blocks, app: FastAPI): 99 | @app.post("/civitai/download") 100 | async def download( 101 | download_id: str = Body(None, title='model_download_id'), 102 | model_type: str = Body('LORA', title='optional: LORA, TextualInversion, Checkpoint') 103 | ): 104 | if download_id: 105 | download_url = f"https://civitai.com/api/download/models/{download_id}" 106 | if model_type == "LORA": 107 | path_to_model = "models/Lora/nonebot_diao/" 108 | elif model_type == "TextualInversion": 109 | path_to_model = "embeddings/nonebot_diao/" 110 | elif model_type == "Checkpoint": 111 | path_to_model = "models/Stable-diffusion/nonebot_diao/" 112 | if not os.path.exists(path_to_model): 113 | os.makedirs(path_to_model) 114 | 115 | start_time = time.time() 116 | content, file_name = await asyncio.get_event_loop().run_in_executor(None, download_file_, download_url, proxy_url) 117 | # content, file_name = await download_file(download_url, proxy_url) 118 | async with aiofiles.open(path_to_model+file_name, 'wb') as f: 119 | await f.write(content) 120 | spend_time = time.time() - start_time 121 | hash_value = await asyncio.get_event_loop().run_in_executor(None, sha256_hash, content) 122 | return {"hash": hash_value, "spend_time": int(spend_time), "name": file_name} 123 | 124 | 125 | try: 126 | import modules.script_callbacks as script_callbacks 127 | script_callbacks.on_app_started(civitai) 128 | print("雕雕sd-webui-api加载完成!") 129 | except: 130 | pass --------------------------------------------------------------------------------