├── .github └── workflows │ └── publish.yml ├── .gitignore ├── LICENSE ├── README.md ├── __init__.py ├── demo ├── AMINE-OFF.png ├── AMINE-ON.png ├── AMINE2-OFF.png ├── AMINE2-ON_.png ├── IMAGE.png ├── M2M&NO.png ├── NO&Lora.png ├── NO.png ├── OFF&Lora.png ├── OFF.png ├── 微信截图_20241030163715.png └── 微信截图_20241030164321.png ├── pyproject.toml └── shenlanhana.py /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | name: Publish to Comfy registry 2 | on: 3 | workflow_dispatch: 4 | push: 5 | branches: 6 | - main 7 | - master 8 | paths: 9 | - "pyproject.toml" 10 | 11 | permissions: 12 | issues: write 13 | 14 | jobs: 15 | publish-node: 16 | name: Publish Custom Node to registry 17 | runs-on: ubuntu-latest 18 | if: ${{ github.repository_owner == 'tatookan' }} 19 | steps: 20 | - name: Check out code 21 | uses: actions/checkout@v4 22 | with: 23 | submodules: true 24 | - name: Publish Custom Node 25 | uses: Comfy-Org/publish-node-action@v1 26 | with: 27 | ## Add your own personal access token to your Github Repository secrets and reference it here. 28 | personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} 29 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Logs 2 | logs 3 | *.log 4 | npm-debug.log* 5 | yarn-debug.log* 6 | yarn-error.log* 7 | lerna-debug.log* 8 | .pnpm-debug.log* 9 | 10 | # Diagnostic reports (https://nodejs.org/api/report.html) 11 | report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json 12 | 13 | # Runtime data 14 | pids 15 | *.pid 16 | *.seed 17 | *.pid.lock 18 | 19 | # Directory for instrumented libs generated by jscoverage/JSCover 20 | lib-cov 21 | 22 | # Coverage directory used by tools like istanbul 23 | coverage 24 | *.lcov 25 | 26 | # nyc test coverage 27 | .nyc_output 28 | 29 | # Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) 30 | .grunt 31 | 32 | # Bower dependency directory (https://bower.io/) 33 | bower_components 34 | 35 | # node-waf configuration 36 | .lock-wscript 37 | 38 | # Compiled binary addons (https://nodejs.org/api/addons.html) 39 | build/Release 40 | 41 | # Dependency directories 42 | node_modules/ 43 | jspm_packages/ 44 | 45 | # Snowpack dependency directory (https://snowpack.dev/) 46 | web_modules/ 47 | 48 | # TypeScript cache 49 | *.tsbuildinfo 50 | 51 | # Optional npm cache directory 52 | .npm 53 | 54 | # Optional eslint cache 55 | .eslintcache 56 | 57 | # Optional stylelint cache 58 | .stylelintcache 59 | 60 | # Microbundle cache 61 | .rpt2_cache/ 62 | .rts2_cache_cjs/ 63 | .rts2_cache_es/ 64 | .rts2_cache_umd/ 65 | 66 | # Optional REPL history 67 | .node_repl_history 68 | 69 | # Output of 'npm pack' 70 | *.tgz 71 | 72 | # Yarn Integrity file 73 | .yarn-integrity 74 | 75 | # dotenv environment variable files 76 | .env 77 | .env.development.local 78 | .env.test.local 79 | .env.production.local 80 | .env.local 81 | 82 | # parcel-bundler cache (https://parceljs.org/) 83 | .cache 84 | .parcel-cache 85 | 86 | # Next.js build output 87 | .next 88 | out 89 | 90 | # Nuxt.js build / generate output 91 | .nuxt 92 | dist 93 | 94 | # Gatsby files 95 | .cache/ 96 | # Comment in the public line in if your project uses Gatsby and not Next.js 97 | # https://nextjs.org/blog/next-9-1#public-directory-support 98 | # public 99 | 100 | # vuepress build output 101 | .vuepress/dist 102 | 103 | # vuepress v2.x temp and cache directory 104 | .temp 105 | .cache 106 | 107 | # Docusaurus cache and generated files 108 | .docusaurus 109 | 110 | # Serverless directories 111 | .serverless/ 112 | 113 | # FuseBox cache 114 | .fusebox/ 115 | 116 | # DynamoDB Local files 117 | .dynamodb/ 118 | 119 | # TernJS port file 120 | .tern-port 121 | 122 | # Stores VSCode versions used for testing VSCode extensions 123 | .vscode-test 124 | 125 | # yarn v2 126 | .yarn/cache 127 | .yarn/unplugged 128 | .yarn/build-state.yml 129 | .yarn/install-state.gz 130 | .pnp.* 131 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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For these users, they might only need a simple, lightweight, and easy-to-use node. However, I have observed that LyingSigmaSampler does not control the noise mask smoothly enough, or in other words, it cannot control it more precisely. LyingSigmaSampler has a great advantage, of course, other nodes are also great. They can be applied to most models, including SD3.5, and they work well, which is a challenge for users because they have to deal with different noise masks. Therefore, I have added smoothing processing to LyingSigmaSampler in the hope of helping more people. 5 | 6 | AdvancedLyingSigmaSampler is an alternative to the LyingSigmaSampler node, a simple advanced sampler node for dynamically adjusting sigma values during sampling for finer control. The node modifies the model behaviour by applying tuning factors within a specific sigma range to achieve more optimal sampling results. 7 | 8 | ## Demonstration 9 | ### T2M 10 | FLUX: GGUF-Q6K 11 | Sampler: euler 12 | Scheduler: beta 13 | Steps: 20 14 | Denoise: 1 15 | 16 | | ON | OFF | 17 | |---|---| 18 | | Sampler Example | Sampler Example | 19 | 20 | | AMINE-ON | AMINE-OFF | 21 | |---|---| 22 | | Sampler Example | Sampler Example | 23 | 24 | ### M2M 25 | FLUX: GGUF-Q6K 26 | Sampler: euler 27 | Scheduler: beta 28 | Steps: 20 29 | Denoise: 0.5 30 | 31 | | Import Image | Output Image | 32 | |---|---| 33 | | Sampler Example | Sampler Example | 34 | 35 | ## Usage Instructions 36 | Disable Floating Point Rounding: To achieve the best control effect, it is recommended to disable floating point rounding and restart comfui before using this node. 37 | ### Configuration Parameters: 38 | - `dishonesty_factor`: Adjustment factor, default value is -0.1. This is usually a larger value. 39 | - `start_percent`: Percentage at which to start adjusting, default value is 0.1. 40 | - `end_percent`: Percentage at which to stop adjusting, default value is 0.9. 41 | - `smooth_factor`: Smoothing factor, default value is 0.5. 42 | 43 | ## Precautions 44 | Before using this node, ensure that floating point rounding is disabled and comfui is restarted. 45 | The value of the adjustment factor `dishonesty_factor` has a significant impact on the results. It is recommended to start with the default value and gradually adjust it. 46 | 47 | We hope this README is helpful! If you have any questions or suggestions, please feel free to contact us. 48 | 49 | ## Credits 50 | 51 | - Detail Daemon concept and schedule generation function from muerrilla: https://github.com/muerrilla/sd-webui-detail-daemon/ 52 | - ComfyUI sampler implementation and schedule interpolation, as well as Lying Sigma Sampler, by https://github.com/blepping/ 53 | 54 | 55 | # Contact Details 56 | Email: dianyuanan@vip.qq.com 57 | 加入我的粉丝群: 联系微信: Miss-Y-s-Honey, 并注明来意 58 | 查看我的教程频道 [bilibili@深深蓝hana](https://space.bilibili.com/618554?spm_id_from=333.1007.0.0) 59 | 日常作品分享 [douyin@深深蓝](https://www.douyin.com/user/MS4wLjABAAAAJGu7yCfV3XwKoklBX62bivvat3micLxemdDT0FAmdcGfqbuFS3ItsKWKrBt5Hg16?from_tab_name=) 60 | -------------------------------------------------------------------------------- /__init__.py: -------------------------------------------------------------------------------- 1 | from .shenlanhana import AdvancedLyingSigmaSamplerNode 2 | 3 | # 将节点映射到NODE_CLASS_MAPPINGS和NODE_DISPLAY_NAME_MAPPINGS 4 | NODE_CLASS_MAPPINGS = { 5 | "AdvancedLyingSigmaSampler": AdvancedLyingSigmaSamplerNode, 6 | } 7 | 8 | NODE_DISPLAY_NAME_MAPPINGS = { 9 | "AdvancedLyingSigmaSampler": "Advanced Lying Sigma Sampler" 10 | } -------------------------------------------------------------------------------- /demo/AMINE-OFF.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tatookan/comfuinoda-Navyblue/8f6e9c3b7af42b8e72b0fd3539707bde714f8d18/demo/AMINE-OFF.png -------------------------------------------------------------------------------- /demo/AMINE-ON.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tatookan/comfuinoda-Navyblue/8f6e9c3b7af42b8e72b0fd3539707bde714f8d18/demo/AMINE-ON.png -------------------------------------------------------------------------------- /demo/AMINE2-OFF.png: 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https://raw.githubusercontent.com/tatookan/comfuinoda-Navyblue/8f6e9c3b7af42b8e72b0fd3539707bde714f8d18/demo/微信截图_20241030164321.png -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "comfuinoda-Navyblue" 3 | description = "the LyingSigmaSampler is a very useful node, as many users find it difficult to understand complex parameters. For these users, they might only need a simple, lightweight, and easy-to-use node. However, I have observed that LyingSigmaSampler does not control the noise mask smoothly enough, or in other words, it cannot control it more precisely. LyingSigmaSampler has a great advantage, of course, other nodes are also great. They can be applied to most models, including SD3.5, and they work well, which is a challenge for users because they have to deal with different noise masks. Therefore, I have added smoothing processing to LyingSigmaSampler in the hope of helping more people." 4 | version = "1.0.0" 5 | license = {file = "LICENSE"} 6 | 7 | [project.urls] 8 | Repository = "https://github.com/tatookan/comfuinoda-Navyblue" 9 | # Used by Comfy Registry https://comfyregistry.org 10 | 11 | [tool.comfy] 12 | PublisherId = "tatookan" 13 | DisplayName = "comfuinoda-Navyblue" 14 | Icon = "" 15 | -------------------------------------------------------------------------------- /shenlanhana.py: -------------------------------------------------------------------------------- 1 | # Based on the concept from https://github.com/muerrilla/sd-webui-detail-daemon 2 | # Original code courtesy from https://github.com/blepping/ 3 | from __future__ import annotations 4 | 5 | from typing import TYPE_CHECKING 6 | import inspect 7 | 8 | from comfy.samplers import KSAMPLER 9 | import numpy as np 10 | 11 | if TYPE_CHECKING: 12 | import torch 13 | 14 | def advanced_lying_sigma_sampler( 15 | model: object, 16 | x: torch.Tensor, 17 | sigmas: torch.Tensor, 18 | *, 19 | sampler: object, 20 | dishonesty_factor: float, 21 | start_percent: float, 22 | end_percent: float, 23 | smooth_factor: float = 0.5, 24 | **kwargs: dict, 25 | ) -> torch.Tensor: 26 | start_sigma = round(model.inner_model.inner_model.model_sampling.percent_to_sigma(start_percent), 4) 27 | end_sigma = round(model.inner_model.inner_model.model_sampling.percent_to_sigma(end_percent), 4) 28 | 29 | def model_wrapper(x: torch.Tensor, sigma: torch.Tensor, **extra_args: dict): 30 | sigma_float = float(sigma.max().detach().cpu()) 31 | if end_sigma <= sigma_float <= start_sigma: 32 | adjustment = dishonesty_factor * (0.5 * (1 - np.cos(smooth_factor * np.pi))) 33 | sigma = sigma * (1.0 + adjustment) 34 | return model(x, sigma, **extra_args) 35 | 36 | for k in ( 37 | "inner_model", 38 | "sigmas", 39 | ): 40 | if hasattr(model, k): 41 | setattr(model_wrapper, k, getattr(model, k)) 42 | 43 | # Check if denoise_mask is supported by the sampler function 44 | if 'denoise_mask' in inspect.signature(sampler.sampler_function).parameters: 45 | return sampler.sampler_function( 46 | model_wrapper, 47 | x, 48 | sigmas, 49 | denoise_mask=kwargs.get('denoise_mask'), 50 | **kwargs, 51 | **sampler.extra_options, 52 | ) 53 | else: 54 | return sampler.sampler_function( 55 | model_wrapper, 56 | x, 57 | sigmas, 58 | **kwargs, 59 | **sampler.extra_options, 60 | ) 61 | 62 | class AdvancedLyingSigmaSamplerNode: 63 | DESCRIPTION = "高级sigma控制器，使用前最好关闭float rounding并重启comfui,以达到最佳控制效果|For advanced sigma controllers, it is best to turn off float rounding and restart comfui before use for optimal control." 64 | CATEGORY = "sampling/custom_sampling/advanced_samplers" 65 | RETURN_TYPES = ("SAMPLER",) 66 | FUNCTION = "initialize" 67 | 68 | @classmethod 69 | def INPUT_TYPES(cls) -> dict: 70 | return { 71 | "required": { 72 | "sampler": ("SAMPLER",), 73 | "dishonesty_factor": ( 74 | "FLOAT", 75 | { 76 | "default": -0.1, 77 | "min": -1.0, 78 | "max": 1.0, 79 | "step": 0.001, 80 | "tooltip": "默认值-0.1，一般来说这是一个较大值|Default value -0.1, which is generally a larger value." 81 | } 82 | ), 83 | "start_percent": ( 84 | "FLOAT", 85 | { 86 | "default": 0.1, 87 | "min": 0.0, 88 | "max": 1.0, 89 | "step": 0.01, 90 | "tooltip": "bilibili@深深蓝hana." 91 | } 92 | ), 93 | "end_percent": ( 94 | "FLOAT", 95 | { 96 | "default": 0.9, 97 | "min": 0.0, 98 | "max": 1.0, 99 | "step": 0.01, 100 | "tooltip": "bilibili@深深蓝hana." 101 | } 102 | ), 103 | "smooth_factor": ( 104 | "FLOAT", 105 | { 106 | "default": 0.5, 107 | "min": 0.0, 108 | "max": 1.0, 109 | "step": 0.01, 110 | "tooltip": "bilibili@深深蓝hana." 111 | } 112 | ), 113 | } 114 | } 115 | 116 | @classmethod 117 | def initialize( 118 | cls, 119 | sampler: object, 120 | dishonesty_factor: float, 121 | start_percent: float, 122 | end_percent: float, 123 | smooth_factor: float, 124 | ) -> tuple: 125 | return ( 126 | KSAMPLER( 127 | advanced_lying_sigma_sampler, 128 | extra_options={ 129 | "sampler": sampler, 130 | "dishonesty_factor": dishonesty_factor, 131 | "start_percent": start_percent, 132 | "end_percent": end_percent, 133 | "smooth_factor": smooth_factor, 134 | }, 135 | ), 136 | ) 137 | 138 | NODE_CLASS_MAPPINGS = { 139 | "AdvancedLyingSigmaSampler": AdvancedLyingSigmaSamplerNode, 140 | } 141 | NODE_DISPLAY_NAME_MAPPINGS = { 142 | "AdvancedLyingSigmaSampler": "Advanced Lying Sigma Sampler" 143 | } 144 | --------------------------------------------------------------------------------