├── sd-vae.json
├── samples
├── ProjectorzGen_Sample.png
├── ProjectorzInpaint_Sample.png
├── ProjectorzInpaint_Sample.json
└── ProjectorzGen_Sample.json
├── __init__.py
├── upscalers.json
├── sd-models.json
├── pyproject.toml
├── sd-vae_sample.json
├── .github
└── workflows
│ └── publish.yml
├── ws.py
├── controlnet_model_list.json
├── README.md
├── controlnet_module_list.json
├── upscalers_sample.json
├── ws_manager.py
├── .gitignore
├── web
└── StableProjectorzBridge.js
├── nodes.py
├── samplers.json
├── samplers_sample.json
├── apis.py
├── options.json
├── sysinfo.json
└── sd-models_sample.json
/sd-vae.json:
--------------------------------------------------------------------------------
1 | [{"model_name": "Configure In ComfyUI", "filename": "Dummy File Name"}]
--------------------------------------------------------------------------------
/samples/ProjectorzGen_Sample.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/IgorAherne/ComfyUI-StableProjectorzBridge/HEAD/samples/ProjectorzGen_Sample.png
--------------------------------------------------------------------------------
/samples/ProjectorzInpaint_Sample.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/IgorAherne/ComfyUI-StableProjectorzBridge/HEAD/samples/ProjectorzInpaint_Sample.png
--------------------------------------------------------------------------------
/__init__.py:
--------------------------------------------------------------------------------
1 | from . import apis
2 | from . import ws
3 | from .nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
4 | WEB_DIRECTORY = 'web'
5 | __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY']
6 |
--------------------------------------------------------------------------------
/upscalers.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "name": "Configure In ComfyUI",
4 | "model_name": "Configure In ComfyUI",
5 | "model_path": "Dummy Model Path",
6 | "model_url": null,
7 | "scale": 4
8 | }
9 | ]
--------------------------------------------------------------------------------
/sd-models.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "title": "Dummy Title",
4 | "model_name": "Configure In ComfyUI",
5 | "hash": null,
6 | "sha256": null,
7 | "filename": "Dummy File Name",
8 | "config": "Dummy Config"
9 | }
10 | ]
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
1 | [project]
2 | name = "comfyui-stableprojectorzbridge"
3 | description = "This custom nodes enables Stable Projectorz to work with ComfyUI Directly."
4 | version = "1.0.5"
5 | license = "LICENSE"
6 |
7 | [project.urls]
8 | Repository = "https://github.com/tianlang0704/ComfyUI-StableProjectorzBridge"
9 | # Used by Comfy Registry https://comfyregistry.org
10 |
11 | [tool.comfy]
12 | PublisherId = "tianlang0704"
13 | DisplayName = "ComfyUI-StableProjectorzBridge"
14 | Icon = ""
15 |
--------------------------------------------------------------------------------
/sd-vae_sample.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "model_name": "Anything-V3.0.vae.pt",
4 | "filename": "D:\\Projects\\AI\\0_Models\\2_Graphic\\VAE\\Anything-V3.0.vae.pt"
5 | },
6 | {
7 | "model_name": "blessed-fix.vae.pt",
8 | "filename": "D:\\Projects\\AI\\0_Models\\2_Graphic\\VAE\\blessed-fix.vae.pt"
9 | },
10 | {
11 | "model_name": "blessed2.vae.pt",
12 | "filename": "D:\\Projects\\AI\\0_Models\\2_Graphic\\VAE\\blessed2.vae.pt"
13 | },
14 | {
15 | "model_name": "orangemix.vae.pt",
16 | "filename": "D:\\Projects\\AI\\0_Models\\2_Graphic\\VAE\\orangemix.vae.pt"
17 | }
18 | ]
--------------------------------------------------------------------------------
/.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 | jobs:
12 | publish-node:
13 | name: Publish Custom Node to registry
14 | runs-on: ubuntu-latest
15 | steps:
16 | - name: Check out code
17 | uses: actions/checkout@v4
18 | - name: Publish Custom Node
19 | uses: Comfy-Org/publish-node-action@main
20 | with:
21 | ## Add your own personal access token to your Github Repository secrets and reference it here.
22 | personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
23 |
--------------------------------------------------------------------------------
/ws.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | import json
3 | from server import PromptServer
4 | from aiohttp import WSMsgType, web
5 | from .ws_manager import WSCallsManager
6 |
7 | ws_list = []
8 |
9 | @PromptServer.instance.routes.get('/A1111/v1/init_client')
10 | async def init_client_handler(request):
11 | ws = WSCallsManager()
12 | await ws.prepare_request(request)
13 | ws_list.append(ws)
14 | await ws.message_loop()
15 | ws_list.remove(ws)
16 | return web.Response()
17 |
18 | async def run_prompt(random_id, json_data):
19 | if len(ws_list) <= 0:
20 | return
21 | for ws in ws_list:
22 | await ws.call("run_prompt", {'random_id': random_id, 'json_data': json_data}, timeout = 600)
23 | queue = PromptServer.instance.prompt_queue
24 | if not queue:
25 | return
26 | count = queue.get_tasks_remaining()
27 | while count > 0:
28 | await asyncio.sleep(1)
29 | count = queue.get_tasks_remaining()
30 |
31 |
32 |
33 |
--------------------------------------------------------------------------------
/controlnet_model_list.json:
--------------------------------------------------------------------------------
1 | {
2 | "model_list": [
3 | "None",
4 | "control_canny-fp16 [e3fe7712]",
5 | "control_depth-fp16 [400750f6]",
6 | "control_hed-fp16 [13fee50b]",
7 | "control_lora_rank128_v11f1e_sd15_tile_fp16 [d258993f]",
8 | "control_mediapipe_face_sd15_v2 [9c7784a9]",
9 | "control_mlsd-fp16 [e3705cfa]",
10 | "control_normal-fp16 [63f96f7c]",
11 | "control_openpose-fp16 [9ca67cc5]",
12 | "control_scribble-fp16 [c508311e]",
13 | "control_seg-fp16 [b9c1cc12]",
14 | "control_v11p_sd15_inpaint_fp16 [be8bc0ed]",
15 | "control_v2p_sd15_mediapipe_face [9c7784a9]",
16 | "controlnet11Models_animeline [c58f338b]",
17 | "controlnet11Models_canny [b18e0966]",
18 | "controlnet11Models_depth [4b72d323]",
19 | "controlnet11Models_inpaint [be8bc0ed]",
20 | "controlnet11Models_lineart [5c23b17d]",
21 | "controlnet11Models_mlsd [77b5ad24]",
22 | "controlnet11Models_normal [592a19d8]",
23 | "controlnet11Models_openpose [73c2b67d]",
24 | "controlnet11Models_pix2pix [fabb3f7d]",
25 | "controlnet11Models_scribble [4e6af23e]",
26 | "controlnet11Models_seg [ab613144]",
27 | "controlnet11Models_shuffle [04a71f87]",
28 | "controlnet11Models_softedge [f616a34f]",
29 | "controlnet11Models_tile [39a89b25]",
30 | "diffusers_xl_depth_full [2f51180b]",
31 | "t2iadapter_color-fp16 [743b5c62]"
32 | ]
33 | }
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # Install
2 | The easiest way is to use ComfyUI Manager to install, otherwise just clone into ComfyUI's custom node folder.
3 |
4 | # Use
5 | 1. Create a workflow with Projector Controlnet Input as input, and Projectorz Output as output
6 | 2. Click Gen Art in Stable Projectorz
7 | 3. Done
8 |
9 | # Info
10 | These custom nodes enable Stable Projectorz to work with ComfyUI Directly.
11 |
12 | StableProjectorz sends controlnet images/masks and inpaint images/masks to ComfyUI nodes, and then ComfyUI process them and sends them back to StableProjectorz.
13 |
14 | All settings in Stable Projectorz are accessable through ProjectorzParameter node and ProjectorzControlnetParameter node.
15 |
16 | Enjoy!
17 |
18 | # Sample Workflows
19 |
20 | Sample workflow for Generating with Controlnet(the default way with Projectorz)
21 |
22 | 
23 |
24 | Sample workflow for inpainting(Projectorz brush fill)
25 |
26 | 
27 |
28 |
29 |
30 |
31 | # Basic settings
32 |
33 | 
34 |
35 | 
36 |
37 | 
38 |
39 | 
40 |
41 | 
42 |
--------------------------------------------------------------------------------
/controlnet_module_list.json:
--------------------------------------------------------------------------------
1 | {
2 | "module_list": [
3 | "None",
4 | "softedge_pidinet",
5 | "shuffle",
6 | "seg_ofade20k",
7 | "scribble_pidinet",
8 | "reference_only",
9 | "openpose_full",
10 | "normalbae",
11 | "mlsd",
12 | "lineart_standard (from white bg & black line)",
13 | "depth_midas",
14 | "depth_marigold",
15 | "canny",
16 | "invert (from white bg & black line)",
17 | "InsightFace+CLIP-H (IPAdapter)",
18 | "ClipVision (Photomaker)",
19 | "CLIP-ViT-bigG (IPAdapter)",
20 | "CLIP-ViT-H (IPAdapter)",
21 | "InsightFace (InstantID)",
22 | "CLIP-G (Revision)",
23 | "CLIP-G (Revision ignore prompt)",
24 | "tile_resample",
25 | "tile_colorfix+sharp",
26 | "tile_colorfix",
27 | "threshold",
28 | "t2ia_sketch_pidi",
29 | "t2ia_color_grid",
30 | "softedge_teed",
31 | "softedge_pidisafe",
32 | "softedge_hedsafe",
33 | "softedge_hed",
34 | "seg_ufade20k",
35 | "seg_ofcoco",
36 | "seg_anime_face",
37 | "scribble_xdog",
38 | "scribble_hed",
39 | "reference_adain+attn",
40 | "reference_adain",
41 | "recolor_luminance",
42 | "recolor_intensity",
43 | "openpose_hand",
44 | "openpose_faceonly",
45 | "openpose_face",
46 | "openpose",
47 | "normal_midas",
48 | "mediapipe_face",
49 | "lineart_realistic",
50 | "lineart_coarse",
51 | "lineart_anime_denoise",
52 | "lineart_anime",
53 | "instant_id_face_keypoints",
54 | "inpaint_only+lama",
55 | "inpaint_only",
56 | "inpaint_global_harmonious",
57 | "dw_openpose_full",
58 | "depth_zoe",
59 | "depth_leres++",
60 | "depth_leres",
61 | "depth_hand_refiner",
62 | "depth_anything",
63 | "densepose_parula (black bg & blue torso)",
64 | "densepose (pruple bg & purple torso)",
65 | "blur_gaussian",
66 | "animal_openpose"
67 | ]
68 | }
--------------------------------------------------------------------------------
/upscalers_sample.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "name": "None",
4 | "model_name": null,
5 | "model_path": null,
6 | "model_url": null,
7 | "scale": 4.0
8 | },
9 | {
10 | "name": "Lanczos",
11 | "model_name": null,
12 | "model_path": null,
13 | "model_url": null,
14 | "scale": 4.0
15 | },
16 | {
17 | "name": "Nearest",
18 | "model_name": null,
19 | "model_path": null,
20 | "model_url": null,
21 | "scale": 4.0
22 | },
23 | {
24 | "name": "DAT x2",
25 | "model_name": null,
26 | "model_path": "https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x2.pth",
27 | "model_url": null,
28 | "scale": 2.0
29 | },
30 | {
31 | "name": "DAT x3",
32 | "model_name": null,
33 | "model_path": "https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x3.pth",
34 | "model_url": null,
35 | "scale": 3.0
36 | },
37 | {
38 | "name": "DAT x4",
39 | "model_name": null,
40 | "model_path": "https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x4.pth",
41 | "model_url": null,
42 | "scale": 4.0
43 | },
44 | {
45 | "name": "ESRGAN_4x",
46 | "model_name": "ESRGAN_4x",
47 | "model_path": "D:\\Projects\\AI\\2_Graphic\\stable-diffusion-webui-forge\\models\\ESRGAN\\ESRGAN_4x.pth",
48 | "model_url": null,
49 | "scale": 4.0
50 | },
51 | {
52 | "name": "LDSR",
53 | "model_name": null,
54 | "model_path": null,
55 | "model_url": null,
56 | "scale": 4.0
57 | },
58 | {
59 | "name": "R-ESRGAN 4x+",
60 | "model_name": null,
61 | "model_path": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
62 | "model_url": null,
63 | "scale": 4.0
64 | },
65 | {
66 | "name": "R-ESRGAN 4x+ Anime6B",
67 | "model_name": null,
68 | "model_path": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
69 | "model_url": null,
70 | "scale": 4.0
71 | },
72 | {
73 | "name": "ScuNET GAN",
74 | "model_name": "ScuNET GAN",
75 | "model_path": "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth",
76 | "model_url": null,
77 | "scale": 4.0
78 | },
79 | {
80 | "name": "ScuNET PSNR",
81 | "model_name": "ScuNET GAN",
82 | "model_path": "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth",
83 | "model_url": null,
84 | "scale": 4.0
85 | },
86 | {
87 | "name": "SwinIR 4x",
88 | "model_name": "SwinIR 4x",
89 | "model_path": "https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth",
90 | "model_url": null,
91 | "scale": 4.0
92 | }
93 | ]
--------------------------------------------------------------------------------
/ws_manager.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | import json
3 | from aiohttp import web, WSMsgType
4 |
5 |
6 | class WSCallsManager:
7 | ws = None
8 | def __init__(self, message_handler=None):
9 | self.calls = dict()
10 | self.call_id = 0
11 | self.message_handler = message_handler
12 | self.destroyed = False
13 |
14 | async def prepare_request(self, request):
15 | ws = web.WebSocketResponse()
16 | await ws.prepare(request)
17 | self.ws = ws
18 |
19 | async def call(self, action, params, timeout=30):
20 | self.call_id += 1
21 | payload = {
22 | 'call_id': self.call_id,
23 | 'action': action,
24 | 'params': params
25 | }
26 | loop = asyncio.get_event_loop()
27 | call = loop.create_future()
28 | self.calls[self.call_id] = (loop, call)
29 |
30 | await self.ws.send_str(json.dumps(payload))
31 | await asyncio.wait_for(call, timeout)
32 | return call.result()
33 |
34 | def handle_call(self, call_id, result=None, error=None):
35 | loop, call = self._get_call_and_remove(call_id)
36 | if (call.cancelled()):
37 | return
38 | if (error is not None):
39 | loop.call_soon_threadsafe(call.set_exception, ValueError(error))
40 | else:
41 | loop.call_soon_threadsafe(call.set_result, result)
42 |
43 | def _get_call_and_remove(self, call_id):
44 | (loop, call) = self.calls.get(call_id, None)
45 | if call is not None:
46 | self.calls.pop(call_id)
47 | else:
48 | raise ValueError(f'call {call_id} not found')
49 | return loop, call
50 |
51 | async def message_loop(self):
52 | async for msg in self.ws:
53 | if self.destroyed: break
54 | if self.message_handler is not None and await self.message_handler(msg):
55 | continue
56 | if msg.type == WSMsgType.TEXT:
57 | payload = json.loads(msg.data)
58 | if 'call_id' in payload:
59 | call_id = payload['call_id']
60 | if 'error' not in payload and 'result' not in payload:
61 | await self.ws.send_str(json.dumps({ call_id: call_id, 'error': 'result not found in payload'}))
62 | else:
63 | self.handle_call(call_id, result=payload.get("result", None), error=payload.get("error", None))
64 | else:
65 | if 'error' in payload:
66 | print('Remote error', payload['error'])
67 | await self.ws.send_str(json.dumps({ 'error': 'call_id not found in payload'}))
68 | elif msg.type == WSMsgType.ERROR:
69 | print('ws connection closed with exception %s' % self.ws.exception())
70 | else:
71 | await self.ws.send_str('invalid msg type')
72 | await self.destroy()
73 |
74 | async def destroy(self):
75 | if self.destroyed:
76 | return
77 | self.destroyed = True
78 | await self.ws.close()
79 |
--------------------------------------------------------------------------------
/.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 | share/python-wheels/
24 | *.egg-info/
25 | .installed.cfg
26 | *.egg
27 | MANIFEST
28 |
29 | # PyInstaller
30 | # Usually these files are written by a python script from a template
31 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
32 | *.manifest
33 | *.spec
34 |
35 | # Installer logs
36 | pip-log.txt
37 | pip-delete-this-directory.txt
38 |
39 | # Unit test / coverage reports
40 | htmlcov/
41 | .tox/
42 | .nox/
43 | .coverage
44 | .coverage.*
45 | .cache
46 | nosetests.xml
47 | coverage.xml
48 | *.cover
49 | *.py,cover
50 | .hypothesis/
51 | .pytest_cache/
52 | cover/
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 | .pybuilder/
76 | target/
77 |
78 | # Jupyter Notebook
79 | .ipynb_checkpoints
80 |
81 | # IPython
82 | profile_default/
83 | ipython_config.py
84 |
85 | # pyenv
86 | # For a library or package, you might want to ignore these files since the code is
87 | # intended to run in multiple environments; otherwise, check them in:
88 | # .python-version
89 |
90 | # pipenv
91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies
93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not
94 | # install all needed dependencies.
95 | #Pipfile.lock
96 |
97 | # poetry
98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
99 | # This is especially recommended for binary packages to ensure reproducibility, and is more
100 | # commonly ignored for libraries.
101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
102 | #poetry.lock
103 |
104 | # pdm
105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
106 | #pdm.lock
107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
108 | # in version control.
109 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control
110 | .pdm.toml
111 | .pdm-python
112 | .pdm-build/
113 |
114 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
115 | __pypackages__/
116 |
117 | # Celery stuff
118 | celerybeat-schedule
119 | celerybeat.pid
120 |
121 | # SageMath parsed files
122 | *.sage.py
123 |
124 | # Environments
125 | .env
126 | .venv
127 | env/
128 | venv/
129 | ENV/
130 | env.bak/
131 | venv.bak/
132 |
133 | # Spyder project settings
134 | .spyderproject
135 | .spyproject
136 |
137 | # Rope project settings
138 | .ropeproject
139 |
140 | # mkdocs documentation
141 | /site
142 |
143 | # mypy
144 | .mypy_cache/
145 | .dmypy.json
146 | dmypy.json
147 |
148 | # Pyre type checker
149 | .pyre/
150 |
151 | # pytype static type analyzer
152 | .pytype/
153 |
154 | # Cython debug symbols
155 | cython_debug/
156 |
157 | # PyCharm
158 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can
159 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
160 | # and can be added to the global gitignore or merged into this file. For a more nuclear
161 | # option (not recommended) you can uncomment the following to ignore the entire idea folder.
162 | #.idea/
163 |
--------------------------------------------------------------------------------
/web/StableProjectorzBridge.js:
--------------------------------------------------------------------------------
1 | import { app } from "../../../scripts/app.js";
2 | import { api } from "../../../scripts/api.js"
3 |
4 | console.log("[StableProjectorzBridge]", "Loading js extension");
5 | const FILENAME_FORMAT_INIT_PREFIX = 'ProjectorInitBlob_{0}_'
6 | const FILENAME_FORMAT_CONTROLNET_PREFIX = 'ProjectorControlnetBlob_{0}_'
7 | const FILENAME_FORMAT_OUTPUT_PREFIX = 'ProjectorOutputBlob_{0}_'
8 | const FILENAME_FORMAT_INIT_PREFIX_DEFAULT = FILENAME_FORMAT_INIT_PREFIX.replace("{0}", "0")
9 | const FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT = FILENAME_FORMAT_CONTROLNET_PREFIX.replace("{0}", "0")
10 | const FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT = FILENAME_FORMAT_OUTPUT_PREFIX.replace("{0}", "0")
11 | const DEFAUL_VALUE_TEXT = "!!!Autofill when executed!!!";
12 | let input_init_prefix = FILENAME_FORMAT_INIT_PREFIX_DEFAULT;
13 | let input_controlnet_prefix = FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT;
14 | let output_prefix = FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT;
15 | let data = {};
16 | let socket;
17 | app.registerExtension({
18 | name: "Comfy.StableProjectorzBridge",
19 | init() {
20 | },
21 | async setup() {
22 | setInterval(() => {
23 | if (!socket) {
24 | createSocket();
25 | }
26 | }, 1000);
27 | },
28 | async beforeRegisterNodeDef(nodeType, nodeData, app) {
29 | if (nodeType.comfyClass === 'ProjectorzInitInput') {
30 | const this_handler = function() {
31 | const prefix_widget = this.widgets[1];
32 | prefix_widget.value = input_init_prefix;
33 | }
34 | const onSerialize = nodeType.prototype.onSerialize;
35 | nodeType.prototype.onSerialize = async function(...args) {
36 | if(onSerialize) await onSerialize.call(this, ...args);
37 | this_handler.call(this);
38 | }
39 | }
40 | else if (nodeType.comfyClass === 'ProjectorzControlnetInput') {
41 | const this_handler = function() {
42 | const prefix_widget = this.widgets[1];
43 | prefix_widget.value = input_controlnet_prefix;
44 | }
45 | const onSerialize = nodeType.prototype.onSerialize;
46 | nodeType.prototype.onSerialize = async function(...args) {
47 | if(onSerialize) await onSerialize.call(this, ...args);
48 | this_handler.call(this);
49 | }
50 | }
51 | else if (nodeType.comfyClass === 'ProjectorzOutput') {
52 | const this_handler = function() {
53 | const prefix_widget = this.widgets[0];
54 | prefix_widget.value = output_prefix;
55 | }
56 | const onSerialize = nodeType.prototype.onSerialize;
57 | nodeType.prototype.onSerialize = async function(...args) {
58 | if(onSerialize) await onSerialize.call(this, ...args);
59 | this_handler.call(this);
60 | }
61 | }
62 | else if (nodeType.comfyClass === 'ProjectorzParameter') {
63 | const this_handler = function() {
64 | const name = this.widgets[0];
65 | const value = this.widgets[1];
66 | if (data[name.value] == undefined) {
67 | value.value = DEFAUL_VALUE_TEXT;
68 | return;
69 | }
70 | value.value = data[name.value];
71 | }
72 | const onSerialize = nodeType.prototype.onSerialize;
73 | nodeType.prototype.onSerialize = async function(...args) {
74 | if(onSerialize) await onSerialize.call(this, ...args);
75 | this_handler.call(this);
76 | }
77 | }
78 | else if (nodeType.comfyClass === 'ProjectorzControlnetParameter') {
79 | const this_handler = function() {
80 | const index = this.widgets[0];
81 | const name = this.widgets[1];
82 | const value = this.widgets[2];
83 | const parameter = data.alwayson_scripts?.controlnet?.args?.[index.value]?.[name.value];
84 | if (parameter == undefined) {
85 | value.value = DEFAUL_VALUE_TEXT;
86 | return;
87 | }
88 | value.value = parameter;
89 | }
90 | const onSerialize = nodeType.prototype.onSerialize;
91 | nodeType.prototype.onSerialize = async function(...args) {
92 | if(onSerialize) await onSerialize.call(this, ...args);
93 | this_handler.call(this);
94 | }
95 | }
96 | }
97 | });
98 |
99 | function createSocket(){
100 | socket = new WebSocket(
101 | `ws${window.location.protocol === "https:" ? "s" : ""}://${api.api_host}/A1111/v1/init_client`
102 | );
103 | socket.addEventListener("open", () => {
104 | });
105 | socket.addEventListener("error", () => {
106 | if (socket) socket.close();
107 | });
108 | socket.addEventListener("close", () => {
109 | setTimeout(() => {
110 | socket = null;
111 | }, 300);
112 | });
113 | socket.addEventListener("message", (event) => {
114 | try {
115 | const msg = JSON.parse(event.data);
116 | switch (msg.action) {
117 | case "run_prompt":
118 | run_prompt(msg.call_id, msg.params);
119 | break;
120 | default:
121 | console.warn("Unhandled message:", event.data);
122 | break;
123 | }
124 | } catch (error) {
125 | console.warn("Unhandled message:", event.data, error);
126 | }
127 | });
128 | }
129 |
130 | async function respond(callId, result) {
131 | socket.send(JSON.stringify({
132 | call_id: callId,
133 | result: result,
134 | }));
135 | }
136 |
137 | async function run_prompt(callId, params) {
138 | const randomId = params.random_id ?? "0";
139 | data = params.json_data ?? "{}";
140 | input_init_prefix = FILENAME_FORMAT_INIT_PREFIX.replace("{0}", randomId);
141 | input_controlnet_prefix = FILENAME_FORMAT_CONTROLNET_PREFIX.replace("{0}", randomId);
142 | output_prefix = FILENAME_FORMAT_OUTPUT_PREFIX.replace("{0}", randomId);
143 | const n_iter = data.n_iter ?? 1;
144 | await app.queuePrompt(0, n_iter)
145 | respond(callId, "done");
146 | }
--------------------------------------------------------------------------------
/nodes.py:
--------------------------------------------------------------------------------
1 | import json
2 | import os
3 | from PIL import Image
4 | from PIL.PngImagePlugin import PngInfo
5 | import numpy as np
6 | import torch
7 | import folder_paths
8 | from nodes import LoadImage
9 | from . import apis
10 |
11 | DEFAUL_VALUE_TEXT = "!!!Autofill when executed!!!";
12 |
13 | def get_empty_image():
14 | r = torch.full([1, 512, 512, 1], ((0xFF >> 16) & 0xFF) / 0xFF)
15 | g = torch.full([1, 512, 512, 1], ((0xFF >> 8) & 0xFF) / 0xFF)
16 | b = torch.full([1, 512, 512, 1], ((0xFF) & 0xFF) / 0xFF)
17 | return torch.cat((r, g, b), dim=-1)
18 |
19 | def load_image(image_name):
20 | try:
21 | loadImage = LoadImage()
22 | (output_image, output_mask) = loadImage.load_image(image_name)
23 | except:
24 | output_image = get_empty_image()
25 | output_mask = torch.full([512, 512], 0)
26 | return (output_image, output_mask)
27 |
28 | class ProjectorzInitInput:
29 | channel_list = ["red", "green", "blue", "alpha"]
30 | @classmethod
31 | def INPUT_TYPES(cls):
32 | return {
33 | "required": {
34 | "index": ("INT", {"default": 0}),
35 | "name_prefix": ("STRING", {"default": apis.FILENAME_FORMAT_INIT_PREFIX_DEFAULT}),
36 | "mask_channel": (ProjectorzInitInput.channel_list,),
37 | }
38 | }
39 |
40 | RETURN_TYPES = ("IMAGE", "MASK")
41 | FUNCTION = "run"
42 | CATEGORY = "Projectorz"
43 |
44 | def run(self, index, name_prefix, mask_channel):
45 | image_name = name_prefix + str(index) + ".png"
46 | (output_image, output_mask) = load_image(image_name)
47 | image_mask_name = name_prefix + str(index) + "_mask.png"
48 | (output_image_mask, output_mask_mask) = load_image(image_mask_name)
49 | mask_channel_index = ProjectorzInitInput.channel_list.index(mask_channel)
50 | mask = output_image_mask[:, :, :, mask_channel_index] if mask_channel_index < 3 else output_mask_mask
51 | return (output_image, mask)
52 |
53 | class ProjectorzControlnetInput:
54 | @classmethod
55 | def INPUT_TYPES(cls):
56 | return {
57 | "required": {
58 | "index": ("INT", {"default": 0}),
59 | "name_prefix": ("STRING", {"default": apis.FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT}),
60 | }
61 | }
62 |
63 | RETURN_TYPES = ("IMAGE", "MASK")
64 | FUNCTION = "run"
65 | CATEGORY = "Projectorz"
66 |
67 | def run(self, index, name_prefix):
68 | image_name = name_prefix + str(index) + ".png"
69 | (output_image, output_mask) = load_image(image_name)
70 | image_mask_name = name_prefix + str(index) + "_mask.png"
71 | (output_image_mask, output_mask_mask) = load_image(image_mask_name)
72 | return (output_image, output_mask_mask)
73 |
74 | class ProjectorzOutput:
75 | @classmethod
76 | def INPUT_TYPES(cls):
77 | return {
78 | "required": {
79 | "images": ("IMAGE",),
80 | "name_prefix": ("STRING", {"default": apis.FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT}),
81 | },
82 | "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
83 | }
84 |
85 | RETURN_TYPES = ()
86 | FUNCTION = "run"
87 | CATEGORY = "Projectorz"
88 | OUTPUT_NODE = True
89 |
90 | def run(self, images, name_prefix, prompt=None, extra_pnginfo=None):
91 | output_dir = folder_paths.get_output_directory()
92 | dup_count = 0
93 | for (batch_number, image) in enumerate(images):
94 | i = 255. * image.cpu().numpy()
95 | img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
96 | metadata = PngInfo()
97 | if prompt is not None:
98 | metadata.add_text("prompt", json.dumps(prompt))
99 | if extra_pnginfo is not None:
100 | for x in extra_pnginfo:
101 | metadata.add_text(x, json.dumps(extra_pnginfo[x]))
102 | output_filename = f"{name_prefix}_{batch_number}_{dup_count}.png"
103 | while os.path.exists(os.path.join(output_dir, output_filename)):
104 | dup_count += 1
105 | output_filename = f"{name_prefix}_{batch_number}_{dup_count}.png"
106 | img.save(os.path.join(output_dir, output_filename), pnginfo=metadata)
107 | return (None,)
108 |
109 | PROJECTORZ_PARAMETERS = [
110 | 'prompt',
111 | 'negative_prompt',
112 | 'sampler_name',
113 | 'batch_size',
114 | 'n_iter',
115 | 'steps',
116 | 'cfg_scale',
117 | 'width',
118 | 'height',
119 | 'seed',
120 | 'refiner_checkpoint',
121 | 'refiner_switch_at',
122 | 'tiling',
123 | 'enable_hr',
124 | 'hr_upscaler',
125 | 'hr_sampler_name',
126 | 'hr_scale',
127 | 'denoising_strength',
128 | 'hr_second_pass_steps',
129 | ]
130 | class ProjectorzParameter:
131 | @classmethod
132 | def INPUT_TYPES(cls):
133 | return {
134 | "required": {
135 | "name": (PROJECTORZ_PARAMETERS, {"default": PROJECTORZ_PARAMETERS[0]}),
136 | "value": ("STRING", {"default": DEFAUL_VALUE_TEXT}),
137 | }
138 | }
139 |
140 | RETURN_TYPES = ("STRING", )
141 | FUNCTION = "run"
142 | CATEGORY = "Projectorz"
143 |
144 | def run(self, name, value):
145 | return (str(value),)
146 |
147 | PROJECTORZ_CONTROLNET_PARAMETERS = [
148 | 'enabled',
149 | 'resize_mode',
150 | 'module',
151 | 'model',
152 | 'weight',
153 | 'low_vram',
154 | 'processor_res',
155 | 'threshold_a',
156 | 'threshold_b',
157 | 'guidance_start',
158 | 'guidance_end',
159 | 'control_mode',
160 | 'pixel_perfect',
161 | ]
162 | class ProjectorzControlnetParameter:
163 | @classmethod
164 | def INPUT_TYPES(cls):
165 | return {
166 | "required": {
167 | "index": ("INT", {"default": 0}),
168 | "name": (PROJECTORZ_CONTROLNET_PARAMETERS, {"default": PROJECTORZ_CONTROLNET_PARAMETERS[0]}),
169 | "value": ("STRING", {"default": DEFAUL_VALUE_TEXT}),
170 | }
171 | }
172 |
173 | RETURN_TYPES = ("STRING", )
174 | FUNCTION = "run"
175 | CATEGORY = "Projectorz"
176 |
177 | def run(self, index, name, value):
178 | return (str(value),)
179 |
180 | class ProjectorzStringToInt:
181 | @classmethod
182 | def INPUT_TYPES(cls):
183 | return {
184 | "required": {
185 | "string": ("STRING", {"default": ""}),
186 | }
187 | }
188 |
189 | RETURN_TYPES = ("INT", )
190 | FUNCTION = "run"
191 | CATEGORY = "Projectorz"
192 |
193 | def run(self, string):
194 | return (int(string),)
195 |
196 | class ProjectorzStringToFloat:
197 | @classmethod
198 | def INPUT_TYPES(cls):
199 | return {
200 | "required": {
201 | "string": ("STRING", {"default": ""}),
202 | }
203 | }
204 |
205 | RETURN_TYPES = ("FLOAT", )
206 | FUNCTION = "run"
207 | CATEGORY = "Projectorz"
208 |
209 | def run(self, string):
210 | return (float(string),)
211 |
212 | NODE_CLASS_MAPPINGS = {
213 | "ProjectorzInitInput": ProjectorzInitInput,
214 | "ProjectorzControlnetInput": ProjectorzControlnetInput,
215 | "ProjectorzOutput": ProjectorzOutput,
216 | "ProjectorzParameter": ProjectorzParameter,
217 | "ProjectorzControlnetParameter": ProjectorzControlnetParameter,
218 | "ProjectorzStringToInt": ProjectorzStringToInt,
219 | "ProjectorzStringToFloat": ProjectorzStringToFloat,
220 | }
221 |
222 | NODE_DISPLAY_NAME_MAPPINGS = {
223 | "ProjectorzInitInput": "Projectorz Init Input",
224 | "ProjectorzControlnetInput": "Projectorz Controlnet Input",
225 | "ProjectorzOutput": "Projectorz Output",
226 | "ProjectorzParameter": "Projectorz Parameter",
227 | "ProjectorzControlnetParameter": "Projectorz Controlnet Parameter",
228 | "ProjectorzStringToInt": "Projectorz String To Int",
229 | "ProjectorzStringToFloat": "Projectorz String To Float",
230 | }
--------------------------------------------------------------------------------
/samplers.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "name": "DPM++ 2M Karras",
4 | "aliases": [
5 | "k_dpmpp_2m_ka"
6 | ],
7 | "options": {
8 | "scheduler": "karras"
9 | }
10 | },
11 | {
12 | "name": "DPM++ SDE Karras",
13 | "aliases": [
14 | "k_dpmpp_sde_ka"
15 | ],
16 | "options": {
17 | "scheduler": "karras",
18 | "second_order": "True",
19 | "brownian_noise": "True"
20 | }
21 | },
22 | {
23 | "name": "DPM++ 2M SDE Exponential",
24 | "aliases": [
25 | "k_dpmpp_2m_sde_exp"
26 | ],
27 | "options": {
28 | "scheduler": "exponential",
29 | "brownian_noise": "True"
30 | }
31 | },
32 | {
33 | "name": "DPM++ 2M SDE Karras",
34 | "aliases": [
35 | "k_dpmpp_2m_sde_ka"
36 | ],
37 | "options": {
38 | "scheduler": "karras",
39 | "brownian_noise": "True"
40 | }
41 | },
42 | {
43 | "name": "Euler a",
44 | "aliases": [
45 | "k_euler_a",
46 | "k_euler_ancestral"
47 | ],
48 | "options": {
49 | "uses_ensd": "True"
50 | }
51 | },
52 | {
53 | "name": "Euler",
54 | "aliases": [
55 | "k_euler"
56 | ],
57 | "options": {}
58 | },
59 | {
60 | "name": "LMS",
61 | "aliases": [
62 | "k_lms"
63 | ],
64 | "options": {}
65 | },
66 | {
67 | "name": "Heun",
68 | "aliases": [
69 | "k_heun"
70 | ],
71 | "options": {
72 | "second_order": "True"
73 | }
74 | },
75 | {
76 | "name": "DPM2",
77 | "aliases": [
78 | "k_dpm_2"
79 | ],
80 | "options": {
81 | "discard_next_to_last_sigma": "True",
82 | "second_order": "True"
83 | }
84 | },
85 | {
86 | "name": "DPM2 a",
87 | "aliases": [
88 | "k_dpm_2_a"
89 | ],
90 | "options": {
91 | "discard_next_to_last_sigma": "True",
92 | "uses_ensd": "True",
93 | "second_order": "True"
94 | }
95 | },
96 | {
97 | "name": "DPM++ 2S a",
98 | "aliases": [
99 | "k_dpmpp_2s_a"
100 | ],
101 | "options": {
102 | "uses_ensd": "True",
103 | "second_order": "True"
104 | }
105 | },
106 | {
107 | "name": "DPM++ 2M",
108 | "aliases": [
109 | "k_dpmpp_2m"
110 | ],
111 | "options": {}
112 | },
113 | {
114 | "name": "DPM++ SDE",
115 | "aliases": [
116 | "k_dpmpp_sde"
117 | ],
118 | "options": {
119 | "second_order": "True",
120 | "brownian_noise": "True"
121 | }
122 | },
123 | {
124 | "name": "DPM++ 2M SDE",
125 | "aliases": [
126 | "k_dpmpp_2m_sde_ka"
127 | ],
128 | "options": {
129 | "brownian_noise": "True"
130 | }
131 | },
132 | {
133 | "name": "DPM++ 2M SDE Heun",
134 | "aliases": [
135 | "k_dpmpp_2m_sde_heun"
136 | ],
137 | "options": {
138 | "brownian_noise": "True",
139 | "solver_type": "heun"
140 | }
141 | },
142 | {
143 | "name": "DPM++ 2M SDE Heun Karras",
144 | "aliases": [
145 | "k_dpmpp_2m_sde_heun_ka"
146 | ],
147 | "options": {
148 | "scheduler": "karras",
149 | "brownian_noise": "True",
150 | "solver_type": "heun"
151 | }
152 | },
153 | {
154 | "name": "DPM++ 2M SDE Heun Exponential",
155 | "aliases": [
156 | "k_dpmpp_2m_sde_heun_exp"
157 | ],
158 | "options": {
159 | "scheduler": "exponential",
160 | "brownian_noise": "True",
161 | "solver_type": "heun"
162 | }
163 | },
164 | {
165 | "name": "DPM++ 3M SDE",
166 | "aliases": [
167 | "k_dpmpp_3m_sde"
168 | ],
169 | "options": {
170 | "discard_next_to_last_sigma": "True",
171 | "brownian_noise": "True"
172 | }
173 | },
174 | {
175 | "name": "DPM++ 3M SDE Karras",
176 | "aliases": [
177 | "k_dpmpp_3m_sde_ka"
178 | ],
179 | "options": {
180 | "scheduler": "karras",
181 | "discard_next_to_last_sigma": "True",
182 | "brownian_noise": "True"
183 | }
184 | },
185 | {
186 | "name": "DPM++ 3M SDE Exponential",
187 | "aliases": [
188 | "k_dpmpp_3m_sde_exp"
189 | ],
190 | "options": {
191 | "scheduler": "exponential",
192 | "discard_next_to_last_sigma": "True",
193 | "brownian_noise": "True"
194 | }
195 | },
196 | {
197 | "name": "DPM fast",
198 | "aliases": [
199 | "k_dpm_fast"
200 | ],
201 | "options": {
202 | "uses_ensd": "True"
203 | }
204 | },
205 | {
206 | "name": "DPM adaptive",
207 | "aliases": [
208 | "k_dpm_ad"
209 | ],
210 | "options": {
211 | "uses_ensd": "True"
212 | }
213 | },
214 | {
215 | "name": "LMS Karras",
216 | "aliases": [
217 | "k_lms_ka"
218 | ],
219 | "options": {
220 | "scheduler": "karras"
221 | }
222 | },
223 | {
224 | "name": "DPM2 Karras",
225 | "aliases": [
226 | "k_dpm_2_ka"
227 | ],
228 | "options": {
229 | "scheduler": "karras",
230 | "discard_next_to_last_sigma": "True",
231 | "uses_ensd": "True",
232 | "second_order": "True"
233 | }
234 | },
235 | {
236 | "name": "DPM2 a Karras",
237 | "aliases": [
238 | "k_dpm_2_a_ka"
239 | ],
240 | "options": {
241 | "scheduler": "karras",
242 | "discard_next_to_last_sigma": "True",
243 | "uses_ensd": "True",
244 | "second_order": "True"
245 | }
246 | },
247 | {
248 | "name": "DPM++ 2S a Karras",
249 | "aliases": [
250 | "k_dpmpp_2s_a_ka"
251 | ],
252 | "options": {
253 | "scheduler": "karras",
254 | "uses_ensd": "True",
255 | "second_order": "True"
256 | }
257 | },
258 | {
259 | "name": "Restart",
260 | "aliases": [
261 | "restart"
262 | ],
263 | "options": {
264 | "scheduler": "karras",
265 | "second_order": "True"
266 | }
267 | },
268 | {
269 | "name": "DDIM",
270 | "aliases": [
271 | "ddim"
272 | ],
273 | "options": {}
274 | },
275 | {
276 | "name": "PLMS",
277 | "aliases": [
278 | "plms"
279 | ],
280 | "options": {}
281 | },
282 | {
283 | "name": "UniPC",
284 | "aliases": [
285 | "unipc"
286 | ],
287 | "options": {}
288 | },
289 | {
290 | "name": "LCM",
291 | "aliases": [
292 | "k_lcm"
293 | ],
294 | "options": {}
295 | },
296 | {
297 | "name": "DDPM",
298 | "aliases": [
299 | "ddpm"
300 | ],
301 | "options": {}
302 | },
303 | {
304 | "name": "DDPM Karras",
305 | "aliases": [
306 | "ddpm_karras"
307 | ],
308 | "options": {}
309 | },
310 | {
311 | "name": "Euler A Turbo",
312 | "aliases": [
313 | "euler_ancestral_turbo"
314 | ],
315 | "options": {}
316 | },
317 | {
318 | "name": "DPM++ 2M Turbo",
319 | "aliases": [
320 | "dpmpp_2m_turbo"
321 | ],
322 | "options": {}
323 | },
324 | {
325 | "name": "DPM++ 2M SDE Turbo",
326 | "aliases": [
327 | "dpmpp_2m_sde_turbo"
328 | ],
329 | "options": {}
330 | },
331 | {
332 | "name": "LCM Karras",
333 | "aliases": [
334 | "lcm_karras"
335 | ],
336 | "options": {}
337 | },
338 | {
339 | "name": "Euler SGMUniform",
340 | "aliases": [
341 | "euler_sgm_uniform"
342 | ],
343 | "options": {}
344 | },
345 | {
346 | "name": "Euler A SGMUniform",
347 | "aliases": [
348 | "euler_ancestral_sgm_uniform"
349 | ],
350 | "options": {}
351 | },
352 | {
353 | "name": "DPM++ 2M SGMUniform",
354 | "aliases": [
355 | "dpmpp_2m_sgm_uniform"
356 | ],
357 | "options": {}
358 | },
359 | {
360 | "name": "DPM++ 2M SDE SGMUniform",
361 | "aliases": [
362 | "dpmpp_2m_sde_sgm_uniform"
363 | ],
364 | "options": {}
365 | }
366 | ]
--------------------------------------------------------------------------------
/samplers_sample.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "name": "DPM++ 2M Karras",
4 | "aliases": [
5 | "k_dpmpp_2m_ka"
6 | ],
7 | "options": {
8 | "scheduler": "karras"
9 | }
10 | },
11 | {
12 | "name": "DPM++ SDE Karras",
13 | "aliases": [
14 | "k_dpmpp_sde_ka"
15 | ],
16 | "options": {
17 | "scheduler": "karras",
18 | "second_order": "True",
19 | "brownian_noise": "True"
20 | }
21 | },
22 | {
23 | "name": "DPM++ 2M SDE Exponential",
24 | "aliases": [
25 | "k_dpmpp_2m_sde_exp"
26 | ],
27 | "options": {
28 | "scheduler": "exponential",
29 | "brownian_noise": "True"
30 | }
31 | },
32 | {
33 | "name": "DPM++ 2M SDE Karras",
34 | "aliases": [
35 | "k_dpmpp_2m_sde_ka"
36 | ],
37 | "options": {
38 | "scheduler": "karras",
39 | "brownian_noise": "True"
40 | }
41 | },
42 | {
43 | "name": "Euler a",
44 | "aliases": [
45 | "k_euler_a",
46 | "k_euler_ancestral"
47 | ],
48 | "options": {
49 | "uses_ensd": "True"
50 | }
51 | },
52 | {
53 | "name": "Euler",
54 | "aliases": [
55 | "k_euler"
56 | ],
57 | "options": {}
58 | },
59 | {
60 | "name": "LMS",
61 | "aliases": [
62 | "k_lms"
63 | ],
64 | "options": {}
65 | },
66 | {
67 | "name": "Heun",
68 | "aliases": [
69 | "k_heun"
70 | ],
71 | "options": {
72 | "second_order": "True"
73 | }
74 | },
75 | {
76 | "name": "DPM2",
77 | "aliases": [
78 | "k_dpm_2"
79 | ],
80 | "options": {
81 | "discard_next_to_last_sigma": "True",
82 | "second_order": "True"
83 | }
84 | },
85 | {
86 | "name": "DPM2 a",
87 | "aliases": [
88 | "k_dpm_2_a"
89 | ],
90 | "options": {
91 | "discard_next_to_last_sigma": "True",
92 | "uses_ensd": "True",
93 | "second_order": "True"
94 | }
95 | },
96 | {
97 | "name": "DPM++ 2S a",
98 | "aliases": [
99 | "k_dpmpp_2s_a"
100 | ],
101 | "options": {
102 | "uses_ensd": "True",
103 | "second_order": "True"
104 | }
105 | },
106 | {
107 | "name": "DPM++ 2M",
108 | "aliases": [
109 | "k_dpmpp_2m"
110 | ],
111 | "options": {}
112 | },
113 | {
114 | "name": "DPM++ SDE",
115 | "aliases": [
116 | "k_dpmpp_sde"
117 | ],
118 | "options": {
119 | "second_order": "True",
120 | "brownian_noise": "True"
121 | }
122 | },
123 | {
124 | "name": "DPM++ 2M SDE",
125 | "aliases": [
126 | "k_dpmpp_2m_sde_ka"
127 | ],
128 | "options": {
129 | "brownian_noise": "True"
130 | }
131 | },
132 | {
133 | "name": "DPM++ 2M SDE Heun",
134 | "aliases": [
135 | "k_dpmpp_2m_sde_heun"
136 | ],
137 | "options": {
138 | "brownian_noise": "True",
139 | "solver_type": "heun"
140 | }
141 | },
142 | {
143 | "name": "DPM++ 2M SDE Heun Karras",
144 | "aliases": [
145 | "k_dpmpp_2m_sde_heun_ka"
146 | ],
147 | "options": {
148 | "scheduler": "karras",
149 | "brownian_noise": "True",
150 | "solver_type": "heun"
151 | }
152 | },
153 | {
154 | "name": "DPM++ 2M SDE Heun Exponential",
155 | "aliases": [
156 | "k_dpmpp_2m_sde_heun_exp"
157 | ],
158 | "options": {
159 | "scheduler": "exponential",
160 | "brownian_noise": "True",
161 | "solver_type": "heun"
162 | }
163 | },
164 | {
165 | "name": "DPM++ 3M SDE",
166 | "aliases": [
167 | "k_dpmpp_3m_sde"
168 | ],
169 | "options": {
170 | "discard_next_to_last_sigma": "True",
171 | "brownian_noise": "True"
172 | }
173 | },
174 | {
175 | "name": "DPM++ 3M SDE Karras",
176 | "aliases": [
177 | "k_dpmpp_3m_sde_ka"
178 | ],
179 | "options": {
180 | "scheduler": "karras",
181 | "discard_next_to_last_sigma": "True",
182 | "brownian_noise": "True"
183 | }
184 | },
185 | {
186 | "name": "DPM++ 3M SDE Exponential",
187 | "aliases": [
188 | "k_dpmpp_3m_sde_exp"
189 | ],
190 | "options": {
191 | "scheduler": "exponential",
192 | "discard_next_to_last_sigma": "True",
193 | "brownian_noise": "True"
194 | }
195 | },
196 | {
197 | "name": "DPM fast",
198 | "aliases": [
199 | "k_dpm_fast"
200 | ],
201 | "options": {
202 | "uses_ensd": "True"
203 | }
204 | },
205 | {
206 | "name": "DPM adaptive",
207 | "aliases": [
208 | "k_dpm_ad"
209 | ],
210 | "options": {
211 | "uses_ensd": "True"
212 | }
213 | },
214 | {
215 | "name": "LMS Karras",
216 | "aliases": [
217 | "k_lms_ka"
218 | ],
219 | "options": {
220 | "scheduler": "karras"
221 | }
222 | },
223 | {
224 | "name": "DPM2 Karras",
225 | "aliases": [
226 | "k_dpm_2_ka"
227 | ],
228 | "options": {
229 | "scheduler": "karras",
230 | "discard_next_to_last_sigma": "True",
231 | "uses_ensd": "True",
232 | "second_order": "True"
233 | }
234 | },
235 | {
236 | "name": "DPM2 a Karras",
237 | "aliases": [
238 | "k_dpm_2_a_ka"
239 | ],
240 | "options": {
241 | "scheduler": "karras",
242 | "discard_next_to_last_sigma": "True",
243 | "uses_ensd": "True",
244 | "second_order": "True"
245 | }
246 | },
247 | {
248 | "name": "DPM++ 2S a Karras",
249 | "aliases": [
250 | "k_dpmpp_2s_a_ka"
251 | ],
252 | "options": {
253 | "scheduler": "karras",
254 | "uses_ensd": "True",
255 | "second_order": "True"
256 | }
257 | },
258 | {
259 | "name": "Restart",
260 | "aliases": [
261 | "restart"
262 | ],
263 | "options": {
264 | "scheduler": "karras",
265 | "second_order": "True"
266 | }
267 | },
268 | {
269 | "name": "DDIM",
270 | "aliases": [
271 | "ddim"
272 | ],
273 | "options": {}
274 | },
275 | {
276 | "name": "PLMS",
277 | "aliases": [
278 | "plms"
279 | ],
280 | "options": {}
281 | },
282 | {
283 | "name": "UniPC",
284 | "aliases": [
285 | "unipc"
286 | ],
287 | "options": {}
288 | },
289 | {
290 | "name": "LCM",
291 | "aliases": [
292 | "k_lcm"
293 | ],
294 | "options": {}
295 | },
296 | {
297 | "name": "DDPM",
298 | "aliases": [
299 | "ddpm"
300 | ],
301 | "options": {}
302 | },
303 | {
304 | "name": "DDPM Karras",
305 | "aliases": [
306 | "ddpm_karras"
307 | ],
308 | "options": {}
309 | },
310 | {
311 | "name": "Euler A Turbo",
312 | "aliases": [
313 | "euler_ancestral_turbo"
314 | ],
315 | "options": {}
316 | },
317 | {
318 | "name": "DPM++ 2M Turbo",
319 | "aliases": [
320 | "dpmpp_2m_turbo"
321 | ],
322 | "options": {}
323 | },
324 | {
325 | "name": "DPM++ 2M SDE Turbo",
326 | "aliases": [
327 | "dpmpp_2m_sde_turbo"
328 | ],
329 | "options": {}
330 | },
331 | {
332 | "name": "LCM Karras",
333 | "aliases": [
334 | "lcm_karras"
335 | ],
336 | "options": {}
337 | },
338 | {
339 | "name": "Euler SGMUniform",
340 | "aliases": [
341 | "euler_sgm_uniform"
342 | ],
343 | "options": {}
344 | },
345 | {
346 | "name": "Euler A SGMUniform",
347 | "aliases": [
348 | "euler_ancestral_sgm_uniform"
349 | ],
350 | "options": {}
351 | },
352 | {
353 | "name": "DPM++ 2M SGMUniform",
354 | "aliases": [
355 | "dpmpp_2m_sgm_uniform"
356 | ],
357 | "options": {}
358 | },
359 | {
360 | "name": "DPM++ 2M SDE SGMUniform",
361 | "aliases": [
362 | "dpmpp_2m_sde_sgm_uniform"
363 | ],
364 | "options": {}
365 | }
366 | ]
--------------------------------------------------------------------------------
/apis.py:
--------------------------------------------------------------------------------
1 | import base64
2 | import io
3 | import json
4 | import os
5 | import random
6 | import string
7 | from PIL import PngImagePlugin, Image
8 | import aiohttp
9 | import numpy as np
10 | from server import PromptServer
11 | import folder_paths
12 | from aiohttp import web
13 | from . import ws
14 | import nodes
15 |
16 | FILENAME_FORMAT_INIT_PREFIX = 'ProjectorInitBlob_'
17 | FILENAME_FORMAT_CONTROLNET_PREFIX = 'ProjectorControlnetBlob_'
18 | FILENAME_FORMAT_OUTPUT_PREFIX = 'ProjectorOutputBlob_'
19 | FILENAME_FORMAT_INIT_PREFIX_DEFAULT = FILENAME_FORMAT_INIT_PREFIX.format("0")
20 | FILENAME_FORMAT_CONTROLNET_PREFIX_DEFAULT = FILENAME_FORMAT_CONTROLNET_PREFIX.format("0")
21 | FILENAME_FORMAT_OUTPUT_PREFIX_DEFAULT = FILENAME_FORMAT_OUTPUT_PREFIX.format("0")
22 |
23 | CURRENT_PATH = os.path.dirname(os.path.realpath(__file__))
24 |
25 | json_cache = {}
26 | def get_json_response(file_name):
27 | data = None
28 | if file_name in json_cache:
29 | data = json_cache[file_name]
30 | else:
31 | with open(os.path.join(CURRENT_PATH, file_name)) as f:
32 | data = json.load(f)
33 | json_cache[file_name] = data
34 | return web.Response(body=json.dumps(data), content_type='application/json')
35 |
36 | @PromptServer.instance.internal_routes.routes.get('/sysinfo')
37 | async def sysinfo_handler(request):
38 | return get_json_response('sysinfo.json')
39 |
40 | @PromptServer.instance.internal_routes.routes.get('/ping')
41 | async def ping_handler(request):
42 | return web.Response()
43 |
44 | @PromptServer.instance.routes.post('/sdapi/v1/interrupt')
45 | async def interrupt_handler(request):
46 | nodes.interrupt_processing()
47 | return web.Response()
48 |
49 | @PromptServer.instance.routes.get('/sdapi/v1/options')
50 | async def options_handler(request):
51 | return get_json_response('options.json')
52 |
53 | @PromptServer.instance.routes.post('/sdapi/v1/options')
54 | async def options_post_handler(request):
55 | if json_cache.get('options.json', None) is None:
56 | return web.Response()
57 | new_data = await request.json()
58 | json_cache['options.json'].update(new_data)
59 | return web.Response()
60 |
61 | @PromptServer.instance.routes.get('/sdapi/v1/samplers')
62 | async def samplers_handler(request):
63 | return get_json_response('samplers.json')
64 |
65 | @PromptServer.instance.routes.get('/sdapi/v1/sd-models')
66 | async def sd_models_handler(request):
67 | return get_json_response('sd-models.json')
68 |
69 | @PromptServer.instance.routes.get('/sdapi/v1/upscalers')
70 | async def upscalers_handler(request):
71 | return get_json_response('upscalers.json')
72 |
73 | @PromptServer.instance.routes.get('/sdapi/v1/sd-vae')
74 | async def sd_vae_handler(request):
75 | return get_json_response('sd-vae.json')
76 |
77 | @PromptServer.instance.routes.get('/controlnet/model_list')
78 | async def controlnet_model_list_handler(request):
79 | return get_json_response('controlnet_model_list.json')
80 |
81 | @PromptServer.instance.routes.get('/controlnet/module_list')
82 | async def controlnet_module_list_handler(request):
83 | return get_json_response('controlnet_module_list.json')
84 |
85 | @PromptServer.instance.routes.post('/sdapi/v1/txt2img')
86 | async def txt2img_handler(request):
87 | json_data = await request.json()
88 | random_id = "".join(random.choice(string.ascii_letters) for i in range(10))
89 | image_bytes_list, image_mask_bytes_list = get_controlnet_image_list(json_data)
90 | await upload_image_list(image_bytes_list, FILENAME_FORMAT_CONTROLNET_PREFIX, random_id, ".png")
91 | await upload_image_list(image_mask_bytes_list, FILENAME_FORMAT_CONTROLNET_PREFIX, random_id, "_mask.png")
92 | await ws.run_prompt(random_id, json_data)
93 | images = await find_output_image_to_b64(FILENAME_FORMAT_OUTPUT_PREFIX + f"{random_id}_")
94 | return web.Response(body=json.dumps({'images': images}), content_type='application/json')
95 |
96 | @PromptServer.instance.routes.post('/sdapi/v1/img2img')
97 | async def img2img_handler(request):
98 | json_data = await request.json()
99 | random_id = "".join(random.choice(string.ascii_letters) for i in range(10))
100 | init_image_list = get_init_image_list(json_data)
101 | await upload_image_list(init_image_list, FILENAME_FORMAT_INIT_PREFIX, random_id, ".png")
102 | init_mask_list = get_init_image_mask_list(json_data)
103 | await upload_image_list(init_mask_list, FILENAME_FORMAT_INIT_PREFIX, random_id, "_mask.png")
104 | image_bytes_list, image_mask_bytes_list = get_controlnet_image_list(json_data)
105 | await upload_image_list(image_bytes_list, FILENAME_FORMAT_CONTROLNET_PREFIX, random_id, ".png")
106 | await upload_image_list(image_mask_bytes_list, FILENAME_FORMAT_CONTROLNET_PREFIX, random_id, "_mask.png")
107 | await ws.run_prompt(random_id, json_data)
108 | images = await find_output_image_to_b64(FILENAME_FORMAT_OUTPUT_PREFIX + f"{random_id}_")
109 | return web.Response(body=json.dumps({'images': images}), content_type='application/json')
110 |
111 | @PromptServer.instance.routes.get('/sdapi/v1/progress')
112 | async def progress_handler(request):
113 | # json_data = await request.json()
114 | return web.Response()
115 |
116 | async def upload_image_list(image_bytes_list, prefix, random_id, postfix):
117 | if not image_bytes_list:
118 | print(f"No images to upload for {postfix}. Continuing without it.")
119 | return
120 | if isinstance(image_bytes_list, str):
121 | image_bytes_list = [image_bytes_list]
122 | # Filter out None values
123 | image_bytes_list = [image for image in image_bytes_list if image is not None]
124 | if not image_bytes_list:
125 | print(f"No valid images to upload for {postfix}. Continuing without it.")
126 | return
127 | prefix_random_id = prefix + f"{random_id}_"
128 | input_dir = folder_paths.get_input_directory()
129 | input_files = [f for f in os.listdir(input_dir) if f.startswith(prefix)]
130 | try:
131 | for input_file in input_files:
132 | if input_file.startswith(prefix_random_id):
133 | continue
134 | os.remove(os.path.join(input_dir, input_file))
135 | except:
136 | pass
137 | for index in range(len(image_bytes_list)):
138 | image_bytes = image_bytes_list[index]
139 | def get_form_data():
140 | form = aiohttp.FormData()
141 | filename = prefix_random_id + f"{index}" + f"{postfix}"
142 | form.add_field('image', image_bytes, filename=filename, content_type='image/png')
143 | form.add_field('overwrite', 'true')
144 | return form
145 | async with aiohttp.ClientSession() as session:
146 | try: #try local host first because ipv6 compatible
147 | await session.post(f'http://localhost:{PromptServer.instance.port}/upload/image', data = get_form_data())
148 | # manually throw error to test
149 | # print("Test error")
150 | # raise Exception("Test error")
151 | except:
152 | await session.post(f'http://127.0.0.1:{PromptServer.instance.port}/upload/image', data = get_form_data())
153 |
154 | async def find_output_image_to_b64(output_prefix):
155 | images = []
156 | output_dir = folder_paths.get_output_directory()
157 | output_files = [f for f in os.listdir(output_dir) if f.startswith(output_prefix)]
158 | output_files.sort()
159 | if len(output_files) <= 0:
160 | image = Image.new('RGB', (1, 1), (255, 255, 255))
161 | images.append(encode_pil_to_base64(image))
162 | return images
163 | for output_file in output_files:
164 | with open(os.path.join(output_dir, output_file), 'rb') as f:
165 | output_bytes = f.read()
166 | image = Image.open(io.BytesIO(output_bytes))
167 | images.append(encode_pil_to_base64(image))
168 | return images
169 |
170 | def get_init_image_mask_list(json_data):
171 | mask_bytes_list = []
172 | init_mask = json_data.get('mask', None)
173 | if init_mask is None:
174 | return mask_bytes_list
175 | mask_bytes = base64.b64decode(init_mask)
176 | mask_bytes_list.append(mask_bytes)
177 | return mask_bytes_list
178 |
179 | def get_init_image_list(json_data):
180 | image_bytes_list = []
181 | init_images = json_data.get('init_images', None)
182 | if init_images is None:
183 | return image_bytes_list
184 | for image in init_images:
185 | image_bytes = base64.b64decode(image)
186 | image_bytes_list.append(image_bytes)
187 | return image_bytes_list
188 |
189 | def get_controlnet_mask_list(json_data):
190 | alwayson_scripts = json_data.get('alwayson_scripts', None)
191 | if alwayson_scripts is None:
192 | return []
193 | controlnet = alwayson_scripts.get('controlnet', None)
194 | if controlnet is None:
195 | return []
196 | args = controlnet.get('args', None)
197 | if args is None:
198 | return []
199 | if len(args) <= 0:
200 | return []
201 | mask_bytes_list = []
202 | for arg in args:
203 | mask_b64 = arg.get('image_mask', None)
204 | if mask_b64 is None:
205 | mask_bytes_list.append(None)
206 | continue
207 | mask_bytes = base64.b64decode(mask_b64)
208 | mask_bytes_list.append(mask_bytes)
209 | return mask_bytes_list
210 |
211 | def get_controlnet_image_list(json_data):
212 | alwayson_scripts = json_data.get('alwayson_scripts', None)
213 | if alwayson_scripts is None:
214 | return []
215 | controlnet = alwayson_scripts.get('controlnet', None)
216 | if controlnet is None:
217 | return []
218 | args = controlnet.get('args', None)
219 | if args is None:
220 | return []
221 | if len(args) <= 0:
222 | return []
223 | image_bytes_list = []
224 | for arg in args:
225 | image_b64 = arg.get('image', None)
226 | if image_b64 is None:
227 | image_bytes_list.append(None)
228 | continue
229 | image_bytes = base64.b64decode(image_b64)
230 | image_bytes_list.append(image_bytes)
231 | image_mask_bytes_list = []
232 | for arg in args:
233 | image_mask_b64 = arg.get('image_mask', None)
234 | if image_mask_b64 is None:
235 | image_mask_bytes_list.append(None)
236 | continue
237 | image_mask_bytes = base64.b64decode(image_mask_b64)
238 | image_mask_bytes_list.append(image_mask_bytes)
239 | return image_bytes_list, image_mask_bytes_list
240 |
241 | def encode_pil_to_base64(image):
242 | with io.BytesIO() as output_bytes:
243 | if isinstance(image, str):
244 | return image
245 | if isinstance(image, np.ndarray):
246 | image = Image.fromarray(image)
247 | use_metadata = False
248 | metadata = PngImagePlugin.PngInfo()
249 | for key, value in image.info.items():
250 | if isinstance(key, str) and isinstance(value, str):
251 | metadata.add_text(key, value)
252 | use_metadata = True
253 | image.save(output_bytes, format="PNG", pnginfo=(metadata if use_metadata else None), quality=100)
254 | bytes_data = output_bytes.getvalue()
255 | return base64.b64encode(bytes_data).decode('ascii')
256 |
--------------------------------------------------------------------------------
/samples/ProjectorzInpaint_Sample.json:
--------------------------------------------------------------------------------
1 | {
2 | "last_node_id": 29,
3 | "last_link_id": 35,
4 | "nodes": [
5 | {
6 | "id": 11,
7 | "type": "KSampler",
8 | "pos": [
9 | 1250,
10 | 450
11 | ],
12 | "size": {
13 | "0": 315,
14 | "1": 474
15 | },
16 | "flags": {},
17 | "order": 7,
18 | "mode": 0,
19 | "inputs": [
20 | {
21 | "name": "model",
22 | "type": "MODEL",
23 | "link": 11
24 | },
25 | {
26 | "name": "positive",
27 | "type": "CONDITIONING",
28 | "link": 31,
29 | "slot_index": 1
30 | },
31 | {
32 | "name": "negative",
33 | "type": "CONDITIONING",
34 | "link": 13,
35 | "slot_index": 2
36 | },
37 | {
38 | "name": "latent_image",
39 | "type": "LATENT",
40 | "link": 35
41 | }
42 | ],
43 | "outputs": [
44 | {
45 | "name": "LATENT",
46 | "type": "LATENT",
47 | "links": [
48 | 23
49 | ],
50 | "shape": 3,
51 | "slot_index": 0
52 | }
53 | ],
54 | "properties": {
55 | "Node name for S&R": "KSampler"
56 | },
57 | "widgets_values": [
58 | 0,
59 | "fixed",
60 | 15,
61 | 8,
62 | "dpmpp_2m",
63 | "karras",
64 | 1
65 | ]
66 | },
67 | {
68 | "id": 13,
69 | "type": "CLIPTextEncode",
70 | "pos": [
71 | 250,
72 | 700
73 | ],
74 | "size": {
75 | "0": 400,
76 | "1": 200
77 | },
78 | "flags": {},
79 | "order": 5,
80 | "mode": 0,
81 | "inputs": [
82 | {
83 | "name": "clip",
84 | "type": "CLIP",
85 | "link": 17
86 | },
87 | {
88 | "name": "text",
89 | "type": "STRING",
90 | "link": 18,
91 | "widget": {
92 | "name": "text"
93 | }
94 | }
95 | ],
96 | "outputs": [
97 | {
98 | "name": "CONDITIONING",
99 | "type": "CONDITIONING",
100 | "links": [
101 | 13
102 | ],
103 | "shape": 3
104 | }
105 | ],
106 | "properties": {
107 | "Node name for S&R": "CLIPTextEncode"
108 | },
109 | "widgets_values": [
110 | "bad art"
111 | ]
112 | },
113 | {
114 | "id": 20,
115 | "type": "VAEDecode",
116 | "pos": [
117 | 1600,
118 | 450
119 | ],
120 | "size": {
121 | "0": 210,
122 | "1": 46
123 | },
124 | "flags": {},
125 | "order": 8,
126 | "mode": 0,
127 | "inputs": [
128 | {
129 | "name": "samples",
130 | "type": "LATENT",
131 | "link": 23
132 | },
133 | {
134 | "name": "vae",
135 | "type": "VAE",
136 | "link": 24
137 | }
138 | ],
139 | "outputs": [
140 | {
141 | "name": "IMAGE",
142 | "type": "IMAGE",
143 | "links": [
144 | 28,
145 | 29
146 | ],
147 | "shape": 3,
148 | "slot_index": 0
149 | }
150 | ],
151 | "properties": {
152 | "Node name for S&R": "VAEDecode"
153 | }
154 | },
155 | {
156 | "id": 23,
157 | "type": "ProjectorzOutput",
158 | "pos": [
159 | 1850,
160 | 450
161 | ],
162 | "size": {
163 | "0": 315,
164 | "1": 58
165 | },
166 | "flags": {},
167 | "order": 9,
168 | "mode": 0,
169 | "inputs": [
170 | {
171 | "name": "images",
172 | "type": "IMAGE",
173 | "link": 28
174 | }
175 | ],
176 | "properties": {
177 | "Node name for S&R": "ProjectorzOutput"
178 | },
179 | "widgets_values": [
180 | "ProjectorOutputBlob_KlYMuxgpch_"
181 | ]
182 | },
183 | {
184 | "id": 24,
185 | "type": "SaveImage",
186 | "pos": [
187 | 1850,
188 | 550
189 | ],
190 | "size": {
191 | "0": 315,
192 | "1": 270
193 | },
194 | "flags": {},
195 | "order": 10,
196 | "mode": 0,
197 | "inputs": [
198 | {
199 | "name": "images",
200 | "type": "IMAGE",
201 | "link": 29
202 | }
203 | ],
204 | "properties": {},
205 | "widgets_values": [
206 | "ComfyUI"
207 | ]
208 | },
209 | {
210 | "id": 26,
211 | "type": "ProjectorzParameter",
212 | "pos": [
213 | -150,
214 | 450
215 | ],
216 | "size": {
217 | "0": 315,
218 | "1": 82
219 | },
220 | "flags": {},
221 | "order": 0,
222 | "mode": 0,
223 | "outputs": [
224 | {
225 | "name": "STRING",
226 | "type": "STRING",
227 | "links": [
228 | 16
229 | ],
230 | "shape": 3,
231 | "slot_index": 0
232 | }
233 | ],
234 | "properties": {
235 | "Node name for S&R": "ProjectorzParameter"
236 | },
237 | "widgets_values": [
238 | "prompt",
239 | "wood_door"
240 | ]
241 | },
242 | {
243 | "id": 27,
244 | "type": "ProjectorzParameter",
245 | "pos": [
246 | -150,
247 | 700
248 | ],
249 | "size": {
250 | "0": 315,
251 | "1": 82
252 | },
253 | "flags": {},
254 | "order": 1,
255 | "mode": 0,
256 | "outputs": [
257 | {
258 | "name": "STRING",
259 | "type": "STRING",
260 | "links": [
261 | 18
262 | ],
263 | "shape": 3,
264 | "slot_index": 0
265 | }
266 | ],
267 | "properties": {
268 | "Node name for S&R": "ProjectorzParameter"
269 | },
270 | "widgets_values": [
271 | "negative_prompt",
272 | "bad art"
273 | ]
274 | },
275 | {
276 | "id": 12,
277 | "type": "CLIPTextEncode",
278 | "pos": [
279 | 250,
280 | 450
281 | ],
282 | "size": {
283 | "0": 400,
284 | "1": 200
285 | },
286 | "flags": {},
287 | "order": 4,
288 | "mode": 0,
289 | "inputs": [
290 | {
291 | "name": "clip",
292 | "type": "CLIP",
293 | "link": 15
294 | },
295 | {
296 | "name": "text",
297 | "type": "STRING",
298 | "link": 16,
299 | "widget": {
300 | "name": "text"
301 | }
302 | }
303 | ],
304 | "outputs": [
305 | {
306 | "name": "CONDITIONING",
307 | "type": "CONDITIONING",
308 | "links": [
309 | 31
310 | ],
311 | "shape": 3,
312 | "slot_index": 0
313 | }
314 | ],
315 | "properties": {
316 | "Node name for S&R": "CLIPTextEncode"
317 | },
318 | "widgets_values": [
319 | "wood door"
320 | ]
321 | },
322 | {
323 | "id": 19,
324 | "type": "CheckpointLoaderSimple",
325 | "pos": [
326 | -150,
327 | 300
328 | ],
329 | "size": {
330 | "0": 315,
331 | "1": 98
332 | },
333 | "flags": {},
334 | "order": 2,
335 | "mode": 0,
336 | "outputs": [
337 | {
338 | "name": "MODEL",
339 | "type": "MODEL",
340 | "links": [
341 | 11
342 | ],
343 | "shape": 3,
344 | "slot_index": 0
345 | },
346 | {
347 | "name": "CLIP",
348 | "type": "CLIP",
349 | "links": [
350 | 15,
351 | 17
352 | ],
353 | "shape": 3,
354 | "slot_index": 1
355 | },
356 | {
357 | "name": "VAE",
358 | "type": "VAE",
359 | "links": [
360 | 24,
361 | 33
362 | ],
363 | "shape": 3,
364 | "slot_index": 2
365 | }
366 | ],
367 | "properties": {
368 | "Node name for S&R": "CheckpointLoaderSimple"
369 | },
370 | "widgets_values": [
371 | "AOM3.safetensors"
372 | ]
373 | },
374 | {
375 | "id": 28,
376 | "type": "ProjectorzInitInput",
377 | "pos": [
378 | 250,
379 | 950
380 | ],
381 | "size": {
382 | "0": 315,
383 | "1": 102
384 | },
385 | "flags": {},
386 | "order": 3,
387 | "mode": 0,
388 | "outputs": [
389 | {
390 | "name": "IMAGE",
391 | "type": "IMAGE",
392 | "links": [
393 | 32
394 | ],
395 | "shape": 3,
396 | "slot_index": 0
397 | },
398 | {
399 | "name": "MASK",
400 | "type": "MASK",
401 | "links": [
402 | 34
403 | ],
404 | "shape": 3,
405 | "slot_index": 1
406 | }
407 | ],
408 | "properties": {
409 | "Node name for S&R": "ProjectorzInitInput"
410 | },
411 | "widgets_values": [
412 | 0,
413 | "ProjectorInitBlob_KlYMuxgpch_"
414 | ]
415 | },
416 | {
417 | "id": 29,
418 | "type": "VAEEncodeForInpaint",
419 | "pos": [
420 | 700,
421 | 950
422 | ],
423 | "size": {
424 | "0": 315,
425 | "1": 98
426 | },
427 | "flags": {},
428 | "order": 6,
429 | "mode": 0,
430 | "inputs": [
431 | {
432 | "name": "pixels",
433 | "type": "IMAGE",
434 | "link": 32
435 | },
436 | {
437 | "name": "vae",
438 | "type": "VAE",
439 | "link": 33
440 | },
441 | {
442 | "name": "mask",
443 | "type": "MASK",
444 | "link": 34
445 | }
446 | ],
447 | "outputs": [
448 | {
449 | "name": "LATENT",
450 | "type": "LATENT",
451 | "links": [
452 | 35
453 | ],
454 | "shape": 3,
455 | "slot_index": 0
456 | }
457 | ],
458 | "properties": {
459 | "Node name for S&R": "VAEEncodeForInpaint"
460 | },
461 | "widgets_values": [
462 | 0
463 | ]
464 | }
465 | ],
466 | "links": [
467 | [
468 | 11,
469 | 19,
470 | 0,
471 | 11,
472 | 0,
473 | "MODEL"
474 | ],
475 | [
476 | 13,
477 | 13,
478 | 0,
479 | 11,
480 | 2,
481 | "CONDITIONING"
482 | ],
483 | [
484 | 15,
485 | 19,
486 | 1,
487 | 12,
488 | 0,
489 | "CLIP"
490 | ],
491 | [
492 | 16,
493 | 26,
494 | 0,
495 | 12,
496 | 1,
497 | "STRING"
498 | ],
499 | [
500 | 17,
501 | 19,
502 | 1,
503 | 13,
504 | 0,
505 | "CLIP"
506 | ],
507 | [
508 | 18,
509 | 27,
510 | 0,
511 | 13,
512 | 1,
513 | "STRING"
514 | ],
515 | [
516 | 23,
517 | 11,
518 | 0,
519 | 20,
520 | 0,
521 | "LATENT"
522 | ],
523 | [
524 | 24,
525 | 19,
526 | 2,
527 | 20,
528 | 1,
529 | "VAE"
530 | ],
531 | [
532 | 28,
533 | 20,
534 | 0,
535 | 23,
536 | 0,
537 | "IMAGE"
538 | ],
539 | [
540 | 29,
541 | 20,
542 | 0,
543 | 24,
544 | 0,
545 | "IMAGE"
546 | ],
547 | [
548 | 31,
549 | 12,
550 | 0,
551 | 11,
552 | 1,
553 | "CONDITIONING"
554 | ],
555 | [
556 | 32,
557 | 28,
558 | 0,
559 | 29,
560 | 0,
561 | "IMAGE"
562 | ],
563 | [
564 | 33,
565 | 19,
566 | 2,
567 | 29,
568 | 1,
569 | "VAE"
570 | ],
571 | [
572 | 34,
573 | 28,
574 | 1,
575 | 29,
576 | 2,
577 | "MASK"
578 | ],
579 | [
580 | 35,
581 | 29,
582 | 0,
583 | 11,
584 | 3,
585 | "LATENT"
586 | ]
587 | ],
588 | "groups": [],
589 | "config": {},
590 | "extra": {
591 | "workspace_info": {
592 | "id": "YqwUc-glSs6ONzElPy_N4"
593 | }
594 | },
595 | "version": 0.4
596 | }
--------------------------------------------------------------------------------
/options.json:
--------------------------------------------------------------------------------
1 | {
2 | "samples_save": true,
3 | "samples_format": "png",
4 | "samples_filename_pattern": "",
5 | "save_images_add_number": true,
6 | "save_images_replace_action": "Replace",
7 | "grid_save": true,
8 | "grid_format": "png",
9 | "grid_extended_filename": false,
10 | "grid_only_if_multiple": true,
11 | "grid_prevent_empty_spots": false,
12 | "grid_zip_filename_pattern": "",
13 | "n_rows": -1.0,
14 | "font": "",
15 | "grid_text_active_color": "#000000",
16 | "grid_text_inactive_color": "#999999",
17 | "grid_background_color": "#ffffff",
18 | "save_images_before_face_restoration": false,
19 | "save_images_before_highres_fix": false,
20 | "save_images_before_color_correction": false,
21 | "save_mask": false,
22 | "save_mask_composite": false,
23 | "jpeg_quality": 80.0,
24 | "webp_lossless": false,
25 | "export_for_4chan": true,
26 | "img_downscale_threshold": 4.0,
27 | "target_side_length": 4000.0,
28 | "img_max_size_mp": 200.0,
29 | "use_original_name_batch": true,
30 | "use_upscaler_name_as_suffix": false,
31 | "save_selected_only": true,
32 | "save_init_img": false,
33 | "temp_dir": "",
34 | "clean_temp_dir_at_start": false,
35 | "save_incomplete_images": false,
36 | "notification_audio": true,
37 | "notification_volume": 100.0,
38 | "outdir_samples": "",
39 | "outdir_txt2img_samples": "output\\txt2img-images",
40 | "outdir_img2img_samples": "output\\img2img-images",
41 | "outdir_extras_samples": "output\\extras-images",
42 | "outdir_grids": "",
43 | "outdir_txt2img_grids": "output\\txt2img-grids",
44 | "outdir_img2img_grids": "output\\img2img-grids",
45 | "outdir_save": "log\\images",
46 | "outdir_init_images": "output\\init-images",
47 | "save_to_dirs": true,
48 | "grid_save_to_dirs": true,
49 | "use_save_to_dirs_for_ui": false,
50 | "directories_filename_pattern": "[date]",
51 | "directories_max_prompt_words": 8.0,
52 | "ESRGAN_tile": 192.0,
53 | "ESRGAN_tile_overlap": 8.0,
54 | "realesrgan_enabled_models": [
55 | "R-ESRGAN 4x+",
56 | "R-ESRGAN 4x+ Anime6B"
57 | ],
58 | "dat_enabled_models": [
59 | "DAT x2",
60 | "DAT x3",
61 | "DAT x4"
62 | ],
63 | "DAT_tile": 192.0,
64 | "DAT_tile_overlap": 8.0,
65 | "upscaler_for_img2img": "R-ESRGAN 4x+",
66 | "face_restoration": false,
67 | "face_restoration_model": "CodeFormer",
68 | "code_former_weight": 0.5,
69 | "face_restoration_unload": false,
70 | "auto_launch_browser": "Local",
71 | "enable_console_prompts": false,
72 | "show_warnings": false,
73 | "show_gradio_deprecation_warnings": true,
74 | "memmon_poll_rate": 8.0,
75 | "samples_log_stdout": false,
76 | "multiple_tqdm": true,
77 | "enable_upscale_progressbar": true,
78 | "print_hypernet_extra": false,
79 | "list_hidden_files": true,
80 | "disable_mmap_load_safetensors": false,
81 | "hide_ldm_prints": true,
82 | "dump_stacks_on_signal": false,
83 | "api_enable_requests": true,
84 | "api_forbid_local_requests": true,
85 | "api_useragent": "",
86 | "unload_models_when_training": false,
87 | "pin_memory": false,
88 | "save_optimizer_state": false,
89 | "save_training_settings_to_txt": true,
90 | "dataset_filename_word_regex": "",
91 | "dataset_filename_join_string": " ",
92 | "training_image_repeats_per_epoch": 1.0,
93 | "training_write_csv_every": 500.0,
94 | "training_xattention_optimizations": false,
95 | "training_enable_tensorboard": false,
96 | "training_tensorboard_save_images": false,
97 | "training_tensorboard_flush_every": 120.0,
98 | "sd_model_checkpoint": "Configure In ComfyUI",
99 | "sd_checkpoints_limit": 1.0,
100 | "sd_checkpoints_keep_in_cpu": true,
101 | "sd_checkpoint_cache": 0,
102 | "sd_unet": "Automatic",
103 | "enable_quantization": false,
104 | "emphasis": "Original",
105 | "enable_batch_seeds": true,
106 | "comma_padding_backtrack": 20.0,
107 | "CLIP_stop_at_last_layers": 1.0,
108 | "upcast_attn": false,
109 | "randn_source": "GPU",
110 | "tiling": false,
111 | "hires_fix_refiner_pass": "first pass",
112 | "sdxl_crop_top": 0.0,
113 | "sdxl_crop_left": 0.0,
114 | "sdxl_refiner_low_aesthetic_score": 2.5,
115 | "sdxl_refiner_high_aesthetic_score": 6.0,
116 | "sd_vae_explanation": "VAE is a neural network that transforms a standard RGB\nimage into latent space representation and back. Latent space representation is what stable diffusion is working on during sampling\n(i.e. when the progress bar is between empty and full). For txt2img, VAE is used to create a resulting image after the sampling is finished.\nFor img2img, VAE is used to process user's input image before the sampling, and to create an image after sampling.",
117 | "sd_vae_checkpoint_cache": 0,
118 | "sd_vae": "None",
119 | "sd_vae_overrides_per_model_preferences": true,
120 | "auto_vae_precision_bfloat16": false,
121 | "auto_vae_precision": true,
122 | "sd_vae_encode_method": "Full",
123 | "sd_vae_decode_method": "Full",
124 | "inpainting_mask_weight": 1.0,
125 | "initial_noise_multiplier": 1.0,
126 | "img2img_extra_noise": 0,
127 | "img2img_color_correction": false,
128 | "img2img_fix_steps": false,
129 | "img2img_background_color": "#ffffff",
130 | "img2img_editor_height": 720.0,
131 | "img2img_sketch_default_brush_color": "#ffffff",
132 | "img2img_inpaint_mask_brush_color": "#ffffff",
133 | "img2img_inpaint_sketch_default_brush_color": "#ffffff",
134 | "return_mask": false,
135 | "return_mask_composite": false,
136 | "img2img_batch_show_results_limit": 32.0,
137 | "overlay_inpaint": true,
138 | "cross_attention_optimization": "Automatic",
139 | "s_min_uncond": 0,
140 | "token_merging_ratio": 0,
141 | "token_merging_ratio_img2img": 0,
142 | "token_merging_ratio_hr": 0,
143 | "pad_cond_uncond": false,
144 | "pad_cond_uncond_v0": false,
145 | "persistent_cond_cache": true,
146 | "batch_cond_uncond": true,
147 | "fp8_storage": "Disable",
148 | "cache_fp16_weight": false,
149 | "auto_backcompat": true,
150 | "use_old_emphasis_implementation": false,
151 | "use_old_karras_scheduler_sigmas": false,
152 | "no_dpmpp_sde_batch_determinism": false,
153 | "use_old_hires_fix_width_height": false,
154 | "dont_fix_second_order_samplers_schedule": false,
155 | "hires_fix_use_firstpass_conds": false,
156 | "use_old_scheduling": false,
157 | "use_downcasted_alpha_bar": false,
158 | "interrogate_keep_models_in_memory": false,
159 | "interrogate_return_ranks": false,
160 | "interrogate_clip_num_beams": 1.0,
161 | "interrogate_clip_min_length": 24.0,
162 | "interrogate_clip_max_length": 48.0,
163 | "interrogate_clip_dict_limit": 1500.0,
164 | "interrogate_clip_skip_categories": [],
165 | "interrogate_deepbooru_score_threshold": 0.5,
166 | "deepbooru_sort_alpha": true,
167 | "deepbooru_use_spaces": true,
168 | "deepbooru_escape": true,
169 | "deepbooru_filter_tags": "",
170 | "extra_networks_show_hidden_directories": true,
171 | "extra_networks_dir_button_function": false,
172 | "extra_networks_hidden_models": "When searched",
173 | "extra_networks_default_multiplier": 1.0,
174 | "extra_networks_card_width": 0.0,
175 | "extra_networks_card_height": 0.0,
176 | "extra_networks_card_text_scale": 1.0,
177 | "extra_networks_card_show_desc": true,
178 | "extra_networks_card_description_is_html": false,
179 | "extra_networks_card_order_field": "Path",
180 | "extra_networks_card_order": "Ascending",
181 | "extra_networks_tree_view_default_enabled": false,
182 | "extra_networks_add_text_separator": " ",
183 | "ui_extra_networks_tab_reorder": "",
184 | "textual_inversion_print_at_load": false,
185 | "textual_inversion_add_hashes_to_infotext": true,
186 | "sd_hypernetwork": "None",
187 | "keyedit_precision_attention": 0.1,
188 | "keyedit_precision_extra": 0.05,
189 | "keyedit_delimiters": ".,\/!?%^*;:{}=`~() ",
190 | "keyedit_delimiters_whitespace": [
191 | "Tab",
192 | "Carriage Return",
193 | "Line Feed"
194 | ],
195 | "keyedit_move": true,
196 | "disable_token_counters": false,
197 | "include_styles_into_token_counters": true,
198 | "return_grid": true,
199 | "do_not_show_images": false,
200 | "js_modal_lightbox": true,
201 | "js_modal_lightbox_initially_zoomed": true,
202 | "js_modal_lightbox_gamepad": false,
203 | "js_modal_lightbox_gamepad_repeat": 250.0,
204 | "sd_webui_modal_lightbox_icon_opacity": 1.0,
205 | "sd_webui_modal_lightbox_toolbar_opacity": 0.9,
206 | "gallery_height": "",
207 | "open_dir_button_choice": "Subdirectory",
208 | "compact_prompt_box": false,
209 | "samplers_in_dropdown": true,
210 | "dimensions_and_batch_together": true,
211 | "sd_checkpoint_dropdown_use_short": false,
212 | "hires_fix_show_sampler": false,
213 | "hires_fix_show_prompts": false,
214 | "txt2img_settings_accordion": false,
215 | "img2img_settings_accordion": false,
216 | "interrupt_after_current": true,
217 | "localization": "None",
218 | "quicksettings_list": [
219 | "sd_model_checkpoint",
220 | "sd_vae",
221 | "CLIP_stop_at_last_layers"
222 | ],
223 | "ui_tab_order": [],
224 | "hidden_tabs": [],
225 | "ui_reorder_list": [],
226 | "gradio_theme": "Default",
227 | "gradio_themes_cache": true,
228 | "show_progress_in_title": true,
229 | "send_seed": true,
230 | "send_size": true,
231 | "infotext_explanation": "Infotext is what this software calls the text that contains generation parameters and can be used to generate the same picture again.\nIt is displayed in UI below the image. To use infotext, paste it into the prompt and click the ↙ paste button.",
232 | "enable_pnginfo": true,
233 | "save_txt": false,
234 | "add_model_name_to_info": true,
235 | "add_model_hash_to_info": true,
236 | "add_vae_name_to_info": true,
237 | "add_vae_hash_to_info": true,
238 | "add_user_name_to_info": false,
239 | "add_version_to_infotext": true,
240 | "disable_weights_auto_swap": true,
241 | "infotext_skip_pasting": [],
242 | "infotext_styles": "Apply if any",
243 | "show_progressbar": true,
244 | "live_previews_enable": true,
245 | "live_previews_image_format": "png",
246 | "show_progress_grid": true,
247 | "show_progress_every_n_steps": 10.0,
248 | "show_progress_type": "Approx NN",
249 | "live_preview_allow_lowvram_full": false,
250 | "live_preview_content": "Prompt",
251 | "live_preview_refresh_period": 1000.0,
252 | "live_preview_fast_interrupt": false,
253 | "js_live_preview_in_modal_lightbox": false,
254 | "hide_samplers": [],
255 | "eta_ddim": 0,
256 | "eta_ancestral": 1.0,
257 | "ddim_discretize": "uniform",
258 | "s_churn": 0,
259 | "s_tmin": 0,
260 | "s_tmax": 0,
261 | "s_noise": 1.0,
262 | "k_sched_type": "Automatic",
263 | "sigma_min": 0.0,
264 | "sigma_max": 0.0,
265 | "rho": 0.0,
266 | "eta_noise_seed_delta": 0,
267 | "always_discard_next_to_last_sigma": false,
268 | "sgm_noise_multiplier": false,
269 | "uni_pc_variant": "bh1",
270 | "uni_pc_skip_type": "time_uniform",
271 | "uni_pc_order": 3.0,
272 | "uni_pc_lower_order_final": true,
273 | "sd_noise_schedule": "Default",
274 | "postprocessing_enable_in_main_ui": [],
275 | "postprocessing_operation_order": [],
276 | "upscaling_max_images_in_cache": 5.0,
277 | "postprocessing_existing_caption_action": "Ignore",
278 | "disabled_extensions": [],
279 | "disable_all_extensions": "none",
280 | "restore_config_state_file": "",
281 | "sd_checkpoint_hash": "d124fc18f0232d7f0a2a70358cdb1288af9e1ee8596200f50f0936be59514f6d",
282 | "sd_lora": "None",
283 | "lora_preferred_name": "Alias from file",
284 | "lora_add_hashes_to_infotext": true,
285 | "lora_show_all": false,
286 | "lora_hide_unknown_for_versions": [],
287 | "lora_in_memory_limit": 0,
288 | "lora_not_found_warning_console": false,
289 | "lora_not_found_gradio_warning": false,
290 | "lora_functional": false,
291 | "canvas_hotkey_zoom": "Alt",
292 | "canvas_hotkey_adjust": "Ctrl",
293 | "canvas_hotkey_shrink_brush": "Q",
294 | "canvas_hotkey_grow_brush": "W",
295 | "canvas_hotkey_move": "F",
296 | "canvas_hotkey_fullscreen": "S",
297 | "canvas_hotkey_reset": "R",
298 | "canvas_hotkey_overlap": "O",
299 | "canvas_show_tooltip": true,
300 | "canvas_auto_expand": true,
301 | "canvas_blur_prompt": false,
302 | "canvas_disabled_functions": [
303 | "Overlap"
304 | ],
305 | "settings_in_ui": "This page allows you to add some settings to the main interface of txt2img and img2img tabs.",
306 | "extra_options_txt2img": [],
307 | "extra_options_img2img": [],
308 | "extra_options_cols": 1.0,
309 | "extra_options_accordion": false
310 | }
--------------------------------------------------------------------------------
/samples/ProjectorzGen_Sample.json:
--------------------------------------------------------------------------------
1 | {
2 | "last_node_id": 47,
3 | "last_link_id": 52,
4 | "nodes": [
5 | {
6 | "id": 35,
7 | "type": "ProjectorzParameter",
8 | "pos": [
9 | -150,
10 | 1350
11 | ],
12 | "size": {
13 | "0": 315,
14 | "1": 82
15 | },
16 | "flags": {},
17 | "order": 0,
18 | "mode": 0,
19 | "outputs": [
20 | {
21 | "name": "STRING",
22 | "type": "STRING",
23 | "links": [
24 | 35
25 | ],
26 | "shape": 3,
27 | "slot_index": 0
28 | }
29 | ],
30 | "properties": {
31 | "Node name for S&R": "ProjectorzParameter"
32 | },
33 | "widgets_values": [
34 | "width",
35 | 512
36 | ]
37 | },
38 | {
39 | "id": 36,
40 | "type": "ProjectorzParameter",
41 | "pos": [
42 | -150,
43 | 1500
44 | ],
45 | "size": {
46 | "0": 315,
47 | "1": 82
48 | },
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585 | "embreex==2.17.7.post4",
586 | "exceptiongroup==1.2.1",
587 | "facexlib==0.3.0",
588 | "fastapi-cli==0.0.3",
589 | "fastapi==0.94.0",
590 | "ffmpy==0.3.2",
591 | "filelock==3.14.0",
592 | "filterpy==1.4.5",
593 | "flatbuffers==24.3.25",
594 | "fonttools==4.51.0",
595 | "frozenlist==1.4.1",
596 | "fsspec==2024.3.1",
597 | "ftfy==6.2.0",
598 | "future==1.0.0",
599 | "fvcore==0.1.5.post20221221",
600 | "gitdb==4.0.11",
601 | "gitpython==3.1.32",
602 | "gradio-client==0.5.0",
603 | "gradio==3.41.2",
604 | "grpcio==1.63.0",
605 | "h11==0.12.0",
606 | "handrefinerportable==2024.2.12.0",
607 | "httpcore==0.15.0",
608 | "httptools==0.6.1",
609 | "httpx==0.24.1",
610 | "huggingface-hub==0.23.0",
611 | "humanfriendly==10.0",
612 | "idna==3.7",
613 | "imageio==2.34.1",
614 | "importlib-metadata==7.1.0",
615 | "importlib-resources==6.4.0",
616 | "inflection==0.5.1",
617 | "insightface==0.7.3",
618 | "iopath==0.1.9",
619 | "jax==0.4.28",
620 | "jaxlib==0.4.28",
621 | "jinja2==3.1.4",
622 | "joblib==1.4.2",
623 | "jsonmerge==1.8.0",
624 | "jsonschema-specifications==2023.12.1",
625 | "jsonschema==4.22.0",
626 | "kiwisolver==1.4.5",
627 | "kornia==0.6.7",
628 | "lark==1.1.2",
629 | "lazy-loader==0.4",
630 | "lightning-utilities==0.11.2",
631 | "llvmlite==0.42.0",
632 | "lmdb==1.4.1",
633 | "lxml==5.2.1",
634 | "mapbox-earcut==1.0.1",
635 | "markdown-it-py==3.0.0",
636 | "markdown==3.6",
637 | "markupsafe==2.1.5",
638 | "matplotlib==3.8.4",
639 | "mdurl==0.1.2",
640 | "mediapipe==0.10.14",
641 | "ml-dtypes==0.4.0",
642 | "mpmath==1.3.0",
643 | "multidict==6.0.5",
644 | "networkx==3.3",
645 | "numba==0.59.1",
646 | "numpy==1.26.2",
647 | "omegaconf==2.2.3",
648 | "onnx==1.16.0",
649 | "onnxruntime==1.17.3",
650 | "open-clip-torch==2.20.0",
651 | "opencv-contrib-python==4.9.0.80",
652 | "opencv-python-headless==4.9.0.80",
653 | "opencv-python==4.9.0.80",
654 | "opt-einsum==3.3.0",
655 | "orjson==3.10.3",
656 | "packaging==24.0",
657 | "pandas==2.2.2",
658 | "piexif==1.1.3",
659 | "pillow==9.5.0",
660 | "pip==22.0.4",
661 | "platformdirs==4.2.1",
662 | "portalocker==2.8.2",
663 | "pretty-errors==1.2.25",
664 | "prettytable==3.10.0",
665 | "protobuf==3.20.3",
666 | "psutil==5.9.5",
667 | "pycollada==0.8",
668 | "pycparser==2.22",
669 | "pydantic-core==2.18.2",
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671 | "pydub==0.25.1",
672 | "pygments==2.18.0",
673 | "pyparsing==3.1.2",
674 | "pyreadline3==3.4.1",
675 | "python-dateutil==2.9.0.post0",
676 | "python-dotenv==1.0.1",
677 | "python-multipart==0.0.9",
678 | "pytorch-lightning==1.9.4",
679 | "pytz==2024.1",
680 | "pywavelets==1.6.0",
681 | "pywin32==306",
682 | "pyyaml==6.0.1",
683 | "referencing==0.35.1",
684 | "regex==2024.5.10",
685 | "reportlab==4.2.0",
686 | "requests==2.31.0",
687 | "resize-right==0.0.2",
688 | "rich==13.7.1",
689 | "rpds-py==0.18.1",
690 | "rtree==1.2.0",
691 | "safetensors==0.4.2",
692 | "scikit-image==0.21.0",
693 | "scikit-learn==1.4.2",
694 | "scipy==1.13.0",
695 | "semantic-version==2.10.0",
696 | "sentencepiece==0.2.0",
697 | "setuptools==58.1.0",
698 | "shapely==2.0.4",
699 | "shellingham==1.5.4",
700 | "six==1.16.0",
701 | "smmap==5.0.1",
702 | "sniffio==1.3.1",
703 | "sounddevice==0.4.6",
704 | "spandrel==0.1.6",
705 | "starlette==0.26.1",
706 | "svg.path==6.3",
707 | "svglib==1.5.1",
708 | "sympy==1.12",
709 | "tabulate==0.9.0",
710 | "tb-nightly==2.17.0a20240512",
711 | "tensorboard-data-server==0.7.2",
712 | "termcolor==2.4.0",
713 | "threadpoolctl==3.5.0",
714 | "tifffile==2024.5.10",
715 | "timm==0.9.16",
716 | "tinycss2==1.3.0",
717 | "tokenizers==0.13.3",
718 | "tomesd==0.1.3",
719 | "tomli==2.0.1",
720 | "toolz==0.12.1",
721 | "torch==2.1.2+cu121",
722 | "torchdiffeq==0.2.3",
723 | "torchmetrics==1.4.0",
724 | "torchsde==0.2.6",
725 | "torchvision==0.16.2+cu121",
726 | "tqdm==4.66.4",
727 | "trampoline==0.1.2",
728 | "transformers==4.30.2",
729 | "trimesh==4.3.2",
730 | "typer==0.12.3",
731 | "typing-extensions==4.11.0",
732 | "tzdata==2024.1",
733 | "ujson==5.9.0",
734 | "urllib3==2.2.1",
735 | "uvicorn==0.29.0",
736 | "vhacdx==0.0.6",
737 | "watchfiles==0.21.0",
738 | "wcwidth==0.2.13",
739 | "webencodings==0.5.1",
740 | "websockets==11.0.3",
741 | "werkzeug==3.0.3",
742 | "xatlas==0.0.9",
743 | "xformers==0.0.23.post1",
744 | "xxhash==3.4.1",
745 | "yacs==0.1.8",
746 | "yapf==0.40.2",
747 | "yarl==1.9.4",
748 | "zipp==3.18.1"
749 | ]
750 | }
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1297 | },
1298 | {
1299 | "title": "TripoSR\\triposr.ckpt",
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1306 | {
1307 | "title": "VAE\\kl-f8-anime2.ckpt",
1308 | "model_name": "VAE_kl-f8-anime2",
1309 | "hash": null,
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1312 | "config": null
1313 | },
1314 | {
1315 | "title": "VAE\\vae-ft-mse-840000-ema-pruned.ckpt",
1316 | "model_name": "VAE_vae-ft-mse-840000-ema-pruned",
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1321 | }
1322 | ]
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