Add custom nodes, Civitai loras (LFS), and vast.ai setup script
Some checks failed
Python Linting / Run Ruff (push) Has been cancelled
Python Linting / Run Pylint (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.10, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.11, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.12, [self-hosted Linux], stable) (push) Has been cancelled
Full Comfy CI Workflow Runs / test-unix-nightly (12.1, , linux, 3.11, [self-hosted Linux], nightly) (push) Has been cancelled
Execution Tests / test (macos-latest) (push) Has been cancelled
Execution Tests / test (ubuntu-latest) (push) Has been cancelled
Execution Tests / test (windows-latest) (push) Has been cancelled
Test server launches without errors / test (push) Has been cancelled
Unit Tests / test (macos-latest) (push) Has been cancelled
Unit Tests / test (ubuntu-latest) (push) Has been cancelled
Unit Tests / test (windows-2022) (push) Has been cancelled

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-09 00:55:26 +00:00
parent 2b70ab9ad0
commit f09734b0ee
2274 changed files with 748556 additions and 3 deletions

View File

@@ -0,0 +1,21 @@
{
"imageio-ffmpeg": "imageio",
"imageio[ffmpeg]": "imageio",
"imageio_ffmpeg": "imageio",
"diffusers~=0.21.4": "diffusers",
"huggingface_hub": "huggingface-hub",
"numpy<1.24>=1.18": "numpy==1.26.4",
"numpy>=1.18.5, <1.25.0": "numpy==1.26.4",
"opencv-contrib-python": "opencv-contrib-python-headless",
"opencv-python": "opencv-contrib-python-headless",
"opencv-python-headless": "opencv-contrib-python-headless",
"opencv-python-headless[ffmpeg]<=4.7.0.72": "opencv-contrib-python-headless",
"opencv-python>=4.7.0.72": "opencv-contrib-python-headless",
"pandas<=1.5.1": "pandas",
"scikit-image==0.20.0": "scikit-image",
"scipy>=1.11.4": "scipy",
"segment_anything": "segment-anything",
"timm==0.6.5": "timm",
"timm>=0.4.12": "timm",
"transformers==4.26.1": "transformers"
}