ComfyUI-Open-Sora-Plan
ComfyUI node for [a/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan)
How much VRAM does ComfyUI-Open-Sora-Plan require?
Direct Answer: The ComfyUI node ComfyUI-Open-Sora-Plan requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-Open-Sora-Plan?
Direct Answer: Running ComfyUI-Open-Sora-Plan requires installing the following Python package dependencies: accelerate, albumentations, av, beautifulsoup4, decord, diffusers, einops, ftfy, gdown, h5py, idna, imageio, imageio-ffmpeg, matplotlib, moviepy, omegaconf, opencv-python, opencv-python-headless, pandas, pillow, pydub, pytorch-lightning, pytorchvideo, pyyaml, regex, requests, scikit-learn, scikit-video, scipy, sentencepiece, six, tensorboard, test-tube, timm, torchdiffeq, torchmetrics, tqdm, urllib3, uvicorn, wandb. Ensure your ComfyUI environment has these packages active before launching.
accelerate
albumentations
av
beautifulsoup4
decord
diffusers
einops
ftfy
gdown
h5py
idna
imageio
imageio-ffmpeg
matplotlib
moviepy
omegaconf
opencv-python
opencv-python-headless
pandas
pillow
pydub
pytorch-lightning
pytorchvideo
pyyaml
regex
requests
scikit-learn
scikit-video
scipy
sentencepiece
six
tensorboard
test-tube
timm
torchdiffeq
torchmetrics
tqdm
urllib3
uvicorn
wandbInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Open-Sora-Plan require?
ComfyUI-Open-Sora-Plan requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-Open-Sora-Plan on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does ComfyUI-Open-Sora-Plan need?
ComfyUI-Open-Sora-Plan requires the following PyTorch-related packages: pytorch-lightning, pytorchvideo, torchdiffeq, torchmetrics. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI-Open-Sora-Plan?
To run ComfyUI-Open-Sora-Plan, you need to install: accelerate, albumentations, av, beautifulsoup4, decord, diffusers, einops, ftfy, gdown, h5py, idna, imageio, imageio-ffmpeg, matplotlib, moviepy, omegaconf, opencv-python, opencv-python-headless, pandas, pillow, pydub, pytorch-lightning, pytorchvideo, pyyaml, regex, requests, scikit-learn, scikit-video, scipy, sentencepiece, six, tensorboard, test-tube, timm, torchdiffeq, torchmetrics, tqdm, urllib3, uvicorn, wandb. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Open-Sora-Plan?
ComfyUI-Open-Sora-Plan supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI-Open-Sora-Plan in ComfyUI?
To install ComfyUI-Open-Sora-Plan: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/chaojie/ComfyUI-Open-Sora-Plan, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.