ComfyUI-I2VGEN-XL
This is an implementation of [a/i2vgen-xl](https://github.com/ali-vilab/i2vgen-xl)
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-I2VGEN-XL 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running ComfyUI-I2VGEN-XL requires installing the following Python package dependencies: chardet>=5.1.0, easydict>=1.10, fairscale>=0.4.6, ftfy>=6.1.1, imageio>=2.15.0, imageio-ffmpeg, ipdb, numpy>=1.19.2, open-clip-torch>=2.0.2, opencv-python>=4.4.0.46, opencv-python-headless>=4.7.0.68, pynvml>=11.5.0, pytorch-lightning>=1.4.2, rotary-embedding-torch>=0.2.1, scikit-image, scikit-learn, simplejson>=3.18.4, tokenizers>=0.12.1, torchdiffeq>=0.2.3, torchmetrics>=0.6.0, torchsde>=0.2.6, transformers>=4.18.0, xformers>=0.0.13. Ensure your ComfyUI environment has these packages active before launching.
chardet>=5.1.0
easydict>=1.10
fairscale>=0.4.6
ftfy>=6.1.1
imageio>=2.15.0
imageio-ffmpeg
ipdb
numpy>=1.19.2
open-clip-torch>=2.0.2
opencv-python>=4.4.0.46
opencv-python-headless>=4.7.0.68
pynvml>=11.5.0
pytorch-lightning>=1.4.2
rotary-embedding-torch>=0.2.1
scikit-image
scikit-learn
simplejson>=3.18.4
tokenizers>=0.12.1
torchdiffeq>=0.2.3
torchmetrics>=0.6.0
torchsde>=0.2.6
transformers>=4.18.0
xformers>=0.0.13🛠️ Interactive Setup & Dependency Resolver
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