ComfyUI-AniPortrait
ComfyUI [a/AniPortrait](https://github.com/Zejun-Yang/AniPortrait)
How much VRAM does ComfyUI-AniPortrait require?
Direct Answer: The ComfyUI node ComfyUI-AniPortrait 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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What Python packages are required for ComfyUI-AniPortrait?
Direct Answer: Running ComfyUI-AniPortrait requires installing the following Python package dependencies: accelerate, av, clip@ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip#sha256=b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a, controlnet-aux, decord, diffusers>=0.26.3, einops, ffmpeg-python, imageio, imageio-ffmpeg, librosa, mediapipe, omegaconf, onnxruntime-gpu, open-clip-torch, opencv-contrib-python, opencv-python. Ensure your ComfyUI environment has these packages active before launching.
accelerate
av
clip@ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip#sha256=b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
controlnet-aux
decord
diffusers>=0.26.3
einops
ffmpeg-python
imageio
imageio-ffmpeg
librosa
mediapipe
omegaconf
onnxruntime-gpu
open-clip-torch
opencv-contrib-python
opencv-pythonInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-AniPortrait require?
ComfyUI-AniPortrait 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-AniPortrait 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-AniPortrait need?
ComfyUI-AniPortrait requires the following PyTorch-related packages: open-clip-torch. 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-AniPortrait?
To run ComfyUI-AniPortrait, you need to install: accelerate, av, clip@ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip#sha256=b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a, controlnet-aux, decord, diffusers>=0.26.3, einops, ffmpeg-python, imageio, imageio-ffmpeg, librosa, mediapipe, omegaconf, onnxruntime-gpu, open-clip-torch, opencv-contrib-python, opencv-python. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-AniPortrait?
ComfyUI-AniPortrait 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-AniPortrait in ComfyUI?
To install ComfyUI-AniPortrait: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/chaojie/ComfyUI-AniPortrait, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.