ComfyUI-UniAnimate-W

By Isi-devView on GitHub →

These are nodes to animate an image with a reference video using UniAnimate.

How much VRAM does ComfyUI-UniAnimate-W require?

Direct Answer: The ComfyUI node ComfyUI-UniAnimate-W requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-UniAnimate-W?

Direct Answer: Running ComfyUI-UniAnimate-W requires installing the following Python package dependencies: args, easydict==1.11, einops==0.7.0, fairscale==0.4.13, imageio==2.33.1, lightning_fabric==2.3.0, lightning_utilities==0.10.0, matplotlib>=3.8.2, numpy==1.26.0, onnxruntime==1.18.0, open-clip-torch==2.24.0, opencv-python==4.9.0.80, pytorch_lightning==2.3.0, torchmetrics==1.3.0.post0, xformers==0.0.27. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
args
easydict==1.11
einops==0.7.0
fairscale==0.4.13
imageio==2.33.1
lightning_fabric==2.3.0
lightning_utilities==0.10.0
matplotlib>=3.8.2
numpy==1.26.0
onnxruntime==1.18.0
open-clip-torch==2.24.0
opencv-python==4.9.0.80
pytorch_lightning==2.3.0
torchmetrics==1.3.0.post0
xformers==0.0.27

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-Animation_Nodes_and_Workflows
by Isi-dev4.0GB VRAM
ComfyUI-Img2DrawingAssistants
by Isi-dev128MB VRAM
ComfyUI_DeleteModelPassthrough
by Isi-dev256MB VRAM
Image to Painting and Inspyrenet Assistant Nodes
by Isi-dev4.0GB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-UniAnimate-W require?

ComfyUI-UniAnimate-W requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-UniAnimate-W on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-UniAnimate-W need?

ComfyUI-UniAnimate-W requires the following PyTorch-related packages: open-clip-torch==2.24.0, pytorch_lightning==2.3.0, torchmetrics==1.3.0.post0. 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-UniAnimate-W?

To run ComfyUI-UniAnimate-W, you need to install: args, easydict==1.11, einops==0.7.0, fairscale==0.4.13, imageio==2.33.1, lightning_fabric==2.3.0, lightning_utilities==0.10.0, matplotlib>=3.8.2, numpy==1.26.0, onnxruntime==1.18.0, open-clip-torch==2.24.0, opencv-python==4.9.0.80, pytorch_lightning==2.3.0, torchmetrics==1.3.0.post0, xformers==0.0.27. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-UniAnimate-W in ComfyUI?

To install ComfyUI-UniAnimate-W: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Isi-dev/ComfyUI-UniAnimate-W, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.