ComfyUI-LayerAnimate
ComfyUI nodes for LayerAnimate model.
How much VRAM does ComfyUI-LayerAnimate require?
Direct Answer: The ComfyUI node ComfyUI-LayerAnimate 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
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.
Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for ComfyUI-LayerAnimate?
Direct Answer: Running ComfyUI-LayerAnimate requires installing the following Python package dependencies: accelerate==0.31.0, decord==0.6.0, deepspeed, diffusers==0.30.2, einops, gradio==5.23.0, imageio==2.27.0, imageio-ffmpeg==0.4.9, omegaconf==2.3.0, open_clip_torch==2.22.0, opencv-python, pycocotools, safetensors, scipy, spaces==0.32.0, torch==2.3.1, torchvision==0.18.1, transformers==4.25.1, wandb, xformers==0.0.27. Ensure your ComfyUI environment has these packages active before launching.
accelerate==0.31.0
decord==0.6.0
deepspeed
diffusers==0.30.2
einops
gradio==5.23.0
imageio==2.27.0
imageio-ffmpeg==0.4.9
omegaconf==2.3.0
open_clip_torch==2.22.0
opencv-python
pycocotools
safetensors
scipy
spaces==0.32.0
torch==2.3.1
torchvision==0.18.1
transformers==4.25.1
wandb
xformers==0.0.27Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-LayerAnimate require?
ComfyUI-LayerAnimate 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-LayerAnimate 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-LayerAnimate need?
ComfyUI-LayerAnimate requires the following PyTorch-related packages: open_clip_torch==2.22.0, torch==2.3.1, torchvision==0.18.1. 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-LayerAnimate?
To run ComfyUI-LayerAnimate, you need to install: accelerate==0.31.0, decord==0.6.0, deepspeed, diffusers==0.30.2, einops, gradio==5.23.0, imageio==2.27.0, imageio-ffmpeg==0.4.9, omegaconf==2.3.0, open_clip_torch==2.22.0, opencv-python, pycocotools, safetensors, scipy, spaces==0.32.0, torch==2.3.1, torchvision==0.18.1, transformers==4.25.1, wandb, xformers==0.0.27. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-LayerAnimate?
ComfyUI-LayerAnimate 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-LayerAnimate in ComfyUI?
To install ComfyUI-LayerAnimate: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-LayerAnimate, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.