VideoSys-ComfyUI
NODES:TextNode, PreViewVideo, VideoSysNode.
How much VRAM does VideoSys-ComfyUI require?
Direct Answer: The ComfyUI node VideoSys-ComfyUI 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not 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 VideoSys-ComfyUI?
Direct Answer: Running VideoSys-ComfyUI requires installing the following Python package dependencies: click, colossalai, contexttimer, diffusers==0.30.0, einops, fabric, ftfy, imageio, imageio-ffmpeg, matplotlib, ninja, numpy, omegaconf, packaging, psutil, pydantic, ray, rich, safetensors, timm, torch>=1.13, tqdm, transformers. This node specifically requires PyTorch version 1.13 or newer.
click
colossalai
contexttimer
diffusers==0.30.0
einops
fabric
ftfy
imageio
imageio-ffmpeg
matplotlib
ninja
numpy
omegaconf
packaging
psutil
pydantic
ray
rich
safetensors
timm
torch>=1.13
tqdm
transformersInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.13+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does VideoSys-ComfyUI require?
VideoSys-ComfyUI 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 VideoSys-ComfyUI 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 VideoSys-ComfyUI need?
VideoSys-ComfyUI requires the following PyTorch-related packages: torch>=1.13. 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 VideoSys-ComfyUI?
To run VideoSys-ComfyUI, you need to install: click, colossalai, contexttimer, diffusers==0.30.0, einops, fabric, ftfy, imageio, imageio-ffmpeg, matplotlib, ninja, numpy, omegaconf, packaging, psutil, pydantic, ray, rich, safetensors, timm, torch>=1.13, tqdm, transformers. You can install these using pip or add them to your requirements.txt file.
How do I install VideoSys-ComfyUI in ComfyUI?
To install VideoSys-ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/AIFSH/VideoSys-ComfyUI, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.