ComfyUI-UNO

By Yuan-ManXView on GitHub →

ComfyUI nodes for UNO model.

How much VRAM does ComfyUI-UNO require?

Direct Answer: The ComfyUI node ComfyUI-UNO 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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!

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What Python packages are required for ComfyUI-UNO?

Direct Answer: Running ComfyUI-UNO requires installing the following Python package dependencies: accelerate==1.1.1, deepspeed==0.14.4, diffusers==0.30.1, einops==0.8.0, gradio==5.22.0, huggingface-hub, sentencepiece==0.2.0, torch==2.4.0, torchvision==0.19.0, transformers==4.43.3. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate==1.1.1
deepspeed==0.14.4
diffusers==0.30.1
einops==0.8.0
gradio==5.22.0
huggingface-hub
sentencepiece==0.2.0
torch==2.4.0
torchvision==0.19.0
transformers==4.43.3

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:

Anima Adapter Loader
by sorryhyun128MB VRAM
Anima LoRA Comparison
by yunqiankuangyu128MB VRAM
Aspect Ratio Selector
by rTachibana128MB VRAM
AssetThingie
by pogo-pedagog128MB VRAM
Civitai Comfy Nodes
by civitai128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-UNO require?

ComfyUI-UNO 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-UNO 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-UNO need?

ComfyUI-UNO requires the following PyTorch-related packages: torch==2.4.0, torchvision==0.19.0. 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-UNO?

To run ComfyUI-UNO, you need to install: accelerate==1.1.1, deepspeed==0.14.4, diffusers==0.30.1, einops==0.8.0, gradio==5.22.0, huggingface-hub, sentencepiece==0.2.0, torch==2.4.0, torchvision==0.19.0, transformers==4.43.3. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-UNO?

ComfyUI-UNO 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-UNO in ComfyUI?

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