Comfyui-STAR

By ethanfelView on GitHub →

ComfyUI custom nodes for STAR, a diffusion-based 4x video upscaling model with temporal coherence, VRAM offloading, and long-video support. (Description by CC)

How much VRAM does Comfyui-STAR require?

Direct Answer: The ComfyUI node Comfyui-STAR requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ 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!

Deploy on High-Performance GPUs

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Deploy on Cloud GPUs

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What Python packages are required for Comfyui-STAR?

Direct Answer: Running Comfyui-STAR requires installing the following Python package dependencies: diffusers>=0.25.0, easydict, einops, huggingface_hub, open-clip-torch, torchsde. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers>=0.25.0
easydict
einops
huggingface_hub
open-clip-torch
torchsde

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:

AAA Metadata System
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Arc2Face ComfyUI Node Library
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Arthemy Live Tuner - SDXL
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BokehDiffusionComfyUI
by jrabek256MB VRAM

Frequently Asked Questions

How much VRAM does Comfyui-STAR require?

Comfyui-STAR requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run Comfyui-STAR on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom

What PyTorch version does Comfyui-STAR need?

Comfyui-STAR requires the following PyTorch-related packages: open-clip-torch, torchsde. 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-STAR?

To run Comfyui-STAR, you need to install: diffusers>=0.25.0, easydict, einops, huggingface_hub, open-clip-torch, torchsde. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Comfyui-STAR?

Comfyui-STAR 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-STAR in ComfyUI?

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