ComfyUI-FlashVSR

By ailabView on GitHub →

Powerful ComfyUI custom node built on the FlashVSR model, facilitating real-time diffusion-based video super-resolution for streaming applications.

How much VRAM does ComfyUI-FlashVSR require?

Direct Answer: The ComfyUI node ComfyUI-FlashVSR 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-FlashVSR?

Direct Answer: Running ComfyUI-FlashVSR requires installing the following Python package dependencies: einops>=0.6.0, huggingface_hub>=0.19.0, numpy>=1.24.0, pillow>=9.5.0, safetensors>=0.4.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.65.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
einops>=0.6.0
huggingface_hub>=0.19.0
numpy>=1.24.0
pillow>=9.5.0
safetensors>=0.4.0
torch>=2.0.0
torchvision>=0.15.0
tqdm>=4.65.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI Star DyPE
by Starnodes202412.0GB VRAM
ComfyUI-FL-DiffVSR
by filliptm3.0GB VRAM
comfyui-auto-size
by jluo-github128MB VRAM
isekai-comfy-node
by isekai-sh256MB VRAM
AudioSR
by Saganaki223.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-FlashVSR require?

ComfyUI-FlashVSR 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-FlashVSR 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-FlashVSR need?

ComfyUI-FlashVSR requires the following PyTorch-related packages: torch>=2.0.0, torchvision>=0.15.0. 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-FlashVSR?

To run ComfyUI-FlashVSR, you need to install: einops>=0.6.0, huggingface_hub>=0.19.0, numpy>=1.24.0, pillow>=9.5.0, safetensors>=0.4.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.65.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-FlashVSR in ComfyUI?

To install ComfyUI-FlashVSR: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/1038lab/ComfyUI-FlashVSR, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.