ComfyUI-FL-DiffVSR
FL DiffVSR - Diffusion-based video super-resolution nodes for ComfyUI. Features 4x upscaling with temporal coherence using Stream-DiffVSR for smooth, artifact-free video enhancement. Supports text-guided upscaling, chunked processing for memory efficiency, and automatic model downloading from HuggingFace.
How much VRAM does ComfyUI-FL-DiffVSR require?
Direct Answer: The ComfyUI node ComfyUI-FL-DiffVSR 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.
- Base VRAM:
- 3072MB (3.0GB)
- Recommended GPU:
- 8GB+ 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!
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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-FL-DiffVSR?
Direct Answer: Running ComfyUI-FL-DiffVSR requires installing the following Python package dependencies: accelerate>=0.20.0, diffusers>=0.21.0, einops>=0.6.0, huggingface_hub>=0.16.0, numpy>=1.20.0, pillow>=9.0.0, safetensors>=0.3.0, torch>=2.0.0, torchvision>=0.15.0, transformers>=4.30.0, xformers>=0.0.20. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
diffusers>=0.21.0
einops>=0.6.0
huggingface_hub>=0.16.0
numpy>=1.20.0
pillow>=9.0.0
safetensors>=0.3.0
torch>=2.0.0
torchvision>=0.15.0
transformers>=4.30.0
xformers>=0.0.20Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-FL-DiffVSR require?
ComfyUI-FL-DiffVSR 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-FL-DiffVSR 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-FL-DiffVSR need?
ComfyUI-FL-DiffVSR 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-FL-DiffVSR?
To run ComfyUI-FL-DiffVSR, you need to install: accelerate>=0.20.0, diffusers>=0.21.0, einops>=0.6.0, huggingface_hub>=0.16.0, numpy>=1.20.0, pillow>=9.0.0, safetensors>=0.3.0, torch>=2.0.0, torchvision>=0.15.0, transformers>=4.30.0, xformers>=0.0.20. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-FL-DiffVSR?
ComfyUI-FL-DiffVSR 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-FL-DiffVSR in ComfyUI?
To install ComfyUI-FL-DiffVSR: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/filliptm/ComfyUI-FL-DiffVSR, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.