ComfyUI_SparkVSR_SM
SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation
How much VRAM does ComfyUI_SparkVSR_SM require?
Direct Answer: The ComfyUI node ComfyUI_SparkVSR_SM 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!
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 Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for ComfyUI_SparkVSR_SM?
Direct Answer: Running ComfyUI_SparkVSR_SM requires installing the following Python package dependencies: accelerate>=1.1.1, av, decord, diffusers>=0.36.0, einops, huggingface-hub, imageio>=2.35.1, imageio-ffmpeg>=0.5.1, moviepy>=2.0.0, numpy, openai>=1.54.0, opencv-python, peft, pillow, pydantic>=2.10.3, pyyaml, requests, safetensors, scikit-video>=1.1.11, sentencepiece>=0.2.0, swissarmytransformer>=0.4.12, torchdiffeq, tqdm, transformers>=4.46.2, wandb. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=1.1.1
av
decord
diffusers>=0.36.0
einops
huggingface-hub
imageio>=2.35.1
imageio-ffmpeg>=0.5.1
moviepy>=2.0.0
numpy
openai>=1.54.0
opencv-python
peft
pillow
pydantic>=2.10.3
pyyaml
requests
safetensors
scikit-video>=1.1.11
sentencepiece>=0.2.0
swissarmytransformer>=0.4.12
torchdiffeq
tqdm
transformers>=4.46.2
wandbInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_SparkVSR_SM require?
ComfyUI_SparkVSR_SM 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_SparkVSR_SM 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_SparkVSR_SM need?
ComfyUI_SparkVSR_SM requires the following PyTorch-related packages: torchdiffeq. 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_SparkVSR_SM?
To run ComfyUI_SparkVSR_SM, you need to install: accelerate>=1.1.1, av, decord, diffusers>=0.36.0, einops, huggingface-hub, imageio>=2.35.1, imageio-ffmpeg>=0.5.1, moviepy>=2.0.0, numpy, openai>=1.54.0, opencv-python, peft, pillow, pydantic>=2.10.3, pyyaml, requests, safetensors, scikit-video>=1.1.11, sentencepiece>=0.2.0, swissarmytransformer>=0.4.12, torchdiffeq, tqdm, transformers>=4.46.2, wandb. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_SparkVSR_SM in ComfyUI?
To install ComfyUI_SparkVSR_SM: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_SparkVSR_SM, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.