ComfyUI nodes for ControlNext-SVD v2

By kijaiView on GitHub →

These nodes include my wrapper for the original diffusers pipeline, as well as work in progress native ComfyUI implementation. For the diffusers wrapper models should be downloaded automatically, for the native version you can get the unet [a/here](https://huggingface.co/Kijai/ControlNeXt-SVD-V2-Comfy/blob/main/controlnext-svd_v2-unet-fp16_converted.safetensors).

How much VRAM does ComfyUI nodes for ControlNext-SVD v2 require?

Direct Answer: The ComfyUI node ComfyUI nodes for ControlNext-SVD v2 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 nodes for ControlNext-SVD v2?

Direct Answer: Running ComfyUI nodes for ControlNext-SVD v2 requires installing the following Python package dependencies: accelerate, diffusers>=0.30.0, huggingface_hub, opencv-python, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
diffusers>=0.30.0
huggingface_hub
opencv-python
transformers

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:

Animatediff MotionLoRA Trainer
by kijai4.0GB VRAM
ComfyUI CogVideoX Wrapper
by kijai4.0GB VRAM
ComfyUI-DynamiCrafterWrapper
by kijai4.0GB VRAM
ComfyUI-VideoColorGrading
by kijai4.0GB VRAM
ComfyUI-WanVideoWrapper
by kijai4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI nodes for ControlNext-SVD v2 require?

ComfyUI nodes for ControlNext-SVD v2 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 nodes for ControlNext-SVD v2 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 Python packages are required for ComfyUI nodes for ControlNext-SVD v2?

To run ComfyUI nodes for ControlNext-SVD v2, you need to install: accelerate, diffusers>=0.30.0, huggingface_hub, opencv-python, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI nodes for ControlNext-SVD v2?

ComfyUI nodes for ControlNext-SVD v2 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 nodes for ControlNext-SVD v2 in ComfyUI?

To install ComfyUI nodes for ControlNext-SVD v2: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kijai/ComfyUI-ControlNeXt-SVD, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.