comfyui-wan-i2v-control

By shootthesoundView on GitHub →

A user-friendly way to selectively transform parts of your starting image in WAN Image-to-Video generation with advanced masking and person detection.

How much VRAM does comfyui-wan-i2v-control require?

Direct Answer: The ComfyUI node comfyui-wan-i2v-control 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

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Deploy on Cloud GPUs

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What Python packages are required for comfyui-wan-i2v-control?

Direct Answer: Running comfyui-wan-i2v-control requires installing the following Python package dependencies: mediapipe. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
mediapipe

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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AlekPet/ComfyUI_Custom_Nodes_AlekPet
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Augment — Design Nodes for ComfyUI
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BilboX's ComfyUI Custom Nodes
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ComfyUI Depth Anything TensorRT
by yuvraj108c128MB VRAM

Frequently Asked Questions

How much VRAM does comfyui-wan-i2v-control require?

comfyui-wan-i2v-control 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-wan-i2v-control 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 Python packages are required for comfyui-wan-i2v-control?

To run comfyui-wan-i2v-control, you need to install: mediapipe. You can install these using pip or add them to your requirements.txt file.

How do I install comfyui-wan-i2v-control in ComfyUI?

To install comfyui-wan-i2v-control: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/shootthesound/comfyui-wan-i2v-control, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.