HandFixer

By Xiangyu-CASView on GitHub →

This project addresses the issue of numerous hand defects in AI-generated portrait images by using a workflow based on FLUX/FLUX-Fill to correct hand deformities. It is effective for both real-life and anime images, including those generated by DiT/SDXL/Midjourney. It supports diffusers, gradio, ComfyUI, and more

How much VRAM does HandFixer require?

Direct Answer: The ComfyUI node HandFixer requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
HIGH

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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Deploy on Cloud GPUs

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What Python packages are required for HandFixer?

Direct Answer: Running HandFixer requires installing the following Python package dependencies: diffusers, gradio, mediapipe, opencv-python, streamlit, torchvision, tqdm, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers
gradio
mediapipe
opencv-python
streamlit
torchvision
tqdm
transformers

Interactive Setup & Dependency Resolver

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1⚡ Stable Diffusion XL (SDXL)

Related Custom Nodes

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

ComfyUI-HFRemoteVae
by kijai12.0GB VRAM
ComfyUI-MultiGPU
by pollockjj12.0GB VRAM
Atom_AI
by AtomAI-GR12.0GB VRAM
Bobs_Latent_Optimizer
by bobsblazed12.0GB VRAM
Bobs_LoRA_Loader
by bobsblazed12.0GB VRAM

Frequently Asked Questions

How much VRAM does HandFixer require?

HandFixer requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run HandFixer on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What PyTorch version does HandFixer need?

HandFixer requires the following PyTorch-related packages: torchvision. 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 HandFixer?

To run HandFixer, you need to install: diffusers, gradio, mediapipe, opencv-python, streamlit, torchvision, tqdm, transformers. You can install these using pip or add them to your requirements.txt file.

How do I install HandFixer in ComfyUI?

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