comfyui_jankhidiffusion
Janky implementation of [a/HiDiffusion](https://github.com/megvii-research/HiDiffusion) for ComfyUI. Enables generating at resolutions higher than what the model was trained for. Only supports SD 1.x (maybe 2.x) and SDXL.
How much VRAM does comfyui_jankhidiffusion require?
Direct Answer: The ComfyUI node comfyui_jankhidiffusion requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 8192MB (8.0GB)
- Recommended GPU:
- 12GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
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
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Deploy on Cloud GPUs
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Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does comfyui_jankhidiffusion require?
comfyui_jankhidiffusion requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run comfyui_jankhidiffusion on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom
How do I install comfyui_jankhidiffusion in ComfyUI?
To install comfyui_jankhidiffusion: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/blepping/comfyui_jankhidiffusion, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.