opencv-contrib-python-headless omegaconf diffusers numpy<2 huggingface-hub transformers


[](https://arxiv.org/abs/2412.09013)
This project is a ComfyUI wrapper for InvSR (Arbitrary-steps Image Super-resolution via Diffusion Inversion)
Last tested: 2 January 2026 (ComfyUI v0.7.0@f2fda02 | Torch 2.9.1 | Python 3.10.12 | RTX4090 | CUDA 13.0 | Debian 12)
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Navigate to the ComfyUI /custom_nodes directory
git clone https://github.com/yuvraj108c/ComfyUI_InvSR
cd ComfyUI_InvSR
pip install -r requirements.txt
ComfyUI/models/diffusersComfyUI/models/invsrchopping_size 256chopping_batch_size to 1num_steps: number of inference stepscfg: classifier-free guidance scalebatch_size: Controls how many complete images are processed simultaneouslychopping_batch_size: Controls how many patches from the same image are processed simultaneouslychopping_size: Controls the size of patches when splitting large imagescolor_fix: Method to fix color shift in processed images28 April 2025
noise_predictor_sd_turbo_v5_diftune.pth03 February 2025
mm to set torch device31 January 2025
diffusers>=0.28@article{yue2024InvSR,
title={Arbitrary-steps Image Super-resolution via Diffusion Inversion},
author={Yue, Zongsheng and Kang, Liao and Loy, Chen Change},
journal = {arXiv preprint arXiv:2412.09013},
year={2024},
}
This project is licensed under NTU S-Lab License 1.0
Thanks to simplepod.ai for providing GPU servers
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