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SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

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Hi folks! Great model and thanks for including the local Gradio demo. I'd suggest using the ImageSlider custom component: https://huggingface.co/spaces/pngwn/gradio_imageslider to make the demo even nicer.

为何不使用gradio 这种较为类似的搭建一个测试damo以供测试,从提供的几张图示例来看,是比较惊艳的了

Great worker,will the dataset be open source?

Fellows, Python3.8 could not support the Package [triton 2.1.0].

Hi I have a error when I try to start the gradio, it's seems the problem from loading models do you guys have a better explanation of how install models...

The pre-trained model size is too large (239GB). I understand that you used 64 Nvidia A6000 (48GB) Gpus for 10 days for the training. What are the hardware requirements for...

Remove from the package list at requirements.txt ``` gradio==4.16.0 gradio_imageslider==0.0.17 gradio_client==0.1.3 ``` Start in (SUPIR) `pip install -r requirements.txt` Use in bash `conda install anaconda-cloud-auth` Then also in bash `pip...

The install instructions on the main page seems to be incorrect, it tells you to use python 3.8 with "conda create -n SUPIR python=3.8 -y" and then pip install -r...