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metadata
title: CCSR Upscaler
emoji: 👁
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 4.42.0
app_file: app.py
pinned: true
short_description: Upscale an image using CCSR

CCSR Upscaler

This Gradio space implements the Continuous Contrastive Super-Resolution (CCSR) model for image upscaling. CCSR is a state-of-the-art super-resolution method that can upscale images while preserving details and enhancing quality.

Features

  • Upload any image for upscaling
  • Adjust super-resolution scale (1x to 8x)
  • Fine-tune parameters like t_max and t_min
  • Choose from different color fixing methods

How to Use

  1. Upload an image you want to upscale
  2. Adjust the SR Scale slider to set the upscaling factor
  3. Fine-tune t_max and t_min values if desired
  4. Select a color fixing method from the dropdown
  5. Click "Submit" to generate the upscaled image

Model Details

This space uses the CCSR model trained on real-world images. The model checkpoint and configuration are loaded from:

  • Checkpoint: weights/real-world_ccsr.ckpt
  • Config: configs/model/ccsr_stage2.yaml

Requirements

The main dependencies for this project are listed in the requirements.txt file, including:

  • torch
  • torchvision
  • gradio
  • einops
  • pytorch-lightning
  • omegaconf
  • open-clip-torch
  • xformers
  • taming-transformers

Acknowledgements

This implementation is based on the CCSR model. For more details about the original work, please refer to the CCSR GitHub repository.