csslc / ccsr

Improving the Stability of Diffusion Models for Content Consistent Super-Resolution

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Examples

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Run time and cost

This model costs approximately $0.17 to run on Replicate, or 5 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 4 minutes. The predict time for this model varies significantly based on the inputs.

Readme

Improving the Stability of Diffusion Models for Content Consistent Super-Resolution

🌟 Overview Framework

ccsr

Citations

If our code helps your research or work, please consider citing our paper. The following are BibTeX references:

@article{sun2023ccsr,
  title={Improving the Stability of Diffusion Models for Content Consistent Super-Resolution},
  author={Sun, Lingchen and Wu, Rongyuan and Zhang, Zhengqiang and Yong, Hongwei and Zhang, Lei},
  journal={arXiv preprint arXiv:2401.00877},
  year={2024}
}

License

This project is released under the Apache 2.0 license.

Acknowledgement

This project is based on ControlNet, BasicSR and DiffBIR. Some codes are brought from StableSR. Thanks for their awesome works.

Contact

If you have any questions, please contact: ling-chen.sun@connect.polyu.hk