JyChen9811 / FaithDiff
[CVPR 2025] FaithDiff for Classic Film Rejuvenation, Old Photo Revival, Social Media Restoration, Image Enhancement and AIGC Enhancement.
Why this job: topics: stable-diffusion, diffusion, diffusion-models
What it does
- April 3, 2025. The code has been integrated into Diffusers. Respect to Eliseu Silva!!!
- April 1, 2025. Supports FP8 inference and CPU offloading, significantly reducing memory usage. Thanks Eliseu Silva!!!
- March 28, 2025. Update a nice gradio demo.
- March 24, 2025. Release the training code.
- February 09, 2025. Support ultra-high-resolution (8K and above) image restoration on 24GB GPUs.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 275
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 53% closed
- 16 still open
- Pull requests
- 5 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 96%
- JavaScript 2%
- HTML 1%
- CSS <1%
Topics
- aigc-enhancement
- cvpr
- diffusion
- diffusion-models
- image-enhancement
- real-world
- stable-diffusion
- super-resolution
Project record
- JobImage generation
- StatusListed
- Commits97
- Forks18
- Watching3
- Stars in 28 days+2
- CreatedNov 23, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026