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Download README.md from city96/RevDiff: direct link, hf CLI and curl.
- Browser
- Download file 529 Bytes
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https://huggingface.co/city96/RevDiff/resolve/0d8b2cd032be71876fa58514d552bcd3647fa37f/README.md
- Command line
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hf download hf://city96/RevDiff@0d8b2cd032be71876fa58514d552bcd3647fa37f/README.md
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curl -L -o README.md https://huggingface.co/city96/RevDiff/resolve/0d8b2cd032be71876fa58514d552bcd3647fa37f/README.md
529 Bytes
| license: apache-2.0 | |
| These are two proof-of-concept `compact` (`SRVGGNetCompact`) models meant to be used with anime images. | |
| - `RevDiff1_x1_soft.pth` - x1 model, cleans up linework/random spots fairly well, recommended. | |
| - `RevDiff1_x2_sharp.pth` - x2 model, upscales clean lineart reasonably well, but has issues with artifacting. | |
| They were trained against images that have been processed by stable diffusion at a low denoise. The goal was to try and revert the artifacts introduced by the VAE/UNET. | |
| Release post soon. | |