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Code release #1
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The code is released. |
Thank you :) |
We sincerely appreciate your interest in our work. |
Hey, I simply wanted to show an atd model I trained that I like: Details and examples are in there, basically pair-trained and handles jpg and webp (re)compression together with a little bit of noise and blur handling. I really like the outputs, and considering it can still handle these degradations to some extend, it still does well on non-degraded inputs i think. I trained it using neosr (and created these outputs of this model using the test script there, with 'norm: true' under network_g additionally) I also trained another atd model on otf (real-esrgan pipeline) jpg compression with resize and blur kernels but non-denoising: https://github.com/Phhofm/models/releases/tag/4xNomos8k_atd_jpg I simply wanted to show/share these results here. (PS also, i think they are trying to add ATD support to Spandrel. Once that is in there, atd models can be used by projects using Spandrel like chaiNNer or stable diffusion web ui . Thats all the news I have) |
Thank you very much! |
This is an interesting project, just making this issue to please let me know when you release inference or training code :)
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