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  1. 21 Jan, 2023 1 commit
  2. 12 Jan, 2023 1 commit
  3. 30 Dec, 2022 1 commit
  4. 29 Dec, 2022 1 commit
    • Simon Kirsten's avatar
      Flax: Fix img2img and align with other pipeline (#1824) · ab0e92fd
      Simon Kirsten authored
      
      
      * Flax: Add components function
      
      * Flax: Fix img2img and align with other pipeline
      
      * Flax: Fix PRNGKey type
      
      * Refactor strength to start_timestep
      
      * Fix preprocess images
      
      * Fix processed_images dimen
      
      * latents.shape -> latents_shape
      
      * Fix typo
      
      * Remove "static" comment
      
      * Remove unnecessary optional types in _generate
      
      * Apply doc-builder code style.
      Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      ab0e92fd
  5. 27 Dec, 2022 1 commit
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  10. 05 Dec, 2022 2 commits
  11. 02 Dec, 2022 3 commits
  12. 28 Nov, 2022 2 commits
  13. 25 Nov, 2022 1 commit
    • Suraj Patil's avatar
      StableDiffusionUpscalePipeline (#1396) · 9ec5084a
      Suraj Patil authored
      
      
      * StableDiffusionUpscalePipeline
      
      * fix a few things
      
      * make it better
      
      * fix image batching
      
      * run vae in fp32
      
      * fix docstr
      
      * resize to mul of 64
      
      * doc
      
      * remove safety_checker
      
      * add max_noise_level
      
      * fix Copied
      
      * begin tests
      
      * slow tests
      
      * default max_noise_level
      
      * remove kwargs
      
      * doc
      
      * fix
      
      * fix fast tests
      
      * fix fast tests
      
      * no sf
      
      * don't offload vae
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      9ec5084a
  14. 24 Nov, 2022 2 commits
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  25. 31 Oct, 2022 2 commits
  26. 27 Oct, 2022 1 commit
  27. 26 Oct, 2022 1 commit
    • Pi Esposito's avatar
      minimal stable diffusion GPU memory usage with accelerate hooks (#850) · b2e2d141
      Pi Esposito authored
      * add method to enable cuda with minimal gpu usage to stable diffusion
      
      * add test to minimal cuda memory usage
      
      * ensure all models but unet are onn torch.float32
      
      * move to cpu_offload along with minor internal changes to make it work
      
      * make it test against accelerate master branch
      
      * coming back, its official: I don't know how to make it test againt the master branch from accelerate
      
      * make it install accelerate from master on tests
      
      * go back to accelerate>=0.11
      
      * undo prettier formatting on yml files
      
      * undo prettier formatting on yml files againn
      b2e2d141