"src/diffusers/pipelines/latte/__init__.py" did not exist on "84cd9e8d01adb47f046b1ee449fc76a0c32dc4e2"
  1. 06 Feb, 2023 1 commit
  2. 03 Feb, 2023 1 commit
  3. 02 Feb, 2023 1 commit
  4. 01 Feb, 2023 2 commits
  5. 31 Jan, 2023 2 commits
  6. 30 Jan, 2023 2 commits
  7. 27 Jan, 2023 2 commits
  8. 25 Jan, 2023 3 commits
  9. 21 Jan, 2023 1 commit
    • Patrick von Platen's avatar
      Correct Pix2Pix example (#2056) · 8d326e61
      Patrick von Platen authored
      * Correct Pix2Pix example
      
      - no advertisement of revision -> it'll be deprecated soon
      - by default safety checker should be used
      
      * Update docs/source/en/api/pipelines/stable_diffusion/pix2pix.mdx
      
      * up
      8d326e61
  10. 20 Jan, 2023 1 commit
  11. 18 Jan, 2023 2 commits
  12. 17 Jan, 2023 2 commits
    • Kashif Rasul's avatar
      DiT Pipeline (#1806) · 37d113cc
      Kashif Rasul authored
      
      
      * added dit model
      
      * import
      
      * initial pipeline
      
      * initial convert script
      
      * initial pipeline
      
      * make style
      
      * raise valueerror
      
      * single function
      
      * rename classes
      
      * use DDIMScheduler
      
      * timesteps embedder
      
      * samples to cpu
      
      * fix var names
      
      * fix numpy type
      
      * use timesteps class for proj
      
      * fix typo
      
      * fix arg name
      
      * flip_sin_to_cos and better var names
      
      * fix C shape cal
      
      * make style
      
      * remove unused imports
      
      * cleanup
      
      * add back patch_size
      
      * initial dit doc
      
      * typo
      
      * Update docs/source/api/pipelines/dit.mdx
      Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
      
      * added copyright license headers
      
      * added example usage and toc
      
      * fix variable names asserts
      
      * remove comment
      
      * added docs
      
      * fix typo
      
      * upstream changes
      
      * set proper device for drop_ids
      
      * added initial dit pipeline test
      
      * update docs
      
      * fix imports
      
      * make fix-copies
      
      * isort
      
      * fix imports
      
      * get rid of more magic numbers
      
      * fix code when guidance is off
      
      * remove block_kwargs
      
      * cleanup script
      
      * removed to_2tuple
      
      * use FeedForward class instead of another MLP
      
      * style
      
      * work on mergint DiTBlock with BasicTransformerBlock
      
      * added missing final_dropout and args to BasicTransformerBlock
      
      * use norm from block
      
      * fix arg
      
      * remove unused arg
      
      * fix call to class_embedder
      
      * use timesteps
      
      * make style
      
      * attn_output gets multiplied
      
      * removed commented code
      
      * use Transformer2D
      
      * use self.is_input_patches
      
      * fix flags
      
      * fixed conversion to use Transformer2DModel
      
      * fixes for pipeline
      
      * remove dit.py
      
      * fix timesteps device
      
      * use randn_tensor and fix fp16 inf.
      
      * timesteps_emb already the right dtype
      
      * fix dit test class
      
      * fix test and style
      
      * fix norm2 usage in vq-diffusion
      
      * added author names to pipeline and lmagenet labels link
      
      * fix tests
      
      * use norm_type as string
      
      * rename dit to transformer
      
      * fix name
      
      * fix test
      
      * set  norm_type = "layer" by default
      
      * fix tests
      
      * do not skip common tests
      
      * Update src/diffusers/models/attention.py
      Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
      
      * revert AdaLayerNorm API
      
      * fix norm_type name
      
      * make sure all components are in eval mode
      
      * revert norm2 API
      
      * compact
      
      * finish deprecation
      
      * add slow tests
      
      * remove @
      
      * refactor some stuff
      
      * upload
      
      * Update src/diffusers/pipelines/dit/pipeline_dit.py
      
      * finish more
      
      * finish docs
      
      * improve docs
      
      * finish docs
      Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
      Co-authored-by: default avatarWilliam Berman <WLBberman@gmail.com>
      Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      37d113cc
    • Patrick von Platen's avatar
      [Docs] No more autocast (#2021) · f77ff561
      Patrick von Platen authored
      no more autocast
      f77ff561
  13. 12 Jan, 2023 1 commit
  14. 06 Jan, 2023 1 commit
  15. 05 Jan, 2023 3 commits
  16. 04 Jan, 2023 2 commits
  17. 03 Jan, 2023 1 commit
  18. 02 Jan, 2023 1 commit
  19. 01 Jan, 2023 1 commit
  20. 30 Dec, 2022 2 commits
  21. 28 Dec, 2022 1 commit
    • Will Berman's avatar
      unCLIP image variation (#1781) · 53c8147a
      Will Berman authored
      * unCLIP image variation
      
      * remove prior comment re: @pcuenca
      
      * stable diffusion -> unCLIP re: @pcuenca
      
      * add copy froms re: @patil-suraj
      53c8147a
  22. 20 Dec, 2022 1 commit
    • Pedro Cuenca's avatar
      Dreambooth docs: minor fixes (#1758) · a6fb9407
      Pedro Cuenca authored
      * Section header for in-painting, inference from checkpoint.
      
      * Inference: link to section to perform inference from checkpoint.
      
      * Move Dreambooth in-painting instructions to the proper place.
      a6fb9407
  23. 19 Dec, 2022 2 commits
  24. 17 Dec, 2022 1 commit
  25. 16 Dec, 2022 1 commit
    • Pedro Cuenca's avatar
      Docs: recommend xformers (#1724) · acd31781
      Pedro Cuenca authored
      * Fix links to flash attention.
      
      * Add xformers installation instructions.
      
      * Make link to xformers install more prominent.
      
      * Link to xformers install from training docs.
      acd31781
  26. 15 Dec, 2022 2 commits