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  1. 22 Nov, 2022 1 commit
    • Manuel Brack's avatar
      Add Safe Stable Diffusion Pipeline (#1244) · e50c25d8
      Manuel Brack authored 
      

* Add pipeline_stable_diffusion_safe.py to pipelines

* Fix repository consistency

Ran make fix-copies after adding new pipline

* Add Paper/Equation reference for parameters to doc string

* Ensure code style and quality

* Perform code refactoring

* Fix copies inherited from merge with huggingface/main

* Add docs

* Fix code style

* Fix errors in documentation

* Fix refactoring error

* remove debugging print statement

* added Safe Latent Diffusion tests

* Fix style

* Fix style

* Add pre-defined safety configurations

* Fix line-break

* fix some tests

* finish

* Change safety checker

* Add missing safety_checker.py file

* Remove unused imports
Co-authored-by: default avatarPatrickSchrML <patrick_schramowski@hotmail.de>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      e50c25d8
  3. 20 Nov, 2022 2 commits
    • Patrick von Platen's avatar
      make style · ab1f01e6
      Patrick von Platen authored
      ab1f01e6
    • Victor Schmidt's avatar
      Handle batches and Tensors in... · 3bec90ff
      Victor Schmidt authored 
      
Handle batches and Tensors in `pipeline_stable_diffusion_inpaint.py:prepare_mask_and_masked_image` (#1003)

* Handle batches and Tensors in `prepare_mask_and_masked_image`

* `blackfy`
upgrade `black`

* handle mask as `np.array`

* add docstring

* revert `black` changes with smaller line length

* missing ValueError in docstring

* raise `TypeError` for image as tensor but not mask

* typo in mask shape selection

* check for batch dim

* fix: wrong indentation

* add tests
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
      3bec90ff
  5. 19 Nov, 2022 1 commit
  7. 18 Nov, 2022 4 commits
  9. 17 Nov, 2022 4 commits
  11. 16 Nov, 2022 3 commits
  13. 15 Nov, 2022 3 commits
  15. 14 Nov, 2022 1 commit
  17. 13 Nov, 2022 2 commits
  19. 09 Nov, 2022 8 commits
  21. 08 Nov, 2022 4 commits
  23. 07 Nov, 2022 2 commits
  25. 06 Nov, 2022 1 commit
    • Cheng Lu's avatar
      Add multistep DPM-Solver discrete scheduler (#1132) · b4a1ed85
      Cheng Lu authored 
      

* add dpmsolver discrete pytorch scheduler

* fix some typos in dpm-solver pytorch

* add dpm-solver pytorch in stable-diffusion pipeline

* add jax/flax version dpm-solver

* change code style

* change code style

* add docs

* add `add_noise` method for dpmsolver

* add pytorch unit test for dpmsolver

* add dummy object for pytorch dpmsolver

* Update src/diffusers/schedulers/scheduling_dpmsolver_discrete.py
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>

* Update tests/test_config.py
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>

* Update tests/test_config.py
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>

* resolve the code comments

* rename the file

* change class name

* fix code style

* add auto docs for dpmsolver multistep

* add more explanations for the stabilizing trick (for steps < 15)

* delete the dummy file

* change the API name of predict_epsilon, algorithm_type and solver_type

* add compatible lists
Co-authored-by: default avatarSuraj Patil <surajp815@gmail.com>
      b4a1ed85
  27. 04 Nov, 2022 2 commits
  29. 03 Nov, 2022 2 commits
    • Will Berman's avatar
      VQ-diffusion (#658) · ef2ea33c
      Will Berman authored 
      

* Changes for VQ-diffusion VQVAE

Add specify dimension of embeddings to VQModel:
`VQModel` will by default set the dimension of embeddings to the number
of latent channels. The VQ-diffusion VQVAE has a smaller
embedding dimension, 128, than number of latent channels, 256.

Add AttnDownEncoderBlock2D and AttnUpDecoderBlock2D to the up and down
unet block helpers. VQ-diffusion's VQVAE uses those two block types.

* Changes for VQ-diffusion transformer

Modify attention.py so SpatialTransformer can be used for
VQ-diffusion's transformer.

SpatialTransformer:
- Can now operate over discrete inputs (classes of vector embeddings) as well as continuous.
- `in_channels` was made optional in the constructor so two locations where it was passed as a positional arg were moved to kwargs
- modified forward pass to take optional timestep embeddings

ImagePositionalEmbeddings:
- added to provide positional embeddings to discrete inputs for latent pixels

BasicTransformerBlock:
- norm layers were made configurable so that the VQ-diffusion could use AdaLayerNorm with timestep embeddings
- modified forward pass to take optional timestep embeddings

CrossAttention:
- now may optionally take a bias parameter for its query, key, and value linear layers

FeedForward:
- Internal layers are now configurable

ApproximateGELU:
- Activation function in VQ-diffusion's feedforward layer

AdaLayerNorm:
- Norm layer modified to incorporate timestep embeddings

* Add VQ-diffusion scheduler

* Add VQ-diffusion pipeline

* Add VQ-diffusion convert script to diffusers

* Add VQ-diffusion dummy objects

* Add VQ-diffusion markdown docs

* Add VQ-diffusion tests

* some renaming

* some fixes

* more renaming

* correct

* fix typo

* correct weights

* finalize

* fix tests

* Apply suggestions from code review
Co-authored-by: default avatarAnton Lozhkov <aglozhkov@gmail.com>

* Apply suggestions from code review
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>

* finish

* finish

* up
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarAnton Lozhkov <aglozhkov@gmail.com>
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
      ef2ea33c
    • Pedro Cuenca's avatar
      Continuation of #1035 (#1120) · 269109db
      Pedro Cuenca authored 
      

* remove batch size from repeat

* repeat empty string if uncond_tokens is none

* fix inpaint pipes

* return back whitespace to pass code quality

* Apply suggestions from code review

* Fix typos.
Co-authored-by: default avatarHad <had-95@yandex.ru>
      269109db