* [SDXL] Make sure multi batch prompt embeds works
* [SDXL] Make sure multi batch prompt embeds works
* improve more
* improve more
* Apply suggestions from code review
Fixed `get_word_inds` mistake/typo in P2P community pipeline
The function `get_word_inds` was taking a string of text and either a word (str) or a word index (int) and returned the indices of token(s) the word would be encoded to.
However, there was a typo, in which in the second `if` branch the word was checked to be a `str` **again**, not `int`, which resulted in an [example code from the docs](https://github.com/huggingface/diffusers/tree/main/examples/community#prompt2prompt-pipeline) to result in an error
* add support for clip skip
* fix condition
* fix
* add clip_output_layer_to_default
* expose
* remove the previous functions.
* correct condition.
* apply final layer norm
* address feedback
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* refactor clip_skip.
* port to the other pipelines.
* fix copies one more time
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Remove logger.info statement from Unet2DCondition code to ensure torch compile reliably succeeds
* Convert logging statement to a comment for future archaeologists
* Update src/diffusers/models/unet_2d_condition.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add attn_groups argument to UNet2DMidBlock2D to control theinternal Attention block's GroupNorm.
* Add docstring for attn_norm_num_groups in UNet2DModel.
* Since the test UNet config uses resnet_time_scale_shift == 'scale_shift', also set attn_norm_num_groups to 32.
* Add test for attn_norm_num_groups to UNet2DModelTests.
* Fix expected slices for slow tests.
* Also fix tolerances for slow tests.
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Initial commit P2P
* Replaced CrossAttention, added test skeleton
* bug fixes
* Updated docstring
* Removed unused function
* Created tests
* improved tests
- made fast inference tests faster
- corrected image shape assertions
* Corrected expected output shape in tests
* small fix: test inputs
* Update tests
- used conditional unet2d
- set expected image slices
- edit_kwargs are now not popped, so pipe can be run multiple times
* Fixed bug in int tests
* Fixed tests
* Linting
* Create prompt2prompt.md
* Added to docs toc
* Ran make fix-copies
* Fixed code blocks in docs
* Using same interface as StableDiffusionPipeline
* Fixed small test bug
* Added all options SDPipeline.__call_ has
* Fixed docstring; made __call__ like in SD
* Linting
* Added test for multiple prompts
* Improved docs
* Incorporated feedback
* Reverted formatting on unrelated files
* Moved prompt2prompt to community
- Moved prompt2prompt pipeline from main to community
- Deleted tests
- Moved documentation to community and shorted it
* Update src/diffusers/utils/dummy_torch_and_transformers_objects.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* check out dtypes.
* check out dtypes.
* check out dtypes.
* check out dtypes.
* check out dtypes.
* check out dtypes.
* check out dtypes.
* potential fix
* check out dtypes.
* check out dtypes.
* working?
* Fix an unmatched backtick and make description more general for DiffusionPipeline.enable_sequential_cpu_offload.
* make style
* _exclude_from_cpu_offload -> self._exclude_from_cpu_offload
* make style
* apply suggestions from review
* make style
* speed up lora loading
* Apply suggestions from code review
* up
* up
* Fix more
* Correct more
* Apply suggestions from code review
* up
* Fix more
* Fix more -
* up
* up
