GitLab

* Implement `CustomDiffusionAttnProcessor2_0`

* Doc-strings and type annotations for `CustomDiffusionAttnProcessor2_0`. (#1)

* Update attnprocessor.md

* Update attention_processor.py

* Interops for `CustomDiffusionAttnProcessor2_0`.

* Formatted `attention_processor.py`.

* Formatted doc-string in `attention_processor.py`

* Conditional CustomDiffusion2_0 for training example.

* Remove unnecessary reference impl in comments.

* Fix `save_attn_procs`.

* [Textual inversion] Clean loading

* [Textual inversion] Clean loading

* [Textual inversion] Clean up

* [Textual inversion] Clean up

* [Textual inversion] Clean up

* [Textual inversion] Clean up

* add doc around fusing multiple loras.

* Apply suggestions from code review
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* address poli's comments.

---------
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* fix

* fix num_images_per_prompt >1

* other pipelines

* add fast tests for inpaint pipelines

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* [LoRA] fix typo in attention_processor.py

fixes #5062

* make style

* make fix-copies, logger comented for torch compile

* fix typos in docs

* fix for issue  #5023

Remove logger.info statement from Unet2DCondition code to ensure torch compile reliably succeeds (#4982)

* 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>

---------
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [SDXL, Docs] Textual inversion

* Update docs/source/en/using-diffusers/sdxl.md

* finish

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* convert tensorrt controlnet

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix number controlnet condition

* Add convert SD XL to onnx

* Add convert SD XL to tensorrt

* Add convert SD XL to tensorrt

* Add examples in comments

* Add examples in comments

* Add test onnx controlnet

* Add tensorrt test

* Remove copied

* Move file test to examples/community

* Remove script

* Remove script

* Remove text

* Fix import

---------
Co-authored-by: dotieuthien <thien.do@mservice.com.vn>
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.

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add refiner only tests

* make style

* Add files via upload
Co-authored-by: Shahmatov Arseniy <62886550+cene555@users.noreply.github.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Co-authored-by: yiyixuxu <yixu310@gmail,com>

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* 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>

make optional arguments explciit

* [Import] Add missing settings

* up

* up

* up

finish config_files implementation

* [Import] Don't force transformers to be installed

* make style

* fix model offload bug when key isn't present

* make style

* refactor

* update general optim sections

* update more sections

* few more updates

* benchmark code

fix broken link

* fix compel usage

* minor changes in documentation

* fix tests

* fix more

* fix more

* typos

* fix tests

* formatting

---------
Co-authored-by: Dominic Rampas <d6582533@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 flaky flax class name

* fix gligen clip import issue

* fix dtype issue with gligen text to image pipeline

* make fix copies

* fix lora fuse unfuse

* add same changes to loaders.py

* add test

---------
Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

* [SDXL] Add LoRA to all pipelines

* fix all

* fix all

* fix all

* fix more docs

* make style

[Tests and Docs] Add a test on serializing pipelines with components containing fused LoRA modules (#4962)

* add: test to ensure pipelines can be saved with fused lora modules.

* add docs about serialization with fused lora.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Empty-Commit

* Update docs/source/en/training/lora.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* examples fix t2i training

* make style

fix template

* fix safety checker

* fix safety checker

* fix safety checker

* 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

fix image variation tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>