GitLab

fix and add tests
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* min-SNR gamma for Dreambooth training

* Align the mse_loss_weights style with SDXL training example

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

* Add BLIP Diffusion skeleton

* Add other model components

* Add BLIP2, need to change it for now

* Fix pipeline imports

* Load pretrained ViT

* Make qformer fwd pass same

* Replicate fwd passes

* Fix device bug

* Add accelerate functions

* Remove extra functions from Blip2

* Minor bug

* Integrate initial review changes

* Refactoring

* Refactoring

* Refactor

* Add controlnet

* Refactor

* Update conversion script

* Add image processor

* Shift postprocessing to ImageProcessor

* Refactor

* Fix device

* Add fast tests

* Update conversion script

* Fix checkpoint conversion script

* Integrate review changes

* Integrate reivew changes

* Remove unused functions from test

* Reuse HF image processor in Cond image

* Create new BlipImageProcessor based on transfomers

* Fix image preprocessor

* Minor

* Minor

* Add canny preprocessing

* Fix controlnet preprocessing

* Fix blip diffusion test

* Add controlnet test

* Add initial doc strings

* Integrate review changes

* Refactor

* Update examples

* Remove DDIM comments

* Add copied from for prepare_latents

* Add type anotations

* Add docstrings

* Do black formatting

* Add batch support

* Make tests pass

* Make controlnet tests pass

* Black formatting

* Fix progress bar

* Fix some licensing comments

* Fix imports

* Refactor controlnet

* Make tests faster

* Edit examples

* Black formatting/Ruff

* Add doc

* Minor
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Move controlnet pipeline

* Make tests faster

* Fix imports

* Fix formatting

* Fix make errors

* Fix make errors

* Minor

* Add suggested doc changes
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Edit docs

* Fix 16 bit loading

* Update examples

* Edit toctree

* Update docs/source/en/api/pipelines/blip_diffusion.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Minor

* Add tips

* Edit examples

* Update model paths

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Co-authored-by: bghira <bghira@users.github.com>

* use python 3.7 instead

* Update setup.py

* add config_files parser #5114

* add config_files parser_fix #5114

* better condition.

* debugging

* how about now?

* how about now?

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* support for lycoris.

* style

* add: lycoris test

* fix from_pretrained call.

* fix assertion values.

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Resolve v_prediction issue for min-SNR gamma weighted loss function

* Combine MSE loss calculation of epsilon and velocity, with a note about the application of the epsilon code to sample prediction

* style

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

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

* fix test

* initial commit

* change test

* updates:

* fix tests

* test fix

* test fix

* fix tests

* make test faster

* clean up

* fix precision in test

* fix precision

* Fix tests

* Fix logging test

* fix test

* fix test

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

* wip

* fix tests

* move slow tests to nightly

* move slow tests to nightly

* fix failing tests

* make style

* core: add support for clip ckip to SDXL

* add clip_skip support to the rest of the pipeline.

* Empty-Commit

* [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>

* don't break offloading for incompatible lora ckpts.

* debugging

* better condition.

* fix

* fix

* fix

* fix

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

remove adapter weights in MultiAdapter constructor

* 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

* Fix T2I MultiAdapter

* fix tests

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Co-authored-by: dotieuthien <thien.do@mservice.com.vn>
Co-authored-by: dotieuthien <dotieuthien9997@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: dotieuthien <hades@cinnamon.is>

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* 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.

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

* fix

* fix num_images_per_prompt >1

* other pipelines

* add fast tests for inpaint pipelines

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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>

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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>

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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

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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.

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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>

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