GitLab

* enable pxla training of stable diffusion 2.x models.

* run linter/style and run pipeline test for stable diffusion and fix issues.

* update xla libraries

* fix read me newline.

* move files to research folder.

* update per comments.

* rename readme.

---------
Co-authored-by: Juan Acevedo <jfacevedo@google.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Remove Squeeze op
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

migrate the BrownianTree to BrownianInterval
Co-authored-by: YiYi Xu <yixu310@gmail.com>

fix some fast gpu tests.

* fix from_transformer() with extra conditioning channels

* style fix

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Álvaro Somoza <somoza.alvaro@gmail.com>

* add animatediff + vid2vide + controlnet

* post tests fixes

* PR discussion fixes

* update docs

* change input video to links on HF + update an example

* make quality fix

* fix ip adapter test

* fix ip adapter test input

* update ip adapter test

* refator + add begin_index

* add kolors img2img to doc

* update

* implement prompt interpolation

* make style

* resnet memory optimizations

* more memory optimizations; todo: refactor

* update

* update animatediff controlnet with latest changes

* refactor chunked inference changes

* remove print statements

* update

* chunk -> split

* remove changes from incorrect conflict resolution

* remove changes from incorrect conflict resolution

* add explanation of SplitInferenceModule

* update docs

* Revert "update docs"

This reverts commit c55a50a271b2cefa8fe340a4f2a3ab9b9d374ec0.

* update docstring for freenoise split inference

* apply suggestions from review

* add tests

* apply suggestions from review

fix one uncaught deprecation warning for accessing vae_latent_channels in VaeImagePreprocessor (#9372)

deprecation warning vae_latent_channels

* refactor

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

Enable load_lora_weights for StableDiffusion3InpaintPipeline
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* fix

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

* remove frame limit in cogvideox

* remove debug prints

* Update src/diffusers/models/transformers/cogvideox_transformer_3d.py

* revert pipeline; remove frame limitation

* revert transformer changes

* address review comments

* add error message

* apply suggestions from review

* Fix ```from_single_file``` for xl_inpaint

* Add basic flux inpaint pipeline

* style, quality, stray print

* Fix stray changes

* Add inpainting model support

* Change lora conversion for xlabs

* Fix stray changes

* Apply suggestions from code review

* style

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

* add vid2vid pipeline for cogvideox

* make fix-copies

* update docs

* fake context parallel cache, vae encode tiling

* add test for cog vid2vid

* use video link from HF docs repo

* add copied from comments; correctly rename test class

fake context parallel cache, vae encode tiling

(cherry picked from commit bf890bca0e8aed875d6a207f9b826ce894901522)

update to a place holder

change get_1d_rotary to accept pos as torch tensors

fix notes and dtype

* support kohya lora in flux.

* format

* support xlabs

* diffusion_model prefix.

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

* empty commit.
Co-authored-by: Leommm-byte <leom20031@gmail.com>

---------
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>
Co-authored-by: Leommm-byte <leom20031@gmail.com>

To match the original code, 7.0 is too high

* update

* implement prompt interpolation

* make style

* resnet memory optimizations

* more memory optimizations; todo: refactor

* update

* update animatediff controlnet with latest changes

* refactor chunked inference changes

* remove print statements

* undo memory optimization changes

* update docstrings

* fix tests

* fix pia tests

* apply suggestions from review

* add tests

* update comment

update

update

to avoid "FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations"
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

initial fix

* refactor 3d rope

* repeat -> expand

* refactor
---------
Co-authored-by: haofanwang <haofanwang.ai@gmail.com>

Update pipeline_kandinsky2_2_combined.py

Bugfix on image type check mismatch

update

update

* start fusing flux.

* test

* finish fusion

* fix-copues

* draft of embedding

---------
Co-authored-by: Aryan <aryan@huggingface.co>

merge now, will add/fix test next 

* support parsing alpha from a flux lora state dict.

* conditional import.

* fix breaking changes.

* safeguard alpha.

* fix

* break from_pretrained part i.

* part ii.

* init_kwargs

* remove _fetch_init_kwargs

* type annotation

* dtyle

* switch to _check_and_update_init_kwargs_for_missing_modules.

* remove _check_and_update_init_kwargs_for_missing_modules.

* use pipeline_loading_kwargs.

* remove _determine_current_device_map.

* remove _filter_null_components.

* device_map fix.

* fix _update_init_kwargs_with_connected_pipeline.

* better handle custom pipeline.

* explain _maybe_raise_warning_for_inpainting.

* add example for model variant.

* fix