GitLab

* move diffedit out of stable_diffuson

* fix: import

* style

* fix: import

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

Bump transformers in /examples/research_projects/realfill

Bumps [transformers](https://github.com/huggingface/transformers) from 4.34.0 to 4.36.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.34.0...v4.36.0

)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* separate out upsamplers and downsamplers.

* import all the necessary blocks in resnet for backward comp.

* move upsample2d and downsample2d to utils.

* move downsample_2d to downsamplers.py

* apply feedback

* fix import

* samplers -> sampling

* EulerAncestral add `rescale_betas_zero_snr`

Uses same infinite sigma fix from EulerDiscrete. Interestingly the
ancestral version had the opposite problem: too much contrast instead of
too little.

* UT for EulerAncestral `rescale_betas_zero_snr`

* EulerAncestral upcast samples during step()

It helps this scheduler too, particularly when the model is using bf16.

While the noise dtype is still the model's it's automatically upcasted
for the add so all it affects is determinism.

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

* Update regional_prompting_stable_diffusion.py

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* regormat

* reformat

* reformat

* reformat

* reformat

* Update regional_prompting_stable_diffusion.py

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

batched seed

fix document on masked image in inpainting controlnet

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

* add peft dependency

* add peft dependency at the correct place.

update

* fix: unscale fp16 gradient problem

* fix for dreambooth lora sdxl

* make the type-casting conditional.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* fix: init for vae during pixart tests

* print the values

* add flatten

* correct assertion value for test_inference

* correct assertion values for test_inference_non_square_images

* run styling

* debug test_inference_with_multiple_images_per_prompt

* fix assertion values for test_inference_with_multiple_images_per_prompt

* offload image_encoder

* add test

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add converter method for ip adapters

* Move converter method

* Update to image proj converter

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

update

* [SVD] Fix guidance scale

* make style

* Update train_text_to_image_lora.py

* Fix typo?

---------
Co-authored-by: M. Tolga Cangöz <46008593+standardAI@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add img2img and inpaint support to lpw-xl

* update community README

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

Typo: The script for LoRA training is `train_text_to_image_lora_prior.py` not `train_text_to_image_prior_lora.py`.

Alternatively you could rename the file and keep the README.md unchanged.

* deprecate pipe

* make style

* update

* add deprecation message

* format

* remove tests for deprecated pipelines

* remove deprecation message

* make style

* fix copies

* clean up

* clean

* clean

* clean

* clean up

* clean up

* clean up toctree

* clean up

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

* make style

* make style

* make style

* make style

* Fix possible re-conversion issues after extracting from diffusers

Properly rename specific vae keys.

* Whoops

* update

* update

* update

remove depcreated method from lora scripts.

* Update examples/text_to_image/README.md

* Update examples/text_to_image/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* feat: introduce autoencoders module

* more changes for styling and copy fixing

* path changes in the docs.

* fix: import structure in init.

* fix controlnetxs import

* fix: lcm benchmarking reporting

* fix generate_csv_dict call.

* feat: enable fused attention projections for other SD and SDXL pipelines

* add: test for SD fused projections.

* add an error message when dealing with _best_guess_weight_name ofline

* simplify condition

* update

* update

* Clean up comments in LCM(-LoRA) distillation scripts.

* Calculate predicted source noise noise_pred correctly for all prediction_types.

* make style

* apply suggestions from review

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

add peft to training deps
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

* update

* update

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

* correct

* Apply suggestions from code review

* make style