GitLab

* add padding_mask_crop
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

🤞🤞🤞

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

* fix

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

* Fixed the bug related to saving DeepSpeed models.

* Add information about training SD models using DeepSpeed to the README.

* Apply suggestions from code review

---------
Co-authored-by: mhh001 <mahonghao1@huawei.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* - extract function for stage in UNet2DConditionModel init & forward
- Add new function get_mid_block() to unet_2d_blocks.py

* add type hint to get_mid_block aligned with get_up_block and get_down_block; rename _set_xxx function

* add type hint and  use keyword arguments

* remove `copy from` in versatile diffusion

* add animatediff img2vid

* fix

* Update examples/community/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix code snippet between ip adapter face id and animatediff img2vid

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

Update convert_from_ckpt.py / read config yaml contents

Added missing reading of config yaml file contents

update

fix?

* fixes bugs:
1. redundant retraction
2. param clone
3. stopping optimization of text encoder params

* param upscaling

* style

* freeinit

* update freeinit implementation based on review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* fix

* another fix

* refactor

* fix timesteps missing bug

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* add test for freeinit

* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* refactor

* fix test

* fix tensor not on same device

* update

* remove return_intermediate_results

* fix broken freeinit test

* update animatediff docs

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

resolve conflicts

* Update installation.md

* Update installation.md

* Update installation.md

[Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline` (#6334)

* [Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline`.

* Refactor `check_inputs` in `StableDiffusionControlNetPipeline` to avoid redundant codes.

* Make the behavior of MultiControlNetModel to be the same to the original ControlNetModel

* Keep the code change minimum for nested list support

* Add fast test `test_inference_nested_image_input`

* Remove redundant check for nested image condition in `check_inputs`

Remove `len(image) == len(prompt)` check out of `check_image()`
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Better `ValueError` message for incompatible nested image list size
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Fix syntax error in `check_inputs`

* Remove warning message for multi-ControlNets with multiple prompts

* Fix a typo in test_controlnet.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Add test case for multiple prompts, single image conditioning in `StableDiffusionMultiControlNetPipelineFastTests`

* Improved `ValueError` message for nested `controlnet_conditioning_scale`

* Documenting the behavior of image list as `StableDiffusionControlNetPipeline` input

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

remove omegaconf 👋

Change in ip-adapter docs. CLIPVisionModelWithProjection should be imported from transformers, not diffusers

[SVD] Fix output_type="np"

* Fixes #6418 Advanced Dreambooth LoRa Training

* change order of import to fix nit

* fix nit, use cast_training_params

* remove torch.compile fix, will move to a new PR

* remove unnecessary import

* changes in utils

* removed loc

* posix lora

* changes and style fix

* Fix path generation on Windows

* Update set_default_attn_processors

* Use pathlib

* Fix quality

* Fix copy

* Revert changes in set_default_attn_processors

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

update expected slice

* 🐛 fix ip-adapter controlnet img2img missing code

* 📝 edit test

* 📝 edit test

* 📝 run make style and quality

* 🎨 remove slow tests

Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline (#6581)

* Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline

* Ensure that validation is performed at every 'validation_step', not at every step

* fix training resume

* update

* update

* Add support for IPAdapter FaceID

* Add docs

* Move subfolder to kwargs

* Fix quality

* Fix image encoder loading

* Fix loading + add test

* Move to community folder

* Fix style

* Revert constant update

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

* fix multicontrolnet support

* update README with multicontrolnet example

* remove omegaconf from convert_from_ckpt.

* remove from single_file.

* change to string based ubscription.

* style

* okay

* fix: vae_param

* no . indexing.

* style

* style

* turn getattrs into explicit if/else

* style

* propagate changes to ldm_uncond.

* propagate to gligen

* propagate to if.

* fix: quotes.

* propagate to audioldm.

* propagate to audioldm2

* propagate to musicldm.

* propagate to vq_diffusion

* propagate to zero123.

* remove omegaconf from diffusers codebase.

* Update train_text_to_image_sdxl.py

* Update train_text_to_image_lora_sdxl.py

update for t2i_adapter

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.2...3.1.3

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* changes for pix2pix_sdxl

* style fix

* added torch.compile for pix2pix

* required changes

make compile compatible

make compile compatible

* torch compatible

* code quality fix

* ruff style

* ruff format

create a utility for casting the lora params during training.