GitLab

* 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

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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

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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

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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

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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.

* fix: training resume from fp16.

* add: comment

* remove residue from another branch.

* remove more residues.

* thanks to Younes; no hacks.

* style.

* clean things a bit and modularize _set_state_dict_into_text_encoder

* add comment about the fix detailed.

* support compile

* make style

* move unwrap_model inside function

* change unwrap call

* run make style

* Update examples/dreambooth/train_dreambooth.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Revert "Update examples/dreambooth/train_dreambooth.py"

This reverts commit 70ab09732e7cfec0b19c497f823ddd1c8259dad0.

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

* added unwrapper

* fiz typo

* update: make controlnet script torch compile compatible
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* update: correct earlier mistakes for compilation
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* update: fix code style issues
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

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Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* make torch.compile compatible

* fix quality

support compile

pass tracker name as argumentw

* Remove conversion to RGB

* Add a Conversion Function

* Add type hint for convert_method

* Update src/diffusers/utils/loading_utils.py

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

* Update docstring

* Optimize imports

* Optimize imports (2)

* Reformat code

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

* debug generator

* fix?

* fix?

* fix

* remove print.

* revert none check

* add stylealigned sdxl pipeline

* bugfix

* update docs

* remove einops dependency

* update README

* update example docstring

make checkpointing compatible when using torch.compile.