GitLab

* Setup LEdits++ file structure

* Fix import

* LEditsPP Stable Diffusion pipeline

* Include variable image aspect ratios

* Implement LEDITS++ for SDXL

* clean up LEditsPPPipelineStableDiffusion

* Adjust inversion output

* Added docu, more cleanup for LEditsPPPipelineStableDiffusion

* clean up LEditsPPPipelineStableDiffusionXL

* Update documentation

* Fix documentation import

* Add skeleton IF implementation

* Fix documentation typo

* Add LEDTIS docu to toctree

* Add missing title

* Finalize SD documentation

* Finalize SD-XL documentation

* Fix code style and quality

* Fix typo

* Fix return types

* added LEditsPPPipelineIF; minor changes for LEditsPPPipelineStableDiffusion and LEditsPPPipelineStableDiffusionXL

* Fix copy reference

* add documentation for IF

* Add first tests

* Fix batching for SD-XL

* Fix text encoding and perfect reconstruction for SD-XL

* Add tests for SD-XL, minor changes

* move user_mask to correct device, use cross_attention_kwargs also for inversion

* Example docstring

* Fix attention resolution for non-square images

* Refactoring for PR review

* Safely remove ledits_utils.py

* Style fixes

* Replace assertions with ValueError

* Remove LEditsPPPipelineIF

* Remove unecessary input checks

* Refactoring of CrossAttnProcessor

* Revert unecessary changes to scheduler

* Remove first progress-bar in inversion

* Refactor scheduler usage and reset

* Use imageprocessor instead of custom logic

* Fix scheduler init warning

* Fix error when running the pipeline in fp16

* Update documentation wrt perfect inversion

* Update tests

* Fix code quality and copy consistency

* Update LEditsPP import

* Remove enable/disable methods that are now in StableDiffusionMixin

* Change import in docs

* Revert import structure change

* Fix ledits imports

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Co-authored-by: Katharina Kornmeier <katharina.kornmeier@stud.tu-darmstadt.de>

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* updates

* update

* update

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

* update

* update

* update

* update

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>

clean residue from copy-pasting

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* fix PyTorch classes and start deprecsation cycles.

* remove args crafting for accommodating scale.

* remove scale check in feedforward.

* assert against nn.Linear and not CompatibleLinear.

* remove conv_cls and lineaR_cls.

* remove scale

* 👋

 scale.

* fix: unet2dcondition

* fix attention.py

* fix: attention.py again

* fix: unet_2d_blocks.

* fix-copies.

* more fixes.

* fix: resnet.py

* more fixes

* fix i2vgenxl unet.

* depcrecate scale gently.

* fix-copies

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* quality

* throw warning when scale is passed to the the BasicTransformerBlock class.

* remove scale from signature.

* cross_attention_kwargs, very nice catch by Yiyi

* fix: logger.warn

* make deprecation message clearer.

* address final comments.

* maintain same depcrecation message and also add it to activations.

* address yiyi

* fix copies

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* more depcrecation

* fix-copies

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

switch to logger.warning

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

remove sigma scaling when computing cfg
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

[Dockerfiles] add: a workflow to check if docker containers can be built in case of modifications (#7129)

* add: a workflow to check if docker containers can be built if the files are modified.

* type

* unify docker image build test and push

* make it run on prs too.

* check

* check

* check

* check again.

* remove docker test build file.

* remove extra dependencies./

* check

inline InputPadder

* update latents_mean and latents_std

* fix typos

* Update src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py

* format

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Co-authored-by: ResearcherXman <xhs.research@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* remove sys.path

* update readme

remove tf mention

* fix returns and docs

* handle latent output_type correctly

* revert to old tensor2vid impl

* make fix-copies

* fix return in community animatediff pipes

* fix return docstring

* fix return docs

* add missing quote

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

[UNet_Spatio_Temporal_Condition] fix default num_attention_heads in unet_spatio_temporal_condition (#7205)

fix default num_attention_heads in unet_spatio_temporal_condition
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update the signature of from_single_file

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

[Community Pipeline] Skip Marigold depth_colored generation by passing color_map=None

* Add npu support

* fix for code quality check

* fix for code quality check

* Initial commit

* Removed copy hints, as in original SDXLControlNetPipeline

Removed copy hints, as in original SDXLControlNetPipeline, as the `make fix-copies` seems to have issues with the @property decorator.

* Reverted changes to ControlNetXS

* Addendum to: Removed changes to ControlNetXS

* Added test+docs for mixture of denoiser

* Update docs/source/en/using-diffusers/controlnet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/using-diffusers/controlnet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* fix parameter name

* feedback

* add no mask version

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

* debig

* cast tuples to lists.

* debug

* handle upcast attention

* handle downblock types for vae.

* remove print.

* address Dhruv's comments.

* fix: upblock types.

* upcast attention

* debug

* debug

* debug

* better guarding.

* style

* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.

* Update src/diffusers/models/unet_2d_blocks.py

This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/models/unet_2d_blocks.py

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

* Update unet_2d_blocks.py

I changed the Parameter to Args text.

* Update unet_2d_blocks.py

proper indentation set in this file.

* Update unet_2d_blocks.py

a little bit of change in the act_fun argument line.

* I run the black command to reformat style in the code

* Update unet_2d_blocks.py

similar doc-string add to have in the original diffusion repository.

* Fix bug for mention in this issue section #6901

* Update src/diffusers/schedulers/scheduling_ddim_flax.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Fix linter

* Restore empty line

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* make mid block optional for flax UNet

* make style

* fix: save_model_card utility.

* fix a little more to make it more lenient.

* remove lower()

* copied from for t2i pipelines without ip adapter support.

* two more pipelines with proper copied from comments.

* revert to the original implementation

* debug

* checking

* fix more

* remove device.

* fix-copies

* throw error when patch inputs and layernorm are provided for transformers2d.

* add comment on supported norm_types in transformers2d

* more check

* fix: norm _type handling

* tips

* feedback

* callback only

* use self.device

* use device

* fix

* fix

* merge loras

* feedback

* torch.compile

* feedback

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

update

* fix: support for loading playground v2.5 single file checkpoint.

* remove is_playground_model.

* fix: edm key

* apply Dhruv's comments but errors.

* fix: things.

* delegate model_type inference to a function.

* address Dhruv's comment.

* address rest of the comments.

* fix: kwargs

* fix

* update

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

fix: prior preservation setting in DreamBooth LoRA SDXL script.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

fix: remove duplicate code in TemporalBasicTransformerBlock.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* dora in canonical script

* add mention of DoRA to readme

refactor: inherit from DiffusionPipeline instead of StableDiffusionPipeline