GitLab

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

* Add Cascade to Auto T2I + Decoder mappings

* ruff autofix

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

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

* clean up the kohya_conversion utility

* state dict assignment

* Fix PyTorch's convention for inplace functions

* Fix import structure in __init__.py and update config loading logic in test_config.py

* Update configuration access

* Fix typos

* Trim trailing white spaces

* Fix typo in logger name

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d.

* Fix typo in step_index property description

* Revert "Update configuration access"

This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8.

* Revert "Fix import structure in __init__.py and update config loading logic in test_config.py"

This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171.

* Fix typos

* Fix typos

* Fix typos

* Fix a typo: tranform -> transform

delete vae and text encoders after use
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update

* update

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

* post-release

* quality

* pop scale from the top-level unet instead of getting it.

* improve readability.

* fix: pypi workflow deps

* revert

* gradio docs

* Update docs/source/en/api/pipelines/stable_diffusion/overview.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* changes

* changes

* changes

* Update docs/source/en/api/pipelines/stable_diffusion/overview.md

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

* Add properties and `IPAdapterTesterMixin` tests for `StableDiffusionPanoramaPipeline`

* Fix variable name typo and update comments

* Update deprecated `output_type="numpy"` to "np" in test files

* Discard changes to src/diffusers/pipelines/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py

* Update test_stable_diffusion_panorama.py

* Update numbers in README.md

* Update get_guidance_scale_embedding method to use timesteps instead of w

* Update number of checkpoints in README.md

* Add type hints and fix var name

* Fix PyTorch's convention for inplace functions

* Fix a typo

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit 74350cf65b2c9aa77f08bec7937d7a8b13edb509.

* Fix typos

* Indent

* Refactor get_guidance_scale_embedding method in LEditsPPPipelineStableDiffusionXL class

* update

* update

* update

* add edm style training

* style

* finish adding edm training feature

* import fix

* fix latents mean

* minor adjustments

* add edm to readme

* style

* fix autocast and scheduler config issues when using edm

* style

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

* add edm schedulers in doc

* add in toctree

* address reviewe comments

* log loss per image

* add commandline param for per image loss logging

* style

* debug-loss -> debug_loss

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

update

* update get_order_list if statement

* revery

* Change step_offset scheduler docstrings

* Mention it may be needed by some models

* More docstrings

These ones failed literal S&R because I performed it case-sensitive
which is fun.

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

* fix typo in UNet2DConditionModel documentation

* Fix indentation that may fix doc rendering

* Fix squished doc lines

* add tcd intro

* resolve repos

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* revise NFEs related

* change inpainting location

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

fix index in set textencoder grad
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add: support for notifying maintainers about the nightly test status

* add: a tempoerary workflow for validation.

* cancel in progress.

* runs-on

* clean up

* add: peft dep

* change device.

* multiple edits.

* remove temp workflow.

* feat: automate the process of pypi publication to some extent.

* utility to fetch the latest release branch

* correct package name.

* 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