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Correct pipeline_output.py

* Modify apply_overlay for inpainting

* style

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Co-authored-by: root <root@debian>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

update comments of load_ip_adapter function

update file paths to research_projects folder.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update pipeline_flux_img2img.py

Added FromSingleFileMixin to this pipeline loader like the other FLUX pipelines.

* Update pipeline_flux_img2img.py

typo

* modified:   src/diffusers/pipelines/flux/pipeline_flux_img2img.py

fix progress bar updates in SD 1.5 PAG Img2Img pipeline

* Add Notebooks on Community Scripts

* Feature IP Adapter Xformers Attention Processor: this fix error loading incorrect attention processor when setting Xformers attn after load ip adapter scale, issues: #8863 #8872

Revert "[Flux] reduce explicit device transfers and typecasting in flux. (#9817)"

This reverts commit 5588725e.

fix: gradient unscaling problem
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* fix use_dora

* fix style and quality

* fix use_dora with peft version

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

* refactored

fix shutil.copy

* update

* update

* update

* update

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

reduce explicit device transfers and typecasting in flux.

* move vae flax module.

* controlnet module.

* prepare for PR.

* revert a commit

* gracefully deprecate controlnet deps.

* fix

* fix doc path

* fix-copies

* fix path

* style

* style

* conflicts

* fix

* fix-copies

* sparsectrl.

* updates

* fix

* updates

* updates

* updates

* fix

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

* updated encode prompt and clip encod prompt


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

* Add new community pipeline for 'Adaptive Mask Inpainting', introduced in [ECCV2024] Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

Fix: Remove duplicated comma
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix test

* fix test asser

* fix format

* Update test_lora_layers_sd3.py

* update

* udpate

* update transformer

* make style

* fix

* add conversion script

* update

* fix

* update

* fix

* update

* fixes

* make style

* update

* update

* update

* init

* update

* update

* add

* up

* up

* up

* update

* mochi transformer

* remove original implementation

* make style

* update inits

* update conversion script

* docs

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fix docs

* pipeline fixes

* make style

* invert sigmas in scheduler; fix pipeline

* fix pipeline num_frames

* flip proj and gate in swiglu

* make style

* fix

* make style

* fix tests

* latent mean and std fix

* update

* cherry-pick 1069d210e1b9e84a366cdc7a13965626ea258178

* remove additional sigma already handled by flow match scheduler

* fix

* remove hardcoded value

* replace conv1x1 with linear

* Update src/diffusers/pipelines/mochi/pipeline_mochi.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* framewise decoding and conv_cache

* make style

* Apply suggestions from code review

* mochi vae encoder changes

* rebase correctly

* Update scripts/convert_mochi_to_diffusers.py

* fix tests

* fixes

* make style

* update

* make style

* update

* add framewise and tiled encoding

* make style

* make original vae implementation behaviour the default; note: framewise encoding does not work

* remove framewise encoding implementation due to presence of attn layers

* fight test 1

* fight test 2

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

* Refac training utils.py

* quality

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

* add first draft.

* fix

* updates.

* updates.

* updates

* updates

* updates.

* fix-copies

* lora constants.

* add tests

* Apply suggestions from code review
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* docstrings.

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Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* enable cpu ability

* model creation + comprehensive testing

* training + tests

* all tests working

* remove unneeded files + clarify docs

* update train tests

* update readme.md

* remove data from gitignore

* undo cpu enabled option

* Update README.md

* update readme

* code quality fixes

* diffusion policy example

* update readme

* add pretrained model weights + doc

* add comment

* add documentation

* add docstrings

* update comments

* update readme

* fix code quality

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

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

* suggestions + safe globals for weights_only=True

* suggestions + safe weights loading

* fix code quality

* reformat file

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

* Improve NPU performance

* Improve NPU performance

* Improve NPU performance

* Improve NPU performance

* [bugfix] bugfix for npu free memory

* [bugfix] bugfix for npu free memory

* [bugfix] bugfix for npu free memory

* Reduce memory cost for flux training process

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Co-authored-by: 蒋硕 <jiangshuo9@h-partners.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Handling mixed precision and add unwarp
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

Update train_controlnet_flux.py

Fix the problem of inconsistency between size of image and size of validation_image which causes np.stack to report error.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix from_pretrained and added test

* make style

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

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

* NPU implementation for FLUX

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Co-authored-by: 蒋硕 <jiangshuo9@h-partners.com>

* modelcard generation edit

* add missed tag

* fix param name

* fix var

* change str to dict

* add use_dora check

* use correct tags for lora

* make style && make quality

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Co-authored-by: Aryan <aryan@huggingface.co>

Revert "[LoRA] fix: lora loading when using with a device_mapped model. (#9449)"

This reverts commit 41e4779d.

* fix: lora loading when using with a device_mapped model.

* better attibutung

* empty
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* minors

* better error messages.

* fix-copies

* add: tests, docs.

* add hardware note.

* quality

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

* fixes

* skip properly.

* fixes

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Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add a marker for big gpu tests

* update

* trigger on PRs temporarily.

* onnx

* fix

* total memory

* fixes

* reduce memory threshold.

* bigger gpu

* empty

* g6e

* Apply suggestions from code review

* address comments.

* fix

* fix

* fix

* fix

* fix

* okay

* further reduce.

* updates

* remove

* updates

* updates

* updates

* updates

* fixes

* fixes

* updates.

* fix

* workflow fixes.

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Co-authored-by: Aryan <aryan@huggingface.co>

* check.

* fixes

* fixes

* updates

* fixes

* fixes

* use the lr when using 8bit adam.

* remove lr as we pack it in params_to_optimize.

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

[training] fixes to the quantization training script and add AdEMAMix optimizer as an option (#9806)

* fixes

* more fixes.

new runner.

fix

* update

* refactor transformer part 1

* refactor part 2

* refactor part 3

* make style

* refactor part 4; modeling tests

* make style

* refactor part 5

* refactor part 6

* gradient checkpointing

* pipeline tests (broken atm)

* update

* add coauthor
Co-Authored-By: Huan Yang <hyang@fastmail.com>

* refactor part 7

* add docs

* make style

* add coauthor
Co-Authored-By: YiYi Xu <yixu310@gmail.com>

* make fix-copies

* undo unrelated change

* revert changes to embeddings, normalization, transformer

* refactor part 8

* make style

* refactor part 9

* make style

* fix

* apply suggestions from review

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

* update example

* remove attention mask for self-attention

* update

* copied from

* update

* update

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Co-authored-by: Huan Yang <hyang@fastmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>