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fix audioldm2 for transformers main.

This reverts commit 87e508f1.

up

* begin transformer conversion

* refactor

* refactor

* refactor

* refactor

* refactor

* refactor

* update

* add conversion script

* add pipeline

* make fix-copies

* remove einops

* update docs

* gradient checkpointing

* add transformer test

* update

* debug

* remove prints

* match sigmas

* add vae pt. 1

* finish CV* vae

* update

* update

* update

* update

* update

* update

* make fix-copies

* update

* make fix-copies

* fix

* update

* update

* make fix-copies

* update

* update tests

* handle device and dtype for safety checker; required in latest diffusers

* remove enable_gqa and use repeat_interleave instead

* enforce safety checker; use dummy checker in fast tests

* add review suggestion for ONNX export
Co-Authored-By: Asfiya Baig <asfiyab@nvidia.com>

* fix safety_checker issues when not passed explicitly

We could either do what's done in this commit, or update the Cosmos examples to explicitly pass the safety checker

* use cosmos guardrail package

* auto format docs

* update conversion script to support 14B models

* update name CosmosPipeline -> CosmosTextToWorldPipeline

* update docs

* fix docs

* fix group offload test failing for vae

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Co-authored-by: Asfiya Baig <asfiyab@nvidia.com>

* add transformer

* add pipeline

* fixes

* make fix-copies

* update

* add flux mu shift

* update example snippet

* debug

* cleanup

* batch_size=1 optimization

* add pipeline test

* fix for model cpu offloading'

* add last_image support; credits: https://github.com/lllyasviel/FramePack/pull/167

* update example with flf2v

* update penguin url

* fix test

* address review comment: https://github.com/huggingface/diffusers/pull/11428#discussion_r2071032371

* address review comment: https://github.com/huggingface/diffusers/pull/11428#discussion_r2071087689



* Update src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_framepack.py

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

* Fix typos in docs and comments

* Apply style fixes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Add generic support for Intel Gaudi accelerator (hpu device)
Signed-off-by: Daniel Socek <daniel.socek@intel.com>
Co-authored-by: Libin Tang <libin.tang@intel.com>

* Add loggers for generic HPU support
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Refactor hpu support with is_hpu_available() logic
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Fix style for hpu support update
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Decouple soft HPU check from hard device validation to support HPU migration
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

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Signed-off-by: Daniel Socek <daniel.socek@intel.com>
Co-authored-by: Libin Tang <libin.tang@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Fixing missing provider options argument

* Adding if else for provider options

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

* Apply style fixes

* Update src/diffusers/pipelines/onnx_utils.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/onnx_utils.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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Co-authored-by: Uros Petkovic <urpektov@amd.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

update

* Kolors additional pipelines, community contrib

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

update

up

* initial commit

* initial commit

* initial commit

* initial commit

* initial commit

* initial commit

* Update examples/dreambooth/train_dreambooth_lora_hidream.py
Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>

* move prompt embeds, pooled embeds outside

* Update examples/dreambooth/train_dreambooth_lora_hidream.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update examples/dreambooth/train_dreambooth_lora_hidream.py
Co-authored-by: hlky <hlky@hlky.ac>

* fix import

* fix import and tokenizer 4, text encoder 4 loading

* te

* prompt embeds

* fix naming

* shapes

* initial commit to add HiDreamImageLoraLoaderMixin

* fix init

* add tests

* loader

* fix model input

* add code example to readme

* fix default max length of text encoders

* prints

* nullify training cond in unpatchify for temp fix to incompatible shaping of transformer output during training

* smol fix

* unpatchify

* unpatchify

* fix validation

* flip pred and loss

* fix shift!!!

* revert unpatchify changes (for now)

* smol fix

* Apply style fixes

* workaround moe training

* workaround moe training

* remove prints

* to reduce some memory, keep vae in `weight_dtype` same as we have for flux (as it's the same vae)
https://github.com/huggingface/diffusers/blob/bbd0c161b55ba2234304f1e6325832dd69c60565/examples/dreambooth/train_dreambooth_lora_flux.py#L1207



* refactor to align with HiDream refactor

* refactor to align with HiDream refactor

* refactor to align with HiDream refactor

* add support for cpu offloading of text encoders

* Apply style fixes

* adjust lr and rank for train example

* fix copies

* Apply style fixes

* update README

* update README

* update README

* fix license

* keep prompt2,3,4 as None in validation

* remove reverse ode comment

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

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

* vae offload change

* fix text encoder offloading

* Apply style fixes

* cleaner to_kwargs

* fix module name in copied from

* add requirements

* fix offloading

* fix offloading

* fix offloading

* update transformers version in reqs

* try AutoTokenizer

* try AutoTokenizer

* Apply style fixes

* empty commit

* Delete tests/lora/test_lora_layers_hidream.py

* change tokenizer_4 to load with AutoTokenizer as well

* make text_encoder_four and tokenizer_four configurable

* save model card

* save model card

* revert T5

* fix test

* remove non diffusers lumina2 conversion

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Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

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

* bug fix kadinsky pipeline

update

* update transformer

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

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

* add

* update

* update

* update

* update

* fix hidream docstrings.

* fix

* empty commit

* fix CPU offloading related fail cases on XPU
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* Apply style fixes

* trigger tests

* test_pipe_same_device_id_offload

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Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>

* Add AuraFlowLoraLoaderMixin

* Add comments, remove qkv fusion

* Add Tests

* Add AuraFlowLoraLoaderMixin to documentation

* Add Suggested changes

* Change attention_kwargs->joint_attention_kwargs

* Rebasing derp.

* fix

* fix

* Quality fixes.

* make style

* `make fix-copies`

* `ruff check --fix`

* Attept 1 to fix tests.

* Attept 2 to fix tests.

* Attept 3 to fix tests.

* Address review comments.

* Rebasing derp.

* Get more tests passing by copying from Flux. Address review comments.

* `joint_attention_kwargs`->`attention_kwargs`

* Add `lora_scale` property for te LoRAs.

* Make test better.

* Remove useless property.

* Skip TE-only tests for AuraFlow.

* Support LoRA for non-CLIP TEs.

* Restore LoRA tests.

* Undo adding LoRA support for non-CLIP TEs.

* Undo support for TE in AuraFlow LoRA.

* `make fix-copies`

* Sync with upstream changes.

* Remove unneeded stuff.

* Mirror `Lumina2`.

* Skip for MPS.

* Address review comments.

* Remove duplicated code.

* Remove unnecessary code.

* Remove repeated docs.

* Propagate attention.

* Fix TE target modules.

* MPS fix for LoRA tests.

* Unrelated TE LoRA tests fix.

* Fix AuraFlow LoRA tests by applying to the right denoiser layers.
Co-authored-by: AstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com>

* Apply style fixes

* empty commit

* Fix the repo consistency issues.

* Remove unrelated changes.

* Style.

* Fix `test_lora_fuse_nan`.

* fix quality issues.

* `pytest.xfail` -> `ValueError`.

* Add back `skip_mps`.

* Apply style fixes

* `make fix-copies`

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Co-authored-by: Warlord-K <warlordk28@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: AstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* added controlnet for sana transformer

* improve code quality

* addressed PR comments

* bug fixes

* added test cases

* update

* added dummy objects

* addressed PR comments

* update

* Forcing update

* add to docs

* code quality

* addressed PR comments

* addressed PR comments

* update

* addressed PR comments

* added proper styling

* update

* Revert "added proper styling"

This reverts commit 344ee8a7014ada095b295034ef84341f03b0e359.

* manually ordered

* Apply suggestions from code review

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Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* HiDream Image


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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* fix attention

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* fix consisid imports

* fix opencv import

* fix

* update

* update

* update

* update

* Add support to pass image embeddings to the pipeline.



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Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Refactor `LTXConditionPipeline` to add text-only conditioning

* style

* up

* Refactor `LTXConditionPipeline` to streamline condition handling and improve clarity

* Improve condition checks

* Simplify latents handling based on conditioning type

* Refactor rope_interpolation_scale preparation for clarity and efficiency

* Update LTXConditionPipeline docstring to clarify supported input types

* Add LTX Video 0.9.5 model to documentation

* Clarify documentation to indicate support for text-only conditioning without passing `conditions`

* refactor: comment out unused parameters in LTXConditionPipeline

* fix: restore previously commented parameters in LTXConditionPipeline

* fix: remove unused parameters from LTXConditionPipeline

* refactor: remove unnecessary lines in LTXConditionPipeline

* [feat]add strength in flux_fill pipeline

* Update src/diffusers/pipelines/flux/pipeline_flux_fill.py

* Update src/diffusers/pipelines/flux/pipeline_flux_fill.py

* Update src/diffusers/pipelines/flux/pipeline_flux_fill.py

* [refactor] refactor after review

* [fix] change comment

* Apply style fixes

* empty

* fix

* update prepare_latents from flux.img2img pipeline

* style

* Update src/diffusers/pipelines/flux/pipeline_flux_fill.py

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* Fixed requests.get function call by adding timeout parameter.

* declare DIFFUSERS_REQUEST_TIMEOUT in constants and import when needed

* remove unneeded os import

* Apply style fixes

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Co-authored-by: Sai-Suraj-27 <sai.suraj.27.729@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Change LoRA Loader to StableDiffusion

Replace the SDXL LoRA Loader Mixin inheritance with the StableDiffusion one