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* 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>

[lora_conversion] Enhance key handling for OneTrainer components in LORA conversion utility (#11441) (#11487)

* [lora_conversion] Enhance key handling for OneTrainer components in LORA conversion utility (#11441)

* Update src/diffusers/loaders/lora_conversion_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* use removeprefix to preserve sanity.

* f-string.

* update dep table.

* fix

* feat: enable quantization for hidream lora training.

* better handle compute dtype.

* finalize.

* fix dtype.

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

* implement tiled encode/decode

* address review comments

* cache packages_distributions

* remove unused exception reference

* make style
Signed-off-by: Vladimir Mandic <mandic00@live.com>

* change name to _package_map

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
Co-authored-by: DN6 <dhruv.nair@gmail.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>

* [tests] Add torch.compile() test for WanTransformer3DModel

* fix wan recompilation issues.

* style

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Co-authored-by: tongyu0924 <winnie920924@gmail.com>

* make autoencoders. controlnet_flux and wan_transformer3d_single_file
pass on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* Apply style fixes

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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: Aryan <aryan@huggingface.co>

* 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>

udpate

raise warning instead of error

* 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>

* enable gguf test cases on XPU
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* make SD35LargeGGUFSingleFileTests::test_pipeline_inference pas
Signed-off-by: root <root@a4bf01945cfe.jf.intel.com>

* make FluxControlLoRAGGUFTests::test_lora_loading pass
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* polish code
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* Apply style fixes

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Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Signed-off-by: root <root@a4bf01945cfe.jf.intel.com>
Signed-off-by: Yao Matrix <matrix.yao@intel.com>
Co-authored-by: root <root@a4bf01945cfe.jf.intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* enable test_layerwise_casting_memory cases on XPU
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

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

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Signed-off-by: Yao Matrix <matrix.yao@intel.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

* fix

* add tests

* add message check

up

update

* 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>

* Add stochastic sampling to FlowMatchEulerDiscreteScheduler

This PR adds stochastic sampling to FlowMatchEulerDiscreteScheduler based on https://github.com/Lightricks/LTX-Video/commit/b1aeddd7ccac85e6d1b0d97762610ddb53c1b408

  ltx_video/schedulers/rf.py

* Apply style fixes

* Use config value directly

* Apply style fixes

* Swap order

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

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

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

* update

* update

* addressed PR comments

* update

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

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

[cogview4][feat] Support attention mechanism with variable-length support and batch packing (#11349)

* [cogview4] Enhance attention mechanism with variable-length support and batch packing

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

* Update outputs.py

* bug fix kadinsky pipeline

update

up

* update transformer

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

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

* improve dtype mismatch handling for bnb + lora.

* add a test

* fix and updates

* update

* add

* propagate hotswap to other load_lora_weights() methods.

* simplify documentations.

* updates

* propagate to load_lora_into_text_encoder.

* empty commit