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* Fixing missing provider options argument

* Adding if else for provider options

* Apply suggestions from code review
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* Apply style fixes

* Update src/diffusers/pipelines/onnx_utils.py
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* Update src/diffusers/pipelines/onnx_utils.py
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* enable gguf test cases on XPU
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* make SD35LargeGGUFSingleFileTests::test_pipeline_inference pas
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* make FluxControlLoRAGGUFTests::test_lora_loading pass
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* polish code
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* Apply style fixes

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* enable test_layerwise_casting_memory cases on XPU
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* fix style
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update

* Kolors additional pipelines, community contrib

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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
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* move prompt embeds, pooled embeds outside

* Update examples/dreambooth/train_dreambooth_lora_hidream.py
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* Update examples/dreambooth/train_dreambooth_lora_hidream.py
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* 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
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* Update examples/dreambooth/train_dreambooth_lora_hidream.py
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* 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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* 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
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* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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* update

* update

* addressed PR comments

* update

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[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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* Update outputs.py

* bug fix kadinsky pipeline

update

up

* update transformer

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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

* update

* update

* enable telemetry for single file loading when using GGUF.

* quality

* update

* update

fix

* post release

* update

* fix deprecations

* remaining

* update

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* Update pe_selection_index_based_on_dim

* Make pe_selection_index_based_on_dim work with torh.compile

* Fix AuraFlowTransformer2DModel's dpcstring default values

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* fix hidream docstrings.

* fix

* empty commit

* fix CPU offloading related fail cases on XPU
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* fix style
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* Apply style fixes

* trigger tests

* test_pipe_same_device_id_offload

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* 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.
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* 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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* add

* fix-copies

* support more SDXL loras.

* update

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