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* add sana-sprint




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* init

* update

* update

* update

* make style

* update

* fix

* make it work with guidance distilled models

* update

* make fix-copies

* add tests

* update

* apply_faster_cache -> apply_fastercache

* fix

* reorder

* update

* refactor

* update docs

* add fastercache to CacheMixin

* update tests

* Apply suggestions from code review

* make style

* try to fix partial import error

* Apply style fixes

* raise warning

* update

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* Update pipeline_controlnet_inpaint.py

* Apply style fixes

Add 4 Notebooks and update the missing links for the
example README.

up

* update

* update

* clean up

* enable bnb on xpu

* add 2 more cases

* add missing change

* add missing change

* add one more

* enable cuda only tests on xpu

* enable big gpu cases

* Flux img2img remote encode

* Flux inpaint

* -copied from

* fix bug when pixart-dmd inference with `num_inference_steps=1`

* use return_dict=False and return [1] element for 1-step pixart model, which works for both lcm and dmd

* enable bnb on xpu

* add 2 more cases

* add missing change

* add missing change

* add one more

* @hlky t2v->i2v

* Apply style fixes

* try with ones to not nullify layers

* fix method name

* revert to zeros

* add check to state_dict keys

* add comment

* copies fix

* Revert "copies fix"

This reverts commit 051f534d185c0ea065bf36a9926c4b48f496d429.

* remove copied from

* Update src/diffusers/loaders/lora_pipeline.py
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* Update src/diffusers/loaders/lora_pipeline.py
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* update

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* Update src/diffusers/loaders/lora_pipeline.py
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* Apply style fixes

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* add disc_optimizer step (not fix)

* support syncbatchnorm in discriminator

uninstall deps properly from pr gpu tests.

* Quality options in `export_to_video`

* make style

* update

* update

Modify UNet's ResNet implementation to resolve stride mismatch in Torch's DDP

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* Fix pipeline_flux_controlnet.py

* Fix style

update

* update


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* fix_wan_i2v_quality

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
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* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
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* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
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* Update pipeline_wan_i2v.py

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pin transformers version for benchmarking.

* cogview4 control training


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* add requires peft decorator.

* install peft conditionally.

* conditional deps.
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reverts accidental change that removes attn_mask in attn. Improves flux ptxla by using flash block sizes. Moves encoding outside the for loop.
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[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training
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feat: support non-diffusers wan t2v loras.

* restrict memory tests for quanto for certain schemes.

* Apply suggestions from code review
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* fixes

* style

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* get_1d_rotary_pos_embed support npu

* Update src/diffusers/models/embeddings.py

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compact writing
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* Rename Lumina(2)Text2ImgPipeline -> Lumina(2)Pipeline


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* move to warning.

* test related changes.

* Wan Pipeline scaling fix, type hint warning, multi generator fix

* Apply suggestions from code review

* [hybrid inference 🍯🐝

] Add VAE encode

* _toctree: add vae encode

* Add endpoints, tests

* vae_encode docs

* vae encode benchmarks

* api reference

* changelog

* Update docs/source/en/hybrid_inference/overview.md
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* update

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* update

* update

* update

Ensure that hidden_state and shift/scale are on the same device when running with multiple GPUs

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* Update lora_pipeline.py

* Apply style fixes

* fix-copies

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