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* update

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* add tests

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* raise value error

* warning for true cfg and guidance scale

* fix test

* Don't use `torch_dtype` when `quantization_config` is set

* up

* djkajka

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* add sana-sprint




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* init

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* apply_faster_cache -> apply_fastercache

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* 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

* enable bnb on xpu

* add 2 more cases

* add missing change

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* add one more

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* add requires peft decorator.

* install peft conditionally.

* conditional deps.
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* restrict memory tests for quanto for certain schemes.

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* fixes

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


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* move to warning.

* test related changes.

* [hybrid inference 🍯🐝

] Add VAE encode

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* memory usage tests

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* updates

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* notebooks revert

* fix-copies.

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* fixes

* fixes

* fixes

* remove print

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* conflicts ii.

* updates

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* better filtering of prefix.

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* added support for from_single_file

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* update

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fix tests

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* initial comit

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* with gc.collect

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* Update EasyAnimate V5.1

* Add docs && add tests && Fix comments problems in transformer3d and vae

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* Fix processor problem

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* fix docs path

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* fix-copies went uncaught it seems.

* remove more unneeded encode_prompt() tests

* Revert "fix-copies went uncaught it seems."

This reverts commit eefb302791172a4fb8ef008e400f94878de2c6c9.

* empty

* Add `remote_decode` to `remote_utils`

* test dependency

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* skeleton for xl, flux

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* Support IPAdapter for more Flux pipelines

* -copied from

---------
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* Add wanx pipeline, model and example

* wanx_merged_v1

* change WanX into Wan

* fix i2v fp32 oom error

Link: https://code.alibaba-inc.com/open_wanx2/diffusers/codereview/20607813



* support t2v load fp32 ckpt

* add example

* final merge v1

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* up up

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* up more

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* [refactor] [wip] Wan transformer/pipeline (#10926)

* update

* update

* refactor rope

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* update

* update

* make style

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* tests

* conversion script

* conversion script

* update

* docs

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* fix _toctree.yml

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* up

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* Apply suggestions from code review

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* update

* update

* update

* update

* update

---------
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fix: lumina2 lora fuse_nan test

* minor documentation fixes of the depth and normals pipelines

* update license headers

* update model checkpoints in examples
fix missing prediction_type in register_to_config in the normals pipeline

* add initial marigold intrinsics pipeline
update comments about num_inference_steps and ensemble_size
minor fixes in comments of marigold normals and depth pipelines

* update uncertainty visualization to work with intrinsics

* integrate iid


---------
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* Initial implementation of Flux multi IP-Adapter

* Update src/diffusers/pipelines/flux/pipeline_flux.py
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* Update src/diffusers/pipelines/flux/pipeline_flux.py
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* Changes for ipa image embeds

* Update src/diffusers/pipelines/flux/pipeline_flux.py
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* Update src/diffusers/pipelines/flux/pipeline_flux.py
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* make style && make quality

* Updated ip_adapter test

* Created typing_utils.py

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* Fix `torch_dtype` in Kolors text encoder with `transformers` v4.49

* Default torch_dtype and warning

* More robust from_pretrained init_kwargs type checking

* Corrected for Python 3.10

* Type checks subclasses and fixed type warnings

* More type corrections and skip tokenizer type checking

* make style && make quality

* Updated docs and types for Lumina pipelines

* Fixed check for empty signature

* changed location of helper functions

* make style

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update