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* update

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no cuda only

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* add tests

* update docs

* raise value error

* warning for true cfg and guidance scale

* fix test

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

* up

* djkajka

* Apply suggestions from code review

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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

* _toctree: add vae encode

* Add endpoints, tests

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* memory usage tests

* fixes

* gguf

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* notebooks revert

* fix-copies.

* seeing

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* fixes

* fixes

* fixes

* remove print

* fix

* conflicts ii.

* updates

* fixes

* 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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* refactor image-to-video pipeline

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* initial comit

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* with gc.collect

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* Update test_stable_diffusion_xl.py

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* Update tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
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* Update tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
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* add test marker

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* Update EasyAnimate V5.1

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

* delete comments and remove useless import

* delete process

* Update EXAMPLE_DOC_STRING

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* make fix-copies

* make style

* refactor pt. 1

* update toctree.yml

* add model tests

* Update layer_norm for norm_added_q and norm_added_k in Attention

* Fix processor problem

* refactor vae

* Fix problem in comments

* refactor tiling; remove einops dependency

* fix docs path

* make fix-copies

* Update src/diffusers/pipelines/easyanimate/pipeline_easyanimate_control.py

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* fix test

* update

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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

* test dependency

* dependency

* dependency

* dependency

* docstrings

* changes

* make style

* apply

* revert, add new options

* Apply style fixes

* deprecate base64, headers not needed

* address comments

* add license header

* init test_remote_decode

* more

* more test

* more test

* skeleton for xl, flux

* more test

* flux test

* flux packed

* no scaling

* -save

* hunyuanvideo test

* Apply style fixes

* init docs

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

* comments

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* comments

* hybrid_inference/vae_decode

* fix

* tip?

* tip

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* install tip

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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

* Update autoencoder_kl_wan.py

* up

* update middle, test up_block

* up up

* one less nn.sequential

* up more

* up

* more

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

* update

* update

* refactor rope

* refactor pipeline

* make fix-copies

* add transformer test

* update

* update

* make style

* update tests

* tests

* conversion script

* conversion script

* update

* docs

* remove unused code

* fix _toctree.yml

* update dtype

* fix test

* fix tests: scale

* up

* more

* Apply suggestions from code review

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* style

* Update scripts/convert_wan_to_diffusers.py

* update docs

* fix

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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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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* 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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