GitLab

* 1

* change to channel 1

* cogview4 control training

* add CacheMixin

* 1

* remove initial_input_channels change for val

* 1

* update

* use 3.5

* new loss

* 1

* use imagetoken

* for megatron convert

* 1

* train con and uc

* 2

* remove guidance_scale

* Update pipeline_cogview4_control.py

* fix

* use cogview4 pipeline with timestep

* update shift_factor

* remove the uncond

* add max length

* change convert and use GLMModel instead of GLMForCasualLM

* fix

* [cogview4] Add attention mask support to transformer model

* [fix] Add attention mask for padded token

* update

* remove padding type

* Update train_control_cogview4.py

* resolve conflicts with #10981

* add control convert

* use control format

* fix

* add missing import

* update with cogview4 formate

* make style

* Update pipeline_cogview4_control.py

* Update pipeline_cogview4_control.py

* remove

* Update pipeline_cogview4_control.py

* put back

* Apply style fixes

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Co-authored-by: yiyixuxu <yixu310@gmail.com>
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* Don't use `torch_dtype` when `quantization_config` is set

* up

* djkajka

* Apply suggestions from code review

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

* 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

* 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

* Fix pipeline_flux_controlnet.py

* Fix style

* update


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

* fix_wan_i2v_quality

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/wan/pipeline_wan_i2v.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update pipeline_wan_i2v.py

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Co-authored-by: hlky <hlky@hlky.ac>

* cogview4 control training


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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

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


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

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

* Apply suggestions from code review

* update

* make fix-copies

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* add tests

* update

* add model tests

* update docs

* update

* update example

* fix defaults

* update

* fix wan i2v pipeline bugs

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* Update pipeline_flux_controlnet.py

* Update pipeline_flux_controlnet_image_to_image.py

* Update pipeline_flux_controlnet_inpainting.py

* Update pipeline_flux_controlnet_inpainting.py

* Update pipeline_flux_controlnet_inpainting.py

fix

* Update pipeline_cogview4.py

* Use GLM instead of T5 in doc

* update

* refactor image-to-video pipeline

* update

* fix copied from

* use FP32LayerNorm

* Update pipeline_animatediff.py

* Update pipeline_animatediff_controlnet.py

* Update pipeline_animatediff_sparsectrl.py

* Update pipeline_animatediff_video2video.py

* Update pipeline_animatediff_video2video_controlnet.py

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* 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

* rename transformer file

* 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

* update _toctree.yml

* fix test

* update

* update

* update

* make fix-copies

* fix tests

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
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fix-copies went uncaught it seems.

* Support IPAdapter for more Flux pipelines

* -copied from

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

* 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

* Apply suggestions from code review

* style

* Update scripts/convert_wan_to_diffusers.py

* update docs

* fix

---------
Co-authored-by: Yitong Huang <huangyitong.hyt@alibaba-inc.com>
Co-authored-by: 亚森 <wangjiayu.wjy@alibaba-inc.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* ControlNet Union scale

* fix

* universal interface

* from_multi

* from_multi

* Update pipeline_controlnet_img2img.py

* Update pipeline_controlnet_inpaint.py

* Update pipeline_controlnet.py

---------

* 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>

Fix Callback Tensor Inputs of the SDXL Controlnet Inpaint and Img2img Pipelines are missing "controlnet_image". (#10880)

* Update pipeline_controlnet_inpaint_sd_xl.py

* Update pipeline_controlnet_sd_xl_img2img.py

* Update pipeline_controlnet_union_inpaint_sd_xl.py

* Update pipeline_controlnet_union_sd_xl_img2img.py

* Update pipeline_controlnet_inpaint_sd_xl.py

* Update pipeline_controlnet_sd_xl_img2img.py

* Update pipeline_controlnet_union_inpaint_sd_xl.py

* Update pipeline_controlnet_union_sd_xl_img2img.py

* Apply make style and make fix-copies fixes

* Update geodiff_molecule_conformation.ipynb

* Delete examples/research_projects/geodiff/geodiff_molecule_conformation.ipynb

* Delete examples/research_projects/gligen/demo.ipynb

* Create geodiff_molecule_conformation.ipynb

* Create demo.ipynb

* Update geodiff_molecule_conformation.ipynb

* Update geodiff_molecule_conformation.ipynb

* Delete examples/research_projects/geodiff/geodiff_molecule_conformation.ipynb

* Add files via upload

* Delete src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py

* Add files via upload

* Initial implementation of Flux multi IP-Adapter

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/pipelines/flux/pipeline_flux.py
Co-authored-by: hlky <hlky@hlky.ac>

* 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
Co-authored-by: hlky <hlky@hlky.ac>

* make style && make quality

* Updated ip_adapter test

* Created typing_utils.py

---------
Co-authored-by: hlky <hlky@hlky.ac>

Co-authored-by: puhuk <wetr235@gmail.com>

* 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

* make fix-copies

* update

* tests

* update

* update

* add co-author
Co-Authored-By: Langdx <82783347+Langdx@users.noreply.github.com>

* add co-author
Co-Authored-By: howe <howezhang2018@gmail.com>

* update

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Co-authored-by: howe <howezhang2018@gmail.com>