GitLab

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.5 to 3.1.6.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.5...3.1.6

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

removed synchornized.

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

fix tests

[train_dreambooth_lora.py] Fix the LR Schedulers when `num_train_epochs` is passed in a distributed training env (#10973)

* updated train_dreambooth_lora to fix the LR schedulers for `num_train_epochs` in distributed training env

* fixed formatting

* remove trailing newlines

* fixed style error

use style bot GH action from hfh
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix t5 training bug

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

fix

* Update pipeline_cogview4.py

* Use GLM instead of T5 in doc

* feat: add Mixture-of-Diffusers ControlNet Tile upscaler Pipeline for SDXL

* make style make quality

* Fix seed initialization to handle args.seed = 0 correctly

* Apply style fixes

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* update

* refactor image-to-video pipeline

* update

* fix copied from

* use FP32LayerNorm

Update quantization_config.py

* [Quantization] support pass MappingType for TorchAoConfig

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: support non-diffusers lumina2 LoRAs.

* revert ipynb changes (but I don't know why this is required ☹

️)

* empty

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update evaluation.md

* Update docs/source/en/conceptual/evaluation.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

* initial comit

* fix empty cache

* fix one more

* fix style

* update device functions

* update

* update

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/controlnet/test_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update src/diffusers/utils/testing_utils.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/controlnet/test_controlnet.py
Co-authored-by: hlky <hlky@hlky.ac>

* with gc.collect

* update

* make style

* check_torch_dependencies

* add mps empty cache

* add changes

* bug fix

* enable on xpu

* update more cases

* revert

* revert back

* Update test_stable_diffusion_xl.py

* Update tests/pipelines/stable_diffusion/test_stable_diffusion.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/stable_diffusion/test_stable_diffusion.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
Co-authored-by: hlky <hlky@hlky.ac>

* Update tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
Co-authored-by: hlky <hlky@hlky.ac>

* Apply suggestions from code review
Co-authored-by: hlky <hlky@hlky.ac>

* add test marker

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

* Update ip_adapter.py

* Update ip_adapter.py

* Update ip_adapter.py

* Update ip_adapter.py

* Update ip_adapter.py

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>

* Add example of Ip-Adapter-Callback.

* Add image links from HF Hub.

* 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>

* Fix SD2.X clip single file load projection_dim

Infer projection_dim from the checkpoint before loading
from pretrained, override any incorrect hub config.

Hub configuration for SD2.X specifies projection_dim=512
which is incorrect for SD2.X checkpoints loaded from civitai
and similar.

Exception was previously thrown upon attempting to
load_model_dict_into_meta for SD2.X single file checkpoints.

Such LDM models usually require projection_dim=1024

* convert_open_clip_checkpoint use hidden_size for text_proj_dim

* convert_open_clip_checkpoint, revert checkpoint[text_proj_key].shape[1] -> [0]

values are identical

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Co-authored-by: Teriks <Teriks@users.noreply.github.com>
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

---------
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fix-copies went uncaught it seems.

* remove more unneeded encode_prompt() tests

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

This reverts commit eefb302791172a4fb8ef008e400f94878de2c6c9.

* empty

fix-copies went uncaught it seems.

* 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

* Apply style fixes

* comments

* hybrid_inference/vae_decode

* fix

* tip?

* tip

* api reference autodoc

* install tip

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Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Support IPAdapter for more Flux pipelines

* -copied from

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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>

update

* improve security for the stylebot.

* ❌

* ControlNet Union scale

* fix

* universal interface

* from_multi

* from_multi

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* Update pipeline_controlnet_img2img.py

* Update pipeline_controlnet_inpaint.py

* Update pipeline_controlnet.py

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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>