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* Support STG for video pipelines

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update pipeline_stg_cogvideox.py

* Update pipeline_stg_hunyuan_video.py

* Update pipeline_stg_ltx.py

* Update pipeline_stg_ltx_image2video.py

* Update pipeline_stg_mochi.py

* Update pipeline_stg_hunyuan_video.py

* Update pipeline_stg_ltx.py

* Update pipeline_stg_ltx_image2video.py

* Update pipeline_stg_mochi.py

* update

* remove rescaling

* Apply style fixes

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

* 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: Langdx <82783347+Langdx@users.noreply.github.com>
Co-authored-by: howe <howezhang2018@gmail.com>

* update

* update

* start pyramid attention broadcast

* add coauthor
Co-Authored-By: Xuanlei Zhao <43881818+oahzxl@users.noreply.github.com>

* update

* make style

* update

* make style

* add docs

* add tests

* update

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

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

* Pyramid Attention Broadcast rewrite + introduce hooks (#9826)

* rewrite implementation with hooks

* make style

* update

* merge pyramid-attention-rewrite-2

* make style

* remove changes from latte transformer

* revert docs changes

* better debug message

* add todos for future

* update tests

* make style

* cleanup

* fix

* improve log message; fix latte test

* refactor

* update

* update

* update

* revert changes to tests

* update docs

* update tests

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* fix flux test

* reorder

* refactor

* make fix-copies

* update docs

* fixes

* more fixes

* make style

* update tests

* update code example

* make fix-copies

* refactor based on reviews

* use maybe_free_model_hooks

* CacheMixin

* make style

* update

* add current_timestep property; update docs

* make fix-copies

* update

* improve tests

* try circular import fix

* apply suggestions from review

* address review comments

* Apply suggestions from code review

* refactor hook implementation

* add test suite for hooks

* PAB Refactor (#10667)

* update

* update

* update

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

* update

* fix remove hook behaviour

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Co-authored-by: Xuanlei Zhao <43881818+oahzxl@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: DN6 <dhruv.nair@gmail.com>

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

* Use pipelines without vae

* getattr

* vqvae

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

update docs and example to use community weights

Update pipeline_hunyuan_video.py

docs: fix a mistake

* 1217

* 1217

* 1217

* update

* reverse

* add test

* update test

* make style

* update

* make style

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Co-authored-by: Aryan <aryan@huggingface.co>

* copy transformer

* copy vae

* copy pipeline

* make fix-copies

* refactor; make original code work with diffusers; test latents for comparison generated with this commit

* move rope into pipeline; remove flash attention; refactor

* begin conversion script

* make style

* refactor attention

* refactor

* refactor final layer

* their mlp -> our feedforward

* make style

* add docs

* refactor layer names

* refactor modulation

* cleanup

* refactor norms

* refactor activations

* refactor single blocks attention

* refactor attention processor

* make style

* cleanup a bit

* refactor double transformer block attention

* update mochi attn proc

* use diffusers attention implementation in all modules; checkpoint for all values matching original

* remove helper functions in vae

* refactor upsample

* refactor causal conv

* refactor resnet

* refactor

* refactor

* refactor

* grad checkpointing

* autoencoder test

* fix scaling factor

* refactor clip

* refactor llama text encoding

* add coauthor
Co-Authored-By: "Gregory D. Hunkins" <greg@ollano.com>

* refactor rope; diff: 0.14990234375; reason and fix: create rope grid on cpu and move to device

Note: The following line diverges from original behaviour. We create the grid on the device, whereas
original implementation creates it on CPU and then moves it to device. This results in numerical
differences in layerwise debugging outputs, but visually it is the same.

* use diffusers timesteps embedding; diff: 0.10205078125

* rename

* convert

* update

* add tests for transformer

* add pipeline tests; text encoder 2 is not optional

* fix attention implementation for torch

* add example

* update docs

* update docs

* apply suggestions from review

* refactor vae

* update

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

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

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

* make fix-copies

* update

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Co-authored-by: "Gregory D. Hunkins" <greg@ollano.com>
Co-authored-by: hlky <hlky@hlky.ac>