GitLab

* update

* make style

update

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.10.10 to 3.12.14.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.10.10...v3.12.14

)

---
updated-dependencies:
- dependency-name: aiohttp
  dependency-version: 3.12.14
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Fix: Apply vae_shift_factor in ControlNet SD3 training

Flux: pass joint_attention_kwargs when gradient_checkpointing

* add blog post

* feedback

* feedback

* update

* update

* update

* pin accelerate version

* add comment explanations

* update docstring

* make style

* non_blocking does not matter for dtype cast

* _empty_cache -> clear_cache

* update

* Update src/diffusers/models/model_loading_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/diffusers/models/model_loading_utils.py

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* unify the quant compile + offloading tests.

* fix

* update

* Avoid creating tensor in CosmosAttnProcessor2_0 (#11761)

* up

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

fixes

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

* account for MPS when available in get_device().

* fix

fix: disabling hooks when loading loras.

Bumps [torch](https://github.com/pytorch/pytorch) from 2.4.1 to 2.7.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v2.4.1...v2.7.0

)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.7.0
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* add repr for pipelinequantconfig.

* update

adding modular diffusers as experimental feature 

---------
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

fix and official callback
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix memory address problem

* add more tests

* updates

* updates

* update

* _group_id = group_id

* update

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* update

* update

* update

* fix

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

* feat: add multiple input image support in Flux Kontext

* move model to community

* fix linter

* add compile + offload tests for GGUF.

* quality

* add init.

* prop.

* change to flux.

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

* mark wanvace lora tests as flaky

* ability to apply is_flaky at a class-level

* update

* increase max_attempt.

* increase attemtp.

* remove k diffusion tests

* remove script

update doc builder dockerfile to include quant libs.

* remove k-diffusion as we don't use it from the core.

* Revert "remove k-diffusion as we don't use it from the core."

This reverts commit 8bc86925a0b8535e85430be570f37398d211e249.

* pin k-diffusion

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

Fix typo in Inference example code

annotate compilation test classes with bnb

* update

* modify flux single blocks to make compatible with cache techniques (without too much model-specific intrusion code)

* remove debug logs

* update

* cache context for different batches of data

* fix hs residual bug for single return outputs; support ltx

* fix controlnet flux

* support flux, ltx i2v, ltx condition

* update

* update

* Update docs/source/en/api/cache.md

* Update src/diffusers/hooks/hooks.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* address review comments pt. 1

* address review comments pt. 2

* cache context refacotr; address review pt. 3

* address review comments

* metadata registration with decorators instead of centralized

* support cogvideox

* support mochi

* fix

* remove unused function

* remove central registry based on review

* update

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

* update

* update

* feat: enable i2i fine-tuning in Kontext script.

* readme

* more checks.

* Apply suggestions from code review
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* fixes

* fix

* add proj_mlp to the mix

* Update README_flux.md

add note on installing from commit `05e7a854

`

* fix

* fix

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Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* draft

* hub image

* update

* fix

* remove tests for deprecated pipelines.

* remove folders

* test_pipelines_common

* fix references in flux.

* Update src/diffusers/pipelines/flux/pipeline_flux_kontext.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

* deprecate blip controlnet pipeline.

* last_supported_version

* fix

* actually, better fix

* empty commit; trigger tests again

* mark wanvace test as flaky

* FIX set_lora_device when target layers differ

Resolves #11833

Fixes a bug that occurs after calling set_lora_device when multiple LoRA
adapters are loaded that target different layers.

Note: Technically, the accompanying test does not require a GPU because
the bug is triggered even if the parameters are already on the
corresponding device, i.e. loading on CPU and then changing the device
to CPU is sufficient to cause the bug. However, this may be optimized
away in the future, so I decided to test with GPU.

* Update docstring to warn about device mismatch

* Extend docstring with an example

* Fix docstring

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

* start overhauling the benchmarking suite.

* fixes

* fixes

* checking.

* checking

* fixes.

* error handling and logging.

* add flops and params.

* add more models.

* utility to fire execution of all benchmarking scripts.

* utility to push to the hub.

* push utility improvement

* seems to be working.

* okay

* add torchprofile dep.

* remove total gpu memory

* fixes

* fix

* need a big gpu

* better

* what's happening.

* okay

* separate requirements and make it nightly.

* add db population script.

* update secret name

* update secret.

* population db update

* disable db population for now.

* change to every monday

* Update .github/workflows/benchmark.yml
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* quality improvements.

* reparate hub upload step.

* repository

* remove csv

* check

* update

* update

* threading.

* update

* update

* updaye

* update

* update

* update

* remove peft dep

* upgrade runner.

* fix

* fixes

* fix merging csvs.

* push dataset to the Space repo for analysis.

* warm up.

* add a readme

* Apply suggestions from code review
Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>

* address feedback

* Apply suggestions from code review

* disable db workflow.

* update to bi weekly.

* enable population

* enable

* updaye

* update

* metadata

* fix

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Luc Georges <McPatate@users.noreply.github.com>

* update

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

* Update schedulers.md

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

* initial commit

* initial commit

* initial commit

* fix import

* fix prefix

* remove print

* Apply style fixes

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

* update: FluxKontextInpaintPipeline support

* fix: Refactor code, remove mask_image_latents and ruff check

* feat: Add test case and fix with pytest

* Apply style fixes

* copies

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* wan vace.

* update

* update

* import problem