GitLab

* add vae

* Initial commit for Flux 2 Transformer implementation

* add pipeline part

* small edits to the pipeline and conversion

* update conversion script

* fix

* up up

* finish pipeline

* Remove Flux IP Adapter logic for now

* Remove deprecated 3D id logic

* Remove ControlNet logic for now

* Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block

* update pipeline

* Don't use biases for input projs and output AdaNorm

* up

* Remove bias for double stream block text QKV projections

* Add script to convert Flux 2 transformer to diffusers

* make style and make quality

* fix a few things.

* allow sft files to go.

* fix image processor

* fix batch

* style a bit

* Fix some bugs in Flux 2 transformer implementation

* Fix dummy input preparation and fix some test bugs

* fix dtype casting in timestep guidance module.

* resolve conflicts.,

* remove ip adapter stuff.

* Fix Flux 2 transformer consistency test

* Fix bug in Flux2TransformerBlock (double stream block)

* Get remaining Flux 2 transformer tests passing

* make style; make quality; make fix-copies

* remove stuff.

* fix type annotaton.

* remove unneeded stuff from tests

* tests

* up

* up

* add sf support

* Remove unused IP Adapter and ControlNet logic from transformer (#9)

* copied from

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* up

* up

* up

* up

* up

* Refactor Flux2Attention into separate classes for double stream and single stream attention

* Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion

* Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False

* Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion

* Address review comments

* Update src/diffusers/pipelines/flux2/pipeline_flux2.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* up

* Remove maybe_allow_in_graph decorators for Flux 2 transformer blocks (#12)

* up

* support ostris loras. (#13)

* up

* update schdule

* up

* up (#17)

* add training scripts (#16)

* add training scripts
Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com>

* model cpu offload in validation.

* add flux.2 readme

* add img2img and tests

* cpu offload in log validation

* Apply suggestions from code review

* fix

* up

* fixes

* remove i2i training tests for now.

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Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: linoytsaban <linoy@huggingface.co>

* up

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Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: Daniel Gu <dgu8957@gmail.com>
Co-authored-by: yiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal>
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>
Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>
Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: linoytsaban <linoy@huggingface.co>

- Fixed variable naming typos (maskkk -> mask_fill, mask_imagee -> mask_image_fill, masked_imagee -> masked_image_fill, masked_image_latentsss -> masked_latents_fill)

These changes improve code readability without affecting functionality.

Community Pipeline: FluxFillControlNetInpaintPipeline for FLUX Fill-Based Inpainting with ControlNet (#12649)

* new flux fill controlnet inpaint pipline

* Delete src/diffusers/pipelines/flux/pipline_flux_fill_controlnet_Inpaint.py

deleting from main flux pipeline

* Fluc_fill_controlnet community pipline

* Update README.md

* Apply style fixes

remove commit

Removed specific commit reference for installation instructions.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* Update pipeline_skyreels_v2_i2v.py

* Update README.md

* Update torch_utils.py

* Update torch_utils.py

* Update guider_utils.py

* Update pipeline_ltx.py

* Update pipeline_bria.py

* Apply suggestion from @qgallouedec

* Update autoencoder_kl_qwenimage.py

* Update pipeline_prx.py

* Update pipeline_wan_vace.py

* Update pipeline_skyreels_v2.py

* Update pipeline_skyreels_v2_diffusion_forcing.py

* Update pipeline_bria_fibo.py

* Update pipeline_skyreels_v2_diffusion_forcing_i2v.py

* Update pipeline_ltx_condition.py

* Update pipeline_ltx_image2video.py

* Update regional_prompting_stable_diffusion.py

* make style

* style

* style

Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples (#12544)

* Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples

* Apply style fixes

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

Add optional precision-preserving preprocessing for examples/unconditional_image_generation/train_unconditional.py (#12596)

* Add optional precision-preserving preprocessing

* Document decoder caveat for precision flag

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

* cleanup of runway model

* quality fixes

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

* fix bug when offload and cache_latents both enabled

Fix peft error

* make qwen and kontext uv compatible

* add torchvision

* add torchvision

* add datasets, bitsandbytes, prodigyopt

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

* change syntax

* make style

* Upgrade huggingface-hub to version 0.35.0

Updated huggingface-hub version from 0.26.1 to 0.35.0.

* Add uvicorn and accelerate to requirements

* Fix install instructions for server

Add RequestScopedPipeline for safe concurrent inference, tokenizer lock and non-mutating retrieve_timesteps (#12328)

* Basic implementation of request scheduling

* Basic editing in SD and Flux Pipelines

* Small Fix

* Fix

* Update for more pipelines

* Add examples/server-async

* Add examples/server-async

* Updated RequestScopedPipeline to handle a single tokenizer lock to avoid race conditions

* Fix

* Fix _TokenizerLockWrapper

* Fix _TokenizerLockWrapper

* Delete _TokenizerLockWrapper

* Fix tokenizer

* Update examples/server-async

* Fix server-async

* Optimizations in examples/server-async

* We keep the implementation simple in examples/server-async

* Update examples/server-async/README.md

* Update examples/server-async/README.md for changes to tokenizer locks and backward-compatible retrieve_timesteps

* The changes to the diffusers core have been undone and all logic is being moved to exmaples/server-async

* Update examples/server-async/utils/*

* Fix BaseAsyncScheduler

* Rollback in the core of the diffusers

* Update examples/server-async/README.md

* Complete rollback of diffusers core files

* Simple implementation of an asynchronous server compatible with SD3-3.5 and Flux Pipelines

* Update examples/server-async/README.md

* Fixed import errors in 'examples/server-async/serverasync.py'

* Flux Pipeline Discard

* Update examples/server-async/README.md

* 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>

* deprecate slicing from flux pipeline.

* propagate.

* tiling

* up

* up

Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Signed-off-by: co63oc <co63oc@users.noreply.github.com>

* propagate fixes from https://github.com/huggingface/diffusers/pull/11873/ to flux script

* propagate fixes from https://github.com/huggingface/diffusers/pull/11873/ to flux script

* propagate fixes from https://github.com/huggingface/diffusers/pull/11873/

 to flux script

* Apply style fixes

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

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

* update

* update

* update

* update

* update

* merge main

* Revert "merge main"

This reverts commit 65efbcead58644b31596ed2d714f7cee0e0238d3.

fix table rendering readme issue in readme.

* NPU attention refactor for FLUX transformer

* Apply style fixes

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Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* post release v0.35.0

* quality

* Update README.md

Specify the full dir

* Update examples/dreambooth/README.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>

typo error in qwen image
Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Aryan <aryan@huggingface.co>

complete the licensing statement.

* up

* up

* feat: support lora in qwen image and training script

* up

* up

* up

* up

* up

* up

* add lora tests

* fix

* add tests

* fix

* reviewer feedback

* up[

* Apply suggestions from code review
Co-authored-by: Aryan <aryan@huggingface.co>

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

* add uv dependencies on top of scripts.

* add uv deps.

* login

* more logins

* uploads

* missed login

* another missed login

* downloads

* examples and more logins

* fix

* setup

* Apply style fixes

* fix

* Apply style fixes

up

[Examples] uniform naming notations

since the in parameter `size` represents `args.resolution`, I thus replace the `args.resolution` inside DreamBoothData with `size`. And revise some notations such as `center_crop`.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

set drop_last to True
Signed-off-by: mymusise <mymusise1@gmail.com>

* add an offload utility that can be used as a context manager.

* update

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

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

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>

* feat: add multiple input image support in Flux Kontext

* move model to community

* fix linter