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.

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

* up

---------
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>

* 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 file paths to research_projects folder.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* initial script

* formatting

* prior trainer wip

* add efficient_net_encoder

* add CLIPTextModel

* add prior ema support

* optimizer

* fix typo

* add dataloader

* prompt_embeds and image_embeds

* intial training loop

* fix output_dir

* fix add_noise

* accelerator check

* make effnet_transforms dynamic

* fix training loop

* add validation logging

* use loaded text_encoder

* use PreTrainedTokenizerFast

* load weigth from pickle

* save_model_card

* remove unused file

* fix typos

* save prior pipeilne in its own folder

* fix imports

* fix pipe_t2i

* scale image_embeds

* remove snr_gamma

* format

* initial lora prior training

* log_validation and save

* initial gradient working

* remove save/load hooks

* set set_attn_processor on prior_prior

* add lora script

* typos

* use LoraLoaderMixin for prior pipeline

* fix usage

* make fix-copies

* yse repo_id

* write_lora_layers is a staitcmethod

* use defualts

* fix defaults

* undo

* Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/loaders.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/loaders.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_prior.py

* Update src/diffusers/loaders.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/loaders.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add graident checkpoint support to prior

* gradient_checkpointing

* formatting

* Update examples/wuerstchen/text_to_image/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/train_text_to_image_lora_prior.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update src/diffusers/loaders.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update examples/wuerstchen/text_to_image/train_text_to_image_prior.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* use default unet and text_encoder

* fix test

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>