GitLab

* Fix textual inversion SDXL and add support for 2nd text encoder
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Fix style/quality of text inv for sdxl
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

---------
Signed-off-by: Daniel Socek <daniel.socek@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* initial commit - dreambooth for flux

* update transformer to be FluxTransformer2DModel

* update training loop and validation inference

* fix sd3->flux docs

* add guidance handling, not sure if it makes sense(?)

* inital dreambooth lora commit

* fix text_ids in compute_text_embeddings

* fix imports of static methods

* fix pipeline loading in readme, remove auto1111 docs for now

* fix pipeline loading in readme, remove auto1111 docs for now, remove some irrelevant text_encoder_3 refs

* Update examples/dreambooth/train_dreambooth_flux.py
Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>

* fix te2 loading and remove te2 refs from text encoder training

* fix tokenizer_2 initialization

* remove text_encoder training refs from lora script (for now)

* try with vae in bfloat16, fix model hook save

* fix tokenization

* fix static imports

* fix CLIP import

* remove text_encoder training refs (for now) from lora script

* fix minor bug in encode_prompt, add guidance def in lora script, ...

* fix unpack_latents args

* fix license in readme

* add "none" to weighting_scheme options for uniform sampling

* style

* adapt model saving - remove text encoder refs

* adapt model loading - remove text encoder refs

* initial commit for readme

* Update examples/dreambooth/train_dreambooth_lora_flux.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/dreambooth/train_dreambooth_lora_flux.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix vae casting

* remove precondition_outputs

* readme

* readme

* style

* readme

* readme

* update weighting scheme default & docs

* style

* add text_encoder training to lora script, change vae_scale_factor value in both

* style

* text encoder training fixes

* style

* update readme

* minor fixes

* fix te params

* fix te params

---------
Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* Add Differential Pipeline.

* Fix Styling Issue using ruff -fix

* Add details to Contributing.md

* Revert "Fix Styling Issue using ruff -fix"

This reverts commit d347de162d5293f58f5ea2356ee6ddfcb97cf824.

* Revert "Revert "Fix Styling Issue using ruff -fix""

This reverts commit ce7c3ff216e70b5420f6564865dc0f2bab5d8cd1.

* Revert README changes

* Restore README.md

* Update README.md

* Resolved Comments:

* Fix Readme based on review

* Fix formatting after make style

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

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

* fix for lr scheduler in distributed training

* Fixed the recalculation of the total training step section

* Fixed lint error

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

* toctree

* fix

* add CogVideoX

---------
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* update

* allow sparsectrl to be loaded with single file

* update

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

* clipping for fp16

* fix typo

* added fp16 inference to docs

* fix docs typo

* include link for fp16 investigation

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

* initial work draft for freenoise; needs massive cleanup

* fix freeinit bug

* add animatediff controlnet implementation

* revert attention changes

* add freenoise

* remove old helper functions

* add decode batch size param to all pipelines

* make style

* fix copied from comments

* make fix-copies

* make style

* copy animatediff controlnet implementation from #8972

* add experimental support for num_frames not perfectly fitting context length, ocntext stride

* make unet motion model lora work again based on #8995

* copy load video utils from #8972

* copied from AnimateDiff::prepare_latents

* address the case where last batch of frames does not match length of indices in prepare latents

* decode_batch_size->vae_batch_size; batch vae encode support in animatediff vid2vid

* revert sparsectrl and sdxl freenoise changes

* revert pia

* add freenoise tests

* make fix-copies

* improve docstrings

* add freenoise tests to animatediff controlnet

* update tests

* Update src/diffusers/models/unets/unet_motion_model.py

* add freenoise to animatediff pag

* address review comments

* make style

* update tests

* make fix-copies

* fix error message

* remove copied from comment

* fix imports in tests

* update

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

* txt2img pag added

* autopipe added, fixed case

* style

* apply suggestions

* added fast tests, added todo tests

* revert dummy objects for kolors

* fix pag dummies

* fix test imports

* update pag tests

* add kolor pag to docs

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

* update

* update

* update

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

* Fix loading sharded checkpoint when we have variant

* add test

* remote print

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

add pag sd3


---------
Co-authored-by: HyoungwonCho <jhw9811@korea.ac.kr>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: crepejung00 <jaewoojung00@naver.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* update

* update

* update

* add hunyuan model test

* apply suggestions

* reduce dims further

* reduce dims further

* run make style

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

remove ada_norm_continuous from norm3 list
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add fusion support to pixart

* add to auraflow.

* add tests

* apply review feedback.

* add back args and kwargs

* style

Update `CLIPFeatureExtractor` to `CLIPImageProcessor` and `DPTFeatureExtractor` to `DPTImageProcessor` (#9002)

* fix: update `CLIPFeatureExtractor` to `CLIPImageProcessor` in codebase

* `make style && make quality`

* Update `DPTFeatureExtractor` to `DPTImageProcessor` in codebase

* `make style`

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

* fix typo

* add sentencepiece as  soft dependency for kolors

* up

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

* add stable cascade unet doc.

* fix path

* copy hunyuandit pipeline

* pag variant of hunyuan dit

* add tests

* update docs

* make style

* make fix-copies

* Update src/diffusers/pipelines/pag/pag_utils.py

* remove incorrect copied from

* remove pag hunyuan attn procs to resolve conflicts

* add pag attn procs again

* new implementation for pag_utils

* revert pag changes

* add pag refactor back; update pixart sigma

* update pixart pag tests

* apply suggestions from review

Co-Authored-By: yixu310@gmail.com

* make style

* update docs, fix tests

* fix tests

* fix test_components_function since list not accepted as valid __init__ param

* apply patch to fix broken tests
Co-Authored-By: Sayak Paul <spsayakpaul@gmail.com>

* make style

* fix hunyuan tests

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

* add LatteTransformer3DModel model test

* change patch_size to 1

* reduce req len

* reduce channel dims

* increase num_layers

* reduce dims further

* run make style

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* feat: lora support for Flux.

add tests

fix imports

major fixes.

* fix

fixes

final fixes?

* fix

* remove is_peft_available.

* apply qk norm in attention processors

* revert attention processor

* qk-norm in only attention proc 2.0 and fused variant

`None` is valid for `get_attention_scores`, should be typed as such

* Update TensorRT txt2img and inpaint community pipelines
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* update tensorrt install instructions
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

---------
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* minor documentation fixes for flux.

* clipskip

* add gist

* animatediff specific transformer model

* make style

* make fix-copies

* move blocks to unet motion model

* make style

* remove dummy object

* fix incorrectly passed param causing test failures

* rename model and output class

* fix sparsectrl imports

* remove todo comments

* remove temporal double self attn param from controlnet sparsectrl

* add deprecated versions of blocks

* apply suggestions from review

* update

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

* Fix typos

* chore: Fix typos

* chore: Update README.md for promptdiffusion example

* Trim trailing white spaces

* Fix a typo

* update number

* chore: update number

* Trim trailing white space

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

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

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

update

* fix tests

* fix

* float64 skip

* remove sample_size.

* remove

* remove more

* default_sample_size.

* credit black forest for flux model.

* skip

* fix: tests

* remove OriginalModelMixin

* add transformer model test

* add: transformer model tests

* feat: add pixart sigma pag.

* inits.

* fixes

* fix

* remove print.

* copy paste methods to the pixart pag mixin

* fix-copies

* add documentation.

* add tests.

* remove correction file.

* remove pag_applied_layers

* empty