GitLab

* purge HF_HUB_ENABLE_HF_TRANSFER; promote Xet

* purge HF_HUB_ENABLE_HF_TRANSFER; promote Xet x2

* restrict docker build test to the ones we actually use in CI.

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

* revisit the installations in CI.

* up

* up

* up

* empty

* up

* up

* up

* fix dockerfile definitions.

* python 3.10 slim.

* up

* up

* up

* up

* up

* revert pr_tests.yml changes

* up

* up

* reduce python version for torch 2.1.0

* Allow prerelease when installing transformers from main

* maybe better

* maybe better

* and now?

* just bored

* should be better

* works now

* disable installing transformers from main in ci for now.

* up

* u[p

* disable onnx, mps, flax

* remove

fix the filename for displaying failures in lora ci.

* update dep table.

* fix

removed synchornized.

install accelerate transformers from .

* add; utility to check if attn_procs,norms,acts are properly documented.

* add support listing to the workflows.

* change to 2024.

* small fixes.

* does adding detailed docstrings help?

* uncomment image processor check

* quality

* fix, thanks to @mishig.

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

* style

* JointAttnProcessor2_0

* fixes

* fixes

* fixes

* fixes

* fixes

* fixes

* Update docs/source/en/api/normalization.md
Co-authored-by: hlky <hlky@hlky.ac>

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

* feat: introduce a style bot.

* updates

* Apply suggestions from code review
Co-authored-by: Guillaume LEGENDRE <glegendre01@gmail.com>

* apply suggestion

* fixes

* updates

---------
Co-authored-by: Guillaume LEGENDRE <glegendre01@gmail.com>

* Fix tokenizers install from main in LoRA tests

* @

* rust

* -e

* uv

* just update tokenizers

Update tokenizers

* merge peft pr workflow into the main pr workflow.

* remove latest

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

replace ubuntu version to 22.04.

* allow faster downloads from the Hub in CI.

* HF_HUB_ENABLE_HF_TRANSFER: 1

* empty

* empty

* remove ENV HF_HUB_ENABLE_HF_TRANSFER=1.

* empty

* chore: id accordingly to avoid duplicates.

* update properly.

* updates

* updates

* empty

* updates

* changing order helps?

update artifact uploader version

* [CI] Update runner configuration for setup and nightly tests
Signed-off-by: Adrien <adrien@huggingface.co>

* fix group
Signed-off-by: Adrien <adrien@huggingface.co>

* update for t4
Signed-off-by: Adrien <adrien@huggingface.co>

---------
Signed-off-by: Adrien <adrien@huggingface.co>

* Init commit

* Removed einops

* Added default movq config for training

* Update explanation of prompts

* Fixed inheritance of discriminator and init_tracker

* Fixed incompatible api between muse and here

* Fixed output

* Setup init training

* Basic structure done

* Removed attention for quick tests

* Style fixes

* Fixed vae/vqgan styles

* Removed redefinition of wandb

* Fixed log_validation and tqdm

* Nothing commit

* Added commit loss to lookup_from_codebook

* Update src/diffusers/models/vq_model.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Adding perliminary README

* Fixed one typo

* Local changes

* Fixed main issues

* Merging

* Update src/diffusers/models/vq_model.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Testing+Fixed bugs in training script

* Some style fixes

* Added wandb to docs

* Fixed timm test

* get testing suite ready.

* remove return loss

* remove return_loss

* Remove diffs

* Remove diffs

* fix ruff format

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

remove installation of redundant modules from flax PR tests

* remove libsndfile1-dev and libgl1 from workflows and ensure that re present in the respective dockerfiles.

* change to self-hosted runner; let's see 🤞

* add libsndfile1-dev libgl1 for now

* use self-hosted runners for building and push too.

* increase number of workers for the tests.

* move to beefier runner.

* improve the fast push tests too.

* use a beefy machine for pytorch pipeline tests

* up the number of workers further.

* add: utility to format our docs too 📜

* debugging saga

* fix: message

* checking

* should be fixed.

* revert pipeline_fixture

* remove empty line

* make style

* fix: setup.py

* style.

* use uv for installing stuff in the workflows.

* fix: from source installation command when using uv.

* fix uv venv issue

* edit editable installation.

* fix quality installation

* checking

* make editable.

* more check

* check

* add: export step

* venv handling.

* checking.

* fix: dependency workflows.

* peft tests.

* proper way to initialize env.

* Empty-Commit

* Empty-Commit

make tests conditional and other things.

* deprecate certain lora methods from the old backend.

* uncomment necessary things.

* safe remove old lora backend 👋

* adapt example scripts to use PEFT

* Update examples/text_to_image/train_text_to_image_lora.py

* fix

* add for SDXL

* oops

* make sure to install peft

* fix

* fix

* fix dreambooth and lora

* more fixes

* add peft to requirements.txt

* fix

* final fix

* add peft version in requirements

* remove comment

* change variable names

* add few lines in readme

* add to reqs

* style

* fix issues

* fix lora dreambooth xl tests

* init_lora_weights to gaussian and add out proj where missing

* ammend requirements.

* ammend requirements.txt

* add correct peft versions

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

* control and custom diffusion

* dreambooth

* instructpix2pix and dreambooth ckpting

* t2i adapters.

* text to image ft

* textual inversion

* unconditional

* workflows

* import fix

* fix import

install acclerate from pypi

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* Revert "Temp Revert "[Core] better support offloading when side loading is enabled… (#4927)"

This reverts commit 2ab17049.

* tests: install accelerate from main

[Pipeline utils] feat: implement push_to_hub for standalone models, schedulers as well as pipelines (#4128)

* feat: implement push_to_hub for standalone models.

* address PR feedback.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* remove max_shard_size.

* add: support for scheduler push_to_hub

* enable push_to_hub support for flax schedulers.

* enable push_to_hub for pipelines.

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* reflect pr feedback.

* address another round of deedback.

* better handling of kwargs.

* add: tests

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* setting hub staging to False for now.

* incorporate staging test as a separate job.
Co-authored-by: ydshieh <2521628+ydshieh@users.noreply.github.com>

* fix: tokenizer loading.

* fix: json dumping.

* move is_staging_test to a better location.

* better treatment to tokens.

* define repo_id to better handle concurrency

* style

* explicitly set token

* Empty-Commit

* move SUER, TOKEN to test

* collate org_repo_id

* delete repo

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: ydshieh <2521628+ydshieh@users.noreply.github.com>

* Add new text encoder

* add transformers depth

* More

* Correct conversion script

* Fix more

* Fix more

* Correct more

* correct text encoder

* Finish all

* proof that in works in run local xl

* clean up

* Get refiner to work

* Add red castle

* Fix batch size

* Improve pipelines more

* Finish text2image tests

* Add img2img test

* Fix more

* fix import

* Fix embeddings for classic models (#3888)

Fix embeddings for classic SD models.

* Allow multiple prompts to be passed to the refiner (#3895)

* finish more

* Apply suggestions from code review

* add watermarker

* Model offload (#3889)

* Model offload.

* Model offload for refiner / img2img

* Hardcode encoder offload on img2img vae encode

Saves some GPU RAM in img2img / refiner tasks so it remains below 8 GB.

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* correct

* fix

* clean print

* Update install warning for `invisible-watermark`

* add: missing docstrings.

* fix and simplify the usage example in img2img.

* fix setup for watermarking.

* Revert "fix setup for watermarking."

This reverts commit 491bc9f5a640bbf46a97a8e52d6eff7e70eb8e4b.

* fix: watermarking setup.

* fix: op.

* run make fix-copies.

* make sure tests pass

* improve convert

* make tests pass

* make tests pass

* better error message

* fiinsh

* finish

* Fix final test

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add test for checking soft dependencies.

* address patrick's comments.

* dependency tests should not run twice.

* debugging.

* up.

* Remove ONNX tests from PR.

They are already a part of push_tests.yml.

* Remove mps tests from PRs.

They are already performed on push.

* Fix workflow name for fast push tests.

* Extract mps tests to a workflow.

For better control/filtering.

* Remove --extra-index-url from mps tests

* Increase tolerance of mps test

This test passes in my Mac (Ventura 13.3) but fails in the CI hardware
(Ventura 13.2). I ran the local tests following the same steps that
exist in the CI workflow.

* Temporarily run mps tests on pr

So we can test.

* Revert "Temporarily run mps tests on pr"

Tests passed, go back to running on push.

Update pr_tests.yml