GitLab

* create a script to train vae

* update main.py

* update train_autoencoderkl.py

* update train_autoencoderkl.py

* add a check of --pretrained_model_name_or_path and --model_config_name_or_path

* remove the comment, remove diffusers in requiremnets.txt, add validation_image ote

* update autoencoderkl.py

* quality

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

change licensing to 2025 from 2024.

* bugfix for npu not support float64

* is_mps is_npu

---------
Co-authored-by: 白超 <baichao19@huawei.com>
Co-authored-by: hlky <hlky@hlky.ac>

* implementing flux on TPUs with ptxla

* add xla flux attention class

* run make style/quality

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

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

* run style and quality

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

* Use pipelines without vae

* getattr

* vqvae

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

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.4 to 3.1.5.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.4...3.1.5

)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* make base code changes referred from train_instructpix2pix script in examples

* change code to use PEFT as discussed in issue 10062

* update README training command

* update README training command

* refactor variable name and freezing unet

* Update examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update README installation instructions.

* cleanup code using make style and quality

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

* update ptxla example

---------
Co-authored-by: Juan Acevedo <jfacevedo@google.com>
Co-authored-by: Pei Zhang <zpcore@gmail.com>
Co-authored-by: Pei Zhang <piz@google.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pei Zhang <pei@Peis-MacBook-Pro.local>
Co-authored-by: hlky <hlky@hlky.ac>

* Move files to research-projects.

* docs: add IP Adapter training instructions

* Delete venv

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

* Cherry-picked commits and re-moved files
to research_projects.

* make style.

* Update toctree and delete ip_adapter.

* Nit Fix

* Fix nit.

* Fix nit.

* Create training script for single GPU and set
model format to .safetensors

* Add sample inference script and restore _toctree

* Restore toctree.yaml

* fix spacing.

* Update toctree.yaml

---------
Co-authored-by: AMohamedAakhil <a.aakhilmohamed@gmail.com>
Co-authored-by: BootesVoid <78485654+AMohamedAakhil@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* refactored

* move vae flax module.

* controlnet module.

* prepare for PR.

* revert a commit

* gracefully deprecate controlnet deps.

* fix

* fix doc path

* fix-copies

* fix path

* style

* style

* conflicts

* fix

* fix-copies

* sparsectrl.

* updates

* fix

* updates

* updates

* updates

* fix

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

* use the lr when using 8bit adam.

* remove lr as we pack it in params_to_optimize.

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

[training] fixes to the quantization training script and add AdEMAMix optimizer as an option (#9806)

* fixes

* more fixes.

* add the controlnet pipeline for pixart alpha

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: junsongc <cjs1020440147@icloud.com>

Update README.md

* add flux training script with quantization

* remove exclamation

Add files via upload

fix IsADirectoryError when running the training code

* [docs] Replace runwayml/stable-diffusion-v1-5 with Lykon/dreamshaper-8

Updated documentation as runwayml/stable-diffusion-v1-5 has been removed from Huggingface.

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

* Replace with stable-diffusion-v1-5/stable-diffusion-v1-5

* Update inpaint.md

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

* enable pxla training of stable diffusion 2.x models.

* run linter/style and run pipeline test for stable diffusion and fix issues.

* update xla libraries

* fix read me newline.

* move files to research folder.

* update per comments.

* rename readme.

---------
Co-authored-by: Juan Acevedo <jfacevedo@google.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.3...3.1.4

)

---
updated-dependencies:
- dependency-name: jinja2
  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>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Bumps [torch](https://github.com/pytorch/pytorch) from 2.0.1 to 2.2.0.
- [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/v2.0.1...v2.2.0

)

---
updated-dependencies:
- dependency-name: torch
  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: Sayak Paul <spsayakpaul@gmail.com>

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

* 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>

* introduce  to promote reusability.

* up

* add more tests

* up

* remove comments.

* fix fuse_nan test

* clarify the scope of fuse_lora and unfuse_lora

* remove space

* rewrite fuse_lora a bit.

* feedback

* copy over load_lora_into_text_encoder.

* address dhruv's feedback.

* fix-copies

* fix issubclass.

* num_fused_loras

* fix

* fix

* remove mapping

* up

* fix

* style

* fix-copies

* change to SD3TransformerLoRALoadersMixin

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

* up

* handle wuerstchen

* up

* move lora to lora_pipeline.py

* up

* fix-copies

* fix documentation.

* comment set_adapters().

* fix-copies

* fix set_adapters() at the model level.

* fix?

* fix

* loraloadermixin.

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

Revert "[LoRA] introduce LoraBaseMixin to promote reusability. (#8774)"

This reverts commit 527430d0.

* introduce  to promote reusability.

* up

* add more tests

* up

* remove comments.

* fix fuse_nan test

* clarify the scope of fuse_lora and unfuse_lora

* remove space

* rewrite fuse_lora a bit.

* feedback

* copy over load_lora_into_text_encoder.

* address dhruv's feedback.

* fix-copies

* fix issubclass.

* num_fused_loras

* fix

* fix

* remove mapping

* up

* fix

* style

* fix-copies

* change to SD3TransformerLoRALoadersMixin

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

* up

* handle wuerstchen

* up

* move lora to lora_pipeline.py

* up

* fix-copies

* fix documentation.

* comment set_adapters().

* fix-copies

* fix set_adapters() at the model level.

* fix?

* fix

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

* Fix multi-gpu case

* Prefer previously created `unwrap_model()` function

For `torch.compile()` generalizability

* `chore: update unwrap_model() function to use accelerator.unwrap_model()`

* Add vae_roundtrip.py example

* Add cuda support to vae_roundtrip

* Move vae_roundtrip.py into research_projects/vae

* Fix channel scaling in vae roundrip and also support taesd.

* Apply ruff --fix for CI gatekeep check

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Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>

* add experimental scripts to train SD3 transformer lora on colab

* add readme

* add colab

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

* fix link in the notebook.

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

* Fix typos

* Fix typos & up style

* chore: Update numbers

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

* Trim all the trailing white space in the whole repo

* Remove unnecessary empty places

* make style && make quality

* Trim trailing white space

* trim

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

* Fix typos & improve contributing page

* `make style && make quality`

* fix typos

* Fix typo

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

fix the position of param casting when loading them

Update README.md

* Fix typos

* Trim trailing whitespaces

* Remove a trailing whitespace

* chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0

* Revert "chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0"

This reverts commit fd742b30b4258106008a6af4d0dd4664904f8595.

* pokemon -> naruto

* `DPMSolverMultistep` -> `DPMSolverMultistepScheduler`

* Improve Markdown stylization

* Improve style

* Improve style

* Refactor pipeline variable names for consistency

* up style

* add training code of gligen

* fix code quality tests.

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