GitLab

* fix: retain memory utility.

* fix

* quality

* free_memory.

* add train flux-controlnet scripts in example.

* fix error

* fix subfolder error

* fix preprocess error

* Update examples/controlnet/README_flux.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README_flux.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix readme

* fix note error

* add some Tutorial for deepspeed

* fix some Format Error

* add dataset_path example

* remove print, add guidance_scale CLI, readable apply

* Update examples/controlnet/README_flux.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* update,push_to_hub,save_weight_dtype,static method,clear_objs_and_retain_memory,report_to=wandb

* add push to hub in readme

* apply weighting schemes

* add note

* Update examples/controlnet/README_flux.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* make code style and quality

* fix some unnoticed error

* make code style and quality

* add example controlnet in readme

* add test controlnet

* rm Remove duplicate notes

* Fix formatting errors

* add new control image

* add model cpu offload

* update help for adafactor

* make quality & style

* make quality and style

* rename flux_controlnet_model_name_or_path

* fix back src/diffusers/pipelines/flux/pipeline_flux_controlnet.py

* fix dtype error by pre calculate text emb

* rm image save

* quality fix

* fix test

* fix tiny flux train error

* change report to to tensorboard

* fix save name error when test

* Fix shrinking errors

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

* post release

* fix quality

[train_controlnet_sdxl.py] Fix the LR schedulers when num_train_epochs is passed in a distributed training env (#8476)

* Create diffusers.yml

* num_train_epochs

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

post release

* post release v0.28.0

* style

Add Ascend NPU support for SDXL fine-tuning and fix the model saving bug when using DeepSpeed. (#7816)

* Add Ascend NPU support for SDXL fine-tuning and fix the model saving bug when using DeepSpeed.

* fix check code quality

* Decouple the NPU flash attention and make it an independent module.

* add doc and unit tests for npu flash attention.

---------
Co-authored-by: mhh001 <mahonghao1@huawei.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* 7529 do not disable autocast for cuda devices

* Remove typecasting error check for non-mps platforms, as a correct autocast implementation makes it a non-issue

* add autocast fix to other training examples

* disable native_amp for dreambooth (sdxl)

* disable native_amp for pix2pix (sdxl)

* remove tests from remaining files

* disable native_amp on huggingface accelerator for every training example that uses it

* convert more usages of autocast to nullcontext, make style fixes

* make style fixes

* style.

* Empty-Commit

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

* apple mps: training support for SDXL LoRA

* sdxl: support training lora, dreambooth, t2i, pix2pix, and controlnet on apple mps

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

* post-release

* quality

switch to logger.warning

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add dora tags for drambooth lora scripts

* style

* log_validation unification for controlnet.

* additional fixes.

* remove print.

* better reuse and loading

* make final inference run conditional.

* Update examples/controlnet/README_sdxl.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* resize the control image in the snippet.

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* post release

* style

* Empty-Commit

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

controlnet-sdxl

change to 2024

* make torch.compile compatible

* fix quality

* post release

* style

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

* Post Release: v0.24.0

* post pone deprecation

* post pone deprecation

* Add model_index.json

* add variant

* add variant

* Apply suggestions from code review

* reformat

* fix: textual_inversion.py

* fix: variant in model_info

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

* post release

* fix: variant test

* up

* fix: test

post release

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* add: utility for image grid.

* add: return type.

* change necessary places.

* add to utility page.

* correct

* correct blocks

* finish

* finish

* finish

* Apply suggestions from code review

* fix

* up

* up

* up

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

* Apply suggestions from code review

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

* honor the original license.

* train_instruct_pix2pix_xl -> train_instruct_pix2pix_sdxl

* 0.20.0dev0

* make style

* up

* Apply suggestions from code review

* Apply suggestions from code review

* up

* fix: #4206

* add: sdxl controlnet training smoketest.

* remove unnecessary token inits.

* add: licensing to model card.

* include SDXL licensing in the model card and make public visibility default

* debugging

* debugging

* disable local file download.

* fix: training test.

* fix: ckpt prefix.

* hash computation. thanks to @lhoestq

* disable dtype casting.

* remove comments.

Remove safety from controlnet

* add: controlnet sdxl.

* modifications to controlnet.

* run styling.

* add: __init__.pys

* incorporate https://github.com/huggingface/diffusers/pull/4019

 changes.

* run make fix-copies.

* resize the conditioning images.

* remove autocast.

* run styling.

* disable autocast.

* debugging

* device placement.

* back to autocast.

* remove comment.

* save some memory by reusing the vae and unet in the pipeline.

* apply styling.

* Allow low precision sd xl

* finish

* finish

* changes to accommodate the improved VAE.

* modifications to how we handle vae encoding in the training.

* make style

* make existing controlnet fast tests pass.

* change vae checkpoint cli arg.

* fix: vae pretrained paths.

* fix: steps in get_scheduler().

* debugging.

* debugging./

* fix: weight conversion.

* add: docs.

* add: limited tests./

* add: datasets to the requirements.

* update docstrings and incorporate the usage of watermarking.

* incorporate fix from #4083

* fix watermarking dependency handling.

* run make-fix-copies.

* Empty-Commit

* Update requirements_sdxl.txt

* remove vae upcasting part.

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

* run make style

* run make fix-copies.

* disable suppot for multicontrolnet.

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

* run make fix-copies.

* dtyle/.

* fix-copies.

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

* Multiply lr scheduler steps by `num_processes`.

* Stop multiplying steps by gradient accumulation.

* manual check for checkpoints_total_limit instead of using accelerate

* remove controlnet_conditioning_embedding_out_channels

* Post release

* Post release

Apply deprecations