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complete the licensing statement.

* login

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* uploads

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* downloads

* examples and more logins

* fix

* setup

* Apply style fixes

* fix

* Apply style fixes

Fix: Apply vae_shift_factor in ControlNet SD3 training

* post release v0.34.0

* code quality

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change to 2025 licensing for remaining

fix wrong indent for training controlnet

* Use HF Papers

* Apply style fixes

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* Fix typos in docs and comments

* Apply style fixes

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* Add LANCZOS as default interplotation mode.

* LANCZOS as default interplotation

* LANCZOS as default interplotation mode

* Added LANCZOS as default interplotation mode

Set LANCZOS as the default interpolation for image resizing

* fix issue that training flux controlnet was unstable and validation results were unstable

* del unused code pieces, fix grammar

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* post release

* update

* fix deprecations

* remaining

* update

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* fix: SD3 ControlNet validation so that it runs on a A100.

* use backend-agnostic cache and pass devide.

[train_controlnet.py] Fix the LR schedulers when num_train_epochs is passed in a distributed training env (#8461)

* Create diffusers.yml

* fix num_train_epochs

* Delete diffusers.yml

* Fixed Changes

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[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training
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compact writing
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change licensing to 2025 from 2024.

* post release 0.32.0

* stylew

* support sd3.5 in controlnet

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* add data_dir parameter to load_dataset

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Update train_controlnet_flux.py

Fix the problem of inconsistency between size of image and size of validation_image which causes np.stack to report error.
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* flux pipline: readability enhancement.

* post-release

* style

* use make_image_grid in diffusers.utils

* use checkpoint on the Hub

* Update train_controlnet.py

reduce float value error for bfloat16

* Update train_controlnet_sdxl.py

* style

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* fix vae dtype when accelerate config using --mixed_precision="fp16"

* Add param for upcast vae

* 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
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* Update examples/controlnet/README_flux.md
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* 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
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* 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

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Co-authored-by: Your Name <you@example.com>

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* [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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* add controlnet sd3 example

* add controlnet sd3 example

* update controlnet sd3 example

* add controlnet sd3 example test

* fix quality and style

* update test

* update test

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* 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

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* Trim all the trailing white space in the whole repo

* Remove unnecessary empty places

* make style && make quality

* Trim trailing white space

* trim

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post release

* 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

* 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.

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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

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