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add to readme about hf login and wandb installation to address https://github.com/huggingface/diffusers/issues/10142#issuecomment-2571655570

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

Regarding the RunwayML path for V1.5 did change to stable-diffusion-v1-5/[stable-diffusion-v1-5/ stable-diffusion-inpainting] (#10476)

* Update pipeline_controlnet.py

* Update pipeline_controlnet_img2img.py

runwayml Take-down so change all from to this
stable-diffusion-v1-5/stable-diffusion-v1-5

* Update pipeline_controlnet_inpaint.py

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* runwayml take-down make change to sd-legacy

* Update convert_blipdiffusion_to_diffusers.py

style change

* post release 0.32.0

* stylew

* memory improvement as done here: https://github.com/huggingface/diffusers/pull/9829



* fix bug

* fix bug

* style

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

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

* modelcard generation edit

* add missed tag

* fix param name

* fix var

* change str to dict

* add use_dora check

* use correct tags for lora

* make style && make quality

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

* 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>

[Fix] train_dreambooth_lora_flux_advanced ValueError: unexpected save model: <class 'transformers.models.t5.modeling_t5.T5EncoderModel'> (#9777)

fix save state te T5

* flux pipline: readability enhancement.

* post-release

* style

* fix arg naming

* fix arg naming

* fix arg naming

* fix arg naming

* add ostris trainer to README & add cache latents of vae

* add ostris trainer to README & add cache latents of vae

* style

* readme

* add test for latent caching

* add ostris noise scheduler
https://github.com/ostris/ai-toolkit/blob/9ee1ef2a0a2a9a02b92d114a95f21312e5906e54/toolkit/samplers/custom_flowmatch_sampler.py#L95

* style

* fix import

* style

* fix tests

* style

* --change upcasting of transformer?

* update readme according to main

* add pivotal tuning for CLIP

* fix imports, encode_prompt call,add TextualInversionLoaderMixin to FluxPipeline for inference

* TextualInversionLoaderMixin support for FluxPipeline for inference

* move changes to advanced flux script, revert canonical

* add latent caching to canonical script

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* revert changes to canonical script to keep it separate from https://github.com/huggingface/diffusers/pull/9160

* style

* remove redundant line and change code block placement to align with logic

* add initializer_token arg

* add transformer frac for range support from pure textual inversion to the orig pivotal tuning

* support pure textual inversion - wip

* adjustments to support pure textual inversion and transformer optimization in only part of the epochs

* fix logic when using initializer token

* fix pure_textual_inversion_condition

* fix ti/pivotal loading of last validation run

* remove embeddings loading for ti in final training run (to avoid adding huggingface hub dependency)

* support pivotal for t5

* adapt pivotal for T5 encoder

* adapt pivotal for T5 encoder and support in flux pipeline

* t5 pivotal support + support fo pivotal for clip only or both

* fix param chaining

* fix param chaining

* README first draft

* readme

* readme

* readme

* style

* fix import

* style

* add fix from https://github.com/huggingface/diffusers/pull/9419



* add to readme, change function names

* te lr changes

* readme

* change concept tokens logic

* fix indices

* change arg name

* style

* dummy test

* revert dummy test

* reorder pivoting

* add warning in case the token abstraction is not the instance prompt

* experimental - wip - specific block training

* fix documentation and token abstraction processing

* remove transformer block specification feature (for now)

* style

* fix copies

* fix indexing issue when --initializer_concept has different amounts

* add if TextualInversionLoaderMixin to all flux pipelines

* style

* fix import

* fix imports

* address review comments - remove necessary prints & comments, use pin_memory=True, use free_memory utils, unify warning and prints

* style

* logger info fix

* make lora target modules configurable and change the default

* make lora target modules configurable and change the default

* style

* make lora target modules configurable and change the default, add notes to readme

* style

* add tests

* style

* fix repo id

* add updated requirements for advanced flux

* fix indices of t5 pivotal tuning embeddings

* fix path in test

* remove `pin_memory`

* fix filename of embedding

* fix filename of embedding

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

* post release

* fix quality

* 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.

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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

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

update

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

* update

* update

* update

* add clip_skip

* style

* smol fix

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

update

* update training

* update

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

* minor changes

* minor changes

* minor changes

* minor changes

* minor changes

* minor changes

* minor changes

* fix

* fix

* aligning with blora script

* aligning with blora script

* aligning with blora script

* aligning with blora script

* aligning with blora script

* remove prints

* style

* default val

* license

* move save_model_card to outside push_to_hub

* Update train_dreambooth_lora_sdxl_advanced.py

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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

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

post release

* Fix copying mechanism typos

* fix copying mecha

* Revert, since they are in TODO

* Fix copying mechanism

* post release v0.28.0

* style

Fixed few docstrings according to the Google Style Guide.

* add blora

* add blora

* add blora

* add blora

* little changes

* little changes

* remove redundancies

* fixes

* add B LoRA to readme

* style

* inference

* defaults + path to loras+ generation

* minor changes

* style

* minor changes

* minor changes

* blora arg

* added --lora_unet_blocks

* style

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

* add commit hash to B-LoRA repo cloneing

* change inference, remove cloning

* change inference, remove cloning
add section about configureable unet blocks

* change inference, remove cloning
add section about configureable unet blocks

* Apply suggestions from code review

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

you cannot specify `type="bool"` and `action="store_true"` at the same time.
remove excessive and buggy `type=bool`.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* post-release

* quality

* add edm style training

* style

* finish adding edm training feature

* import fix

* fix latents mean

* minor adjustments

* add edm to readme

* style

* fix autocast and scheduler config issues when using edm

* style

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

switch to logger.warning

adding the type gives you

```
TypeError: _StoreTrueAction.__init__() got an unexpected keyword argument 'type'
```

* 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

* add is_dora arg

* style

* add dora training feature to sd 1.5 script

* added notes about DoRA training

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

* fix bug in micro-conditioning of class images

* fix bug in micro-conditioning of class images

* style