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* Respect offline mode when loading model

* default to local entry if connectionerror

* debug

* debug test_with_different_scales_fusion_equivalence

* use the right method.

* place it right.

* let's see.

* let's see again

* alright then.

* add a comment.

This reverts commit 7715e6c3.

This reverts commit fb4aec0c.

* disable running peft non-peft lora test in the peft env.

* Empty-Commit

* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.

* Update src/diffusers/models/unet_2d_blocks.py

This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/models/unet_2d_blocks.py

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

* Update unet_2d_blocks.py

I changed the Parameter to Args text.

* Update unet_2d_blocks.py

proper indentation set in this file.

* Update unet_2d_blocks.py

a little bit of change in the act_fun argument line.

* I run the black command to reformat style in the code

* Update unet_2d_blocks.py

similar doc-string add to have in the original diffusion repository.

* Batter way to write binarize function

* Solve check_code_quality error

* My mistake to run pull request but not reformated file

* Update image_processor.py

* remove extra variable and space

* Update image_processor.py

* Run ruff libarary to reformat my file

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

Update README_sdxl.md

* handle rest of the stuff related to deprecated lora stuff.

* fix: copies

* don't modify the uNet in-place.

* fix: temporal autoencoder.

* manually remove lora layers.

* don't copy unet.

* alright

* remove lora attn processors from unet3d

* fix: unet3d.

* styl

* Empty-Commit

* add: test to check if peft loras are loadable in non-peft envs.

* add torch_device approrpiately.

* fix: get_dummy_inputs().

* test logits.

* rename

* debug

* debug

* fix: generator

* new assertion values after fixing the seed.

* shape

* remove print statements and settle this.

* to update values.

* change values when lora config is initialized under a fixed seed.

* update colab link

* update notebook link

* sanity restored by getting the exact same values without peft.

add doc
Co-authored-by: yiyixuxu <yixu310@gmail,com>

correct reading variables

* add clip_skip, freeu, qkv

* fix

* add ip-adapter support

* callback on step end

* update

* fix NoneType bug

* fix

* add guidance scale embedding

* add textual inversion

[bug fix] using snr gamma and prior preservation loss in the dreambooth lora sdxl training scripts (#6356)

* change timesteps used to calculate snr when --with_prior_preservation is enabled

* change timesteps used to calculate snr when --with_prior_preservation is enabled (canonical script)

* style

* revert canonical script to before snr gamma change

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

* add StableDiffusionXLControlNetInpaintPipeline to auto pipeline

* fixed style

* Add unload_ip_adapter method

* Update attn_processors with original layers

* Add test

* Use set_default_attn_processor

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

* start deprecating loraattn.

* fix

* wrap into unet_lora_state_dict

* utilize text_encoder_lora_params

* utilize text_encoder_attn_modules

* debug

* debug

* remove print

* don't use text encoder for test_stable_diffusion_lora

* load the procs.

* set_default_attn_processor

* fix: set_default_attn_processor call.

* fix: lora_components[unet_lora_params]

* checking for 3d.

* 3d.

* more fixes.

* debug

* debug

* debug

* debug

* more debug

* more debug

* more debug

* more debug

* more debug

* more debug

* hack.

* remove comments and prep for a PR.

* appropriate set_lora_weights()

* fix

* fix: test_unload_lora_sd

* fix: test_unload_lora_sd

* use dfault attebtion processors.

* debu

* debug nan

* debug nan

* debug nan

* use NaN instead of inf

* remove comments.

* fix: test_text_encoder_lora_state_dict_unchanged

* attention processor default

* default attention processors.

* default

* style

* Update value_guided_sampling.py

Fix #6409

* Comply code style

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

* Fix gradient-checkpointing option is ignored in SDXL+LoRA training. (#6388)

* Fix gradient-checkpointing option is ignored in SD+LoRA training.

* Fix gradient checkpoint is not applied to text encoders. (SDXL+LoRA)

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

* Add new state_dict_utils to __init__ utils

* style

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

* Add WebUI format support to Advanced Training Script

* style

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

* Create convert_diffusers_sdxl_lora_to_webui.py

* Move some conversion logic to utils

* fix logging import

* Add usage example

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

remove unnecessary components from lora peft suite/

add note on fp16

* files added

* fixing code quality

* fixing code quality

* fixing code quality

* fixing code quality

* sorted import block

* seperated import wandb

* ruff on script

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

add details concerning diffusers-specific bits.

Fix support for MPS

MPS doesn't support float64

* refactor ip-adapter-imageproj, gligen

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Co-authored-by: yiyixuxu <yixu310@gmail,com>

* add to dreambooth lora.

* add: t2i lora.

* add: sdxl t2i lora.

* style

* lcm lora sdxl.

* unwrap

* fix: enable_adapters().

fix keys for lora format on advanced training scripts

* Fix ProdigyOPT in SDXL Dreambooth script

* style

* style

* Add PEFT to Advanced Training Script

* style

* style

* ✨ style ✨



* change order for logic operation

* add lora alpha

* style

* Align PEFT to new format

* Update train_dreambooth_lora_sdxl_advanced.py

Apply #6355 fix

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Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>

fix

* fix

* style fix

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

Fix bug when creating the guidance embeddings using multiple GPUs.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>