GitLab

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

* added StableDiffusionCanvasPipeline pipeline

* Added utils codes to pipe_utils file.

* make style

* delete mixture.py and Text2ImageRegion class

* make style

* Added the codes to the readme.md file.

* Moved functions from pipeline_utils to mix_canvas

* Fix custom releases

* make style

[tests] Run slow matrix sequentially.

* Implement option for rescaling betas to zero terminal SNR

* Implement rescale classifier free guidance in pipeline_stable_diffusion.py

* focus on DDIM

* make style

* make style

* make style

* make style

* Apply suggestions from Peter Lin

* Apply suggestions from Peter Lin

* make style

* Apply suggestions from code review

* Apply suggestions from code review

* make style

* make style

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Co-authored-by: MaxWe00 <gitlab.9v1lq@slmail.me>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add draft for lora text encoder scale

* Improve naming

* fix: training dreambooth lora script.

* Apply suggestions from code review

* Update examples/dreambooth/train_dreambooth_lora.py

* Apply suggestions from code review

* Apply suggestions from code review

* add lora mixin when fit

* add lora mixin when fit

* add lora mixin when fit

* fix more

* fix more

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

* support views batch for panorama

* add entry for the new argument

* format entry for the new argument

* add view_batch_size test

* fix batch test and a boundary condition

* add more docstrings

* fix a typos

* fix typos

* add: entry to the doc about view_batch_size.

* Revert "add: entry to the doc about view_batch_size."

This reverts commit a36aeaa9edf9b662d09bbfd6e18cbc556ed38187.

* add a tip on .

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

- use the correct Prior hub model id
 - use the new names in KandinskyPriorPipelineOutput

* refactor x4 upscaler

* style

* copies

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

* feat: add lora attention processor for pt 2.0.

* explicit context manager for SDPA.

* switch to flash attention

* make shapes compatible to work optimally with SDPA.

* fix: circular import problem.

* explicitly specify the flash attention kernel in sdpa

* fall back to efficient attention context manager.

* remove explicit dispatch.

* fix: removed processor.

* fix: remove optional from type annotation.

* feat: make changes regarding LoRAAttnProcessor2_0.

* remove confusing warning.

* formatting.

* relax tolerance for PT 2.0

* fix: loading message.

* remove unnecessary logging.

* add: entry to the docs.

* add: network_alpha argument.

* relax tolerance.

* merge undoable-monkeypatch

* remove TEXT_ENCODER_TARGET_MODULES, refactoring

* move create_lora_weight_file

fix link to load_lora_weights

* move activation dispatches into helper function

* tests

VaeImageProcessor.preprocess refactor

* refactored VaeImageProcessor 
   -  allow passing optional height and width argument to resize()
   - add convert_to_rgb
* refactored prepare_latents method for img2img pipelines so that if we pass latents directly as image input, it will not encode it again
* added a test in test_pipelines_common.py to test latents as image inputs
* refactored img2img pipelines that accept latents as image: 
   - controlnet img2img, stable diffusion img2img , instruct_pix2pix

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* part 2 of api fixes

* move randn_tensor

* add to toctree

* apply feedback

* more feedback

* fix: assertion.

* assertion fix.

* Update Compel documentation for textual inversions

* Fix typo

Correct multi gpu

* load a1111 lora

* fix

* apply feedback

* fix

Expose num_cycles kwarg of get_schedule() through args.lr_num_cycles.

So that schedule_func() calls get_piecewise_constant_schedule() with correctly named kwarg.

* dreambooth if docs - stage II, more info

* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* download instructions for downsized images

* update source README to match docs

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

* set config from original module but set compiled module on class

* add test

* add tensorrt inpaint pipeline
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* run make style
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

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Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Updated the filename and readme file.

* reformatter

* reformetter

* fix latents

* fix copies

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

fixed typo

* iterate over unique tokens to avoid duplicate replacements

* added test for multiple references to multi embedding

* adhere to black formatting

* reorder test post-rebase

* add _convert_kohya_lora_to_diffusers

* make style

* add scaffold

* match result: unet attention only

* fix monkey-patch for text_encoder

* with CLIPAttention

While the terrible images are no longer produced,
the results do not match those from the hook ver.
This may be due to not setting the network_alpha value.

* add to support network_alpha

* generate diff image

* fix monkey-patch for text_encoder

* add test_text_encoder_lora_monkey_patch()

* verify that it's okay to release the attn_procs

* fix closure version

* add comment

* Revert "fix monkey-patch for text_encoder"

This reverts commit bb9c61e6faecc1935c9c4319c77065837655d616.

* Fix to reuse utility functions

* make LoRAAttnProcessor targets to self_attn

* fix LoRAAttnProcessor target

* make style

* fix split key

* Update src/diffusers/loaders.py

* remove TEXT_ENCODER_TARGET_MODULES loop

* add print memory usage

* remove test_kohya_loras_scaffold.py

* add: doc on LoRA civitai

* remove print statement and refactor in the doc.

* fix state_dict test for kohya-ss style lora

* Apply suggestions from code review
Co-authored-by: Takuma Mori <takuma104@gmail.com>

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

* Improve docs

* up

* Update docs/source/en/api/pipelines/kandinsky.mdx

* up

* up

* correct more

* further improve

* Update docs/source/en/api/pipelines/kandinsky.mdx
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

include the instruction-tuning blog link.

* update dreambooth lora to work with IF stage II

* Update dreambooth script for IF stage II upscaler