GitLab

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

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Also capitalization notebook provider name

speed up test

* [2884]: Fix cross_attention_kwargs in StableDiffusionImg2ImgPipeline

* [Build Fix]

* [Build Fix]

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Co-authored-by: njindal <njindal@adobe.com>

* modify intel opts inference script

* modify readme

* modify doc

* fix some issues

* reformat

* reformat script

* format issue

* format issue

* Remove suggestion to use cuDNN benchmark in docs

* removing the wrong line

* add support for embeds

* fix line length

* fix slow tests

* uP

* add use_karras_sigmas option

thanks @Stax124

* fix sigma_min/max from scheduler.sigmas

* add docstring

* revert to use k_diffusion_model.sigma, to(device)

* add integration test

* make style

* add stable diffusion jax guide


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

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add case for parsing embedding from auto1111 UI format
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>

* fix style after rebase

* move textual inversion mixin to loaders

* move mixin inheritance to DiffusionPipeline from StableDiffusionPipeline)

* update dummy class name

* addressed allo comments

* fix old dangling import

* fix style

* proposal

* remove bogus

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>

* finish

* make style

* up

* fix code quality

* fix code quality - again

* fix code quality - 3

* fix alt diffusion code quality

* fix model editing pipeline

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Finish

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Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* img2img.multiple.controlnets.pipeline

* remove comments

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Co-authored-by: mishka <gartsocial@gmail.com>

add --half to convert_original_stable_diffusion_to_diffusers.py

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

* improve stable unclip doc.

* add: entry of StableUnCLIPPipeline to the docs

* Apply suggestions from code review
Co-authored-by: apolinario <joaopaulo.passos@gmail.com>

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Co-authored-by: apolinario <joaopaulo.passos@gmail.com>

* update performance tutorial

* fix divs

* oops forgot to close tag

* apply feedback

* apply feedback

* apply feedback

* align doc title

* improve stable unclip doc.

* feat: add streaming support to controlnet flax training script.

* fix: CLI arg.

* fix: torch dataloader shuffle setting.

* fix: dataset length.

* fix: wandb config.

* fix: steps_per_epoch in the training loop.

* add: entry about streaming in the readme

* get column names from iterable dataset + fix final logging

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

Fix typos

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Fix typos

Fix typos

Fix typos

[Tests] Adds a test to check if `image_embeds` None case is handled properly in `StableUnCLIPImg2ImgPipeline` (#2861)

* improve stable unclip doc.

* add: test to check if image_emebds None case is handled.

* apply formatting/

Co-authored-by: njindal <njindal@adobe.com>

Add warning in __init__ if user loads a checkpoint with pipeline.unet.config.in_channels other than 9.

Add last_epoch arg to optimization.get_scheduler.

Allows the specification of the index of the last epoch when
resuming training.

* Change the docs to use the parent DiffusionPipeline class when loading a checkpoint using from_pretrained() instead of a child class (e.g. StableDiffusionPipeline) where possible.

* Run make style to fix style issues.

* Change more docs to use DiffusionPipeline rather than a subclass.

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

Fix link to LoRA training guide