GitLab

When doing generation manually and using guidance_scale as a static
argument.

* Update documentation

Based on sampling, the width and height must be powers of 2 as the samples halve in size each time

* make style

* `AttentionProcessor.group_norm` num_channels should be `query_dim`

The group_norm on the attention processor should really norm the number
of channels in the query _not_ the inner dim. This wasn't caught before
because the group_norm is only used by the added kv attention processors
and the added kv attention processors are only used by the karlo models
which are configured such that the inner dim is the same as the query
dim.

* add_{k,v}_proj should be projecting to inner_dim

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

* add TextToVideoZeroPipeline and CrossFrameAttnProcessor

* add docs for text-to-video zero

* add teaser image for text-to-video zero docs

* Fix review changes. Add Documentation. Add test

* clean up the codes in pipeline_text_to_video.py. Add descriptive comments and docstrings

* make style && make quality

* make fix-copies

* make requested changes to docs. use huggingface server links for resources, delete res folder

* make style && make quality && make fix-copies

* make style && make quality

* Apply suggestions from code review

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

`encoder_hid_dim` provides an additional projection for the input `encoder_hidden_states` from `encoder_hidden_dim` to `cross_attention_dim`

dynamic threshold sampling bug fix and docs

Co-authored-by: wangguan <dizhipeng.dzp@alibaba-inc.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update the K-Diffusion SD pipeline, to allow calling it with only prompt_embeds (instead of always requiring a prompt) (#2962)

* [2905]: Add Karras pattern to discrete euler

* [2905]: Add Karras pattern to discrete euler

* Review comments

* Review comments

* Review comments

* Review comments

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

* [Pipeline download] Improve pipeline download for index and passed components

* correct

* add more tests

* up

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

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

* [2884]: Fix cross_attention_kwargs in StableDiffusionImg2ImgPipeline

* [Build Fix]

* [Build Fix]

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

* Remove suggestion to use cuDNN benchmark in docs

* removing the wrong line

* add support for embeds

* fix line length

* 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 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

---------
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>

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.

Update the legacy inpainting SD pipeline, to allow calling it with only prompt_embeds (instead of always requiring a prompt) (#2842)

Fix error 'required positional argument: prompt' when Legacy Inpaint is called only with prompt_embeds

* Remove duplicate sentence

* format