GitLab

* add api doc for flax pipeline + doc string examples

* make style

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Co-authored-by: yiyixuxu <yixu@yis-macbook-pro.lan>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Fixed incorrect width/height assignment in StableDiffusionDepth2ImgPipeline when passing in tensor

* add lora

* Update examples/research_projects/lora/README.md

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

* Add OpenVINO documentation

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

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

* 📝 update and minor refactor

* ✨ minor edits

* 📝 add mechanism for building colab notebook

* 🖍 add notebooks to correct folder

* 🖍 fix folder name

* convert img2img.mdx into notebook doc

* fix

* Update docs/source/en/using-diffusers/img2img.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: yiyixuxu <yixu@yis-macbook-pro.lan>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* 📝 add textual inversion examples to docs

* 🖍 apply feedback

* 🖍 add colab link

* Improve dynamic threshold

* Update code

* Add dynamic threshold to ddim and ddpm

* Encapsulate and leverage code copy mechanism

Update style

* Clean up DDPM/DDIM constructor arguments

* add test

* also add to unipc

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Co-authored-by: Peter Lin <peterlin9863@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* add docs

* correct

* finish

* Apply suggestions from code review
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update deps table

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

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Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Added multitoken training for textual inversion

* Updated assertion

* Removed duplicate save code

* Fixed undefined bug

* Fixed save

* Added multitoken clip model +util helper

* Removed code splitting

* Removed class

* Fixed errors

* Fixed errors

* Added loading functionality

* Loading via dict instead

* Fixed bug of invalid index being loaded

* Fixed adding placeholder token only adding 1 token

* Fixed bug when initializing tokens

* Fixed bug when initializing tokens

* Removed flawed logic

* Fixed vector shuffle

* Fixed tokenizer's inconsistent __call__ method

* Fixed tokenizer's inconsistent __call__ method

* Handling list input

* Added exception for adding invalid tokens to token map

* Removed unnecessary files and started working on progressive tokens

* Set at minimum load one token

* Changed to global step

* Added method to load automatic1111 tokens

* Fixed bug in load

* Quality+style fixes

* Update quality/style fixes

* Cast embeddings to fp16 when loading

* Fixed quality

* Started moving things over

* Clearing diffs

* Clearing diffs

* Moved everything

* Requested changes

Support revision in Flax text-to-image training.

* first draft of updated quicktour

* 🖍 apply feedbacks

* 🖍 apply feedback and minor edits

* 🖍 add link to safety checker

* include text2image lora training in docs

* 🖍 apply feedback

* 🖍 minor edits

* move dbooth github stuff to docs

* add notebooks

* 🖍 minor shuffle

* 🖍 fix markdown table

* 🖍 apply feedback

* ✨ make style

* 🖍 minor fix in code snippet

* move relevant code from text2image on GitHub to docs

* 🖍 add inference for text2image with flax

* 🖍 apply feedback

* community controlnet inpainting pipelines

* add community member attribution re: @pcuenca

* add  intermediate logging
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Co-authored-by: yiyixuxu <yixu310@gmail,com>

* Update textual_inversion_flax.py

* Update textual_inversion_flax.py

* Typo

sorry.

* Format source

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

* add lora convertor

* Update convert_lora_safetensor_to_diffusers.py

* Update README.md

* Update convert_lora_safetensor_to_diffusers.py

* [Onnx] add Stable Diffusion Upscale pipeline

* add a test for the OnnxStableDiffusionUpscalePipeline

* check for VAE config before adjusting scaling factor

* update test assertions, lint fixes

* run fix-copies target

* switch test checkpoint to one hosted on huggingface

* partially restore attention mask

* reshape embeddings after running text encoder

* add longer nightly test for ONNX upscale pipeline

* use package import to fix tests

* fix scheduler compatibility and class labels dtype

* use more precise type

* remove LMS from fast tests

* lookup latent and timestamp types

* add docs for ONNX upscaling, rename lookup table

* replace deprecated pipeline names in ONNX docs

* unclip img interpolation poc

* Added code sample and refactoring.