GitLab

* add ip-adapter support

* support ip image embeds

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

* update

* update

* update

* add stable_diffusion_xl_ipex community pipeline

* make style for code quality check

* update docs as suggested

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

* update

* update

* Add attention masking to attn processors

* Update tensor conversion

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

* make text encoder component truly optional.

* more fixes

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

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

Fixed deprecation warning for torch.utils._pytree._register_pytree_node in PyTorch 2.2
Co-authored-by: Yinghua <yzho0423@uni.sydney.edu.au>

* fix

* update docstring

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

* Fixed typos in __init__ and in forward of Unet3DConditionModel

* Resolving conflicts

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

copy docstring for `strength` from  stablediffusion img2img pipeline to controlnet img2img pipelines

* first draft

* fix path

* fix path

* i2vgen-xl

* review

* modelscopet2v

* feedback

Update ip_adapter.md

* Update textual_inversion.py

* Apply suggestions from code review

* Update textual_inversion.py

* Update textual_inversion.py

* Update textual_inversion.py

* Update textual_inversion.py

* Update examples/textual_inversion/textual_inversion.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update textual_inversion.py

* styling

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

* standardize model card

* fix tags

* correct import styling and update tags

* run make style and make quality

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

* Fix words

* Fix

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

* Bugfix: correct import for diffusers

* Fix: Prompt2Prompt example

* Format style

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

* feat: allow low_cpu_mem_usage in ip adapter loading

* reduce the number of device placements.

* documentation.

* throw low_cpu_mem_usage warning only once from the main entry point.

* fix bug in micro-conditioning of class images

* fix bug in micro-conditioning of class images

* style

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

* use cases

* first draft

* fix image links

* lcm-lora

* feedback

* review

* feedback

* feedback

* use load_model_into_meta in single file utils

* propagate to autoencoder and controlnet.

* correct class name access behaviour.

* remove torch_dtype from load_model_into_meta; seems unncessary

* remove incorrect kwarg

* style to avoid extra unnecessary line breaks

* Update using_peft_for_inference.md

* add more explanation

* update

* update

* update

update

update

[DPMSolverSinglestepScheduler] correct `get_order_list` for `solver_order=2`and `lower_order_final=True`  (#6953)

* add

* change default

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

* update

* Updated lora inference instructions

* Update examples/dreambooth/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update README.md

* Update README.md

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

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

fix

* fix: bias loading bug

* fixes for SDXL

* apply changes to the conversion script to match single_file_utils.py

* do transpose to match the single file loading logic.

standardize model card template t21-adapter-sdxl

* update

* update

* update

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

* standardize model card template t2i-lora-sdxl

* type annotations