GitLab

* Fix timestep dtype in legacy inpaint

This matches the structure in the text2img, img2img, and inpaint ONNX pipelines

* Fix style in dtype patch

* refactor onnxruntime integration

* fix requirements.txt bug

* make style

* add support for textual_inversion

* make style

* add readme

* cleanup README files

* 1/27/2023 update to training scripts

* make style

* 1/30 update to train_unconditional

* style with black-22.8.0

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Co-authored-by: Prathik Rao <prathikrao@microsoft.com>
Co-authored-by: anton- <anton@huggingface.co>

scheduling_ddpm: fix variance in the case of learned_range type.

In the case of learned_range variance type, there are missing logs
and exponent comparing to the theory (see "Improved Denoising Diffusion
Probabilistic Models" section 3.1 equation 15:
https://arxiv.org/pdf/2102.09672.pdf).

* Short doc on changing the scheduler in Flax.

* Apply fix from @patil-suraj
Co-authored-by: Suraj Patil <surajp815@gmail.com>

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Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Create train_dreambooth_inpaint_lora.py

* Update train_dreambooth_inpaint_lora.py

* Update train_dreambooth_inpaint_lora.py

* Update train_dreambooth_inpaint_lora.py

* Update train_dreambooth_inpaint_lora.py

add citation.cff

Update xFormers docs.

* up

* finish

The dimension does not match when `inner_dim` is not equal to `in_channels`.

* add: guide on kerascv conversion tool.

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* address additional suggestions from review.

* change links to documentation-images.

* add separate links for training and inference goodies from diffusers.

* address Patrick's comments.

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Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

-- This commit adopts `requests` in place of `wget` to fetch config `.yaml`
   files as part of `load_pipeline_from_original_stable_diffusion_ckpt` API.
-- This was done because in Windows PowerShell one needs to explicitly ensure
   that `wget` binary is part of the PATH variable. If not present, this leads
   to the code not being able to download the `.yaml` config file.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
Co-authored-by: Abhishek Varma <abhishek@nod-labs.com>

* fix legacy inpaint noise and resize mask tensor

* updated legacy inpaint pipe test expected_slice

* Update README.md

* Update README.md

scheduling_ddpm: fix evaluate with lower timesteps count than train.
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Don't copy when unwrapping model.

Otherwise an exception is raised when using fp16.

* Remove unused import

* Section on using LoRA alpha / scale.

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

* Clarify on merge.

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

* finish more

* finish philosophy

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

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

Fix typo in accelerate and transformers versions.

Possible typo introduced in 7c82a16f

* Tmp.

* Adding more docs.

* Doc style.

* Remove the argument `use_safetensors=True`.

* doc-builder

Don't call the Hub if

Fix typo in loaders.py

* [LoRA] All to use in inference with pipeline

* [LoRA] allow cross attention kwargs passed to pipeline

* finish

Fix

* fuse attention mask

* lint

* use 0 beta when no attention mask re: @Birch-san

* fix PosixPath is not JSON serializable

* use PosixPath

* forgot elif like a dummy