GitLab

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

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

* Remove suggestion to use cuDNN benchmark in docs

* removing the wrong line

* Allow user to disable SafetyChecker and enable dtypes if loading models from .ckpt or .safetensors

* Fix Import sorting (Ruff error)

* Get rid of the dtype convert method as it was implemented all along

* Fix the docstring

* Fix ruff formatting

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

Improve init

* Workaround for saving dynamo-wrapped models.

* Accept suggestion from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Apply workaround when overriding pipeline components.

* Ensure the correct config.json is saved to disk.

Instead of the dynamo class.

* Save correct module (not compiled one)

* Add test

* style

* fix docstrings

* Go back to using string comparisons.

PyTorch CPU does not have _dynamo.

* Simple test for save_pretrained of compiled models.

* Helper function to test whether module is compiled.

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

* add train_controlnet_flax

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

* add: better warning messages when handling multiple conditioning.

* fix: handling of controlnet_conditioning_scale

* Helper function to disable custom attention processors.

* Restore code deleted by mistake.

* Format

* Fix modeling_text_unet copy.

* Apply same ruff settings as in transformers

See https://github.com/huggingface/transformers/blob/main/pyproject.toml

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Apply new style rules

* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* style

* remove list, ruff wouldn't auto fix.

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Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* comment update

* comment update

* update docs to reflect the updated ckpts.

* update: point about prompt.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* emove image resizing.

* Apply suggestions from code review

* Apply suggestions from code review

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

* up

* fix more 7

* up

* finish

* update import onnxruntime package, enable onnxruntime-rocm and onnxruntime-training

* add ort_nightly_gpu