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* use memory_efficient_attention by default

* Update src/diffusers/models/attention.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* use accelerator to check mixed_precision

* default `mixed_precision` to `None`

* pass mixed_precision to accelerate launch

* Add pipeline_stable_diffusion_safe.py to pipelines

* Fix repository consistency

Ran make fix-copies after adding new pipline

* Add Paper/Equation reference for parameters to doc string

* Ensure code style and quality

* Perform code refactoring

* Fix copies inherited from merge with huggingface/main

* Add docs

* Fix code style

* Fix errors in documentation

* Fix refactoring error

* remove debugging print statement

* added Safe Latent Diffusion tests

* Fix style

* Fix style

* Add pre-defined safety configurations

* Fix line-break

* fix some tests

* finish

* Change safety checker

* Add missing safety_checker.py file

* Remove unused imports
Co-authored-by: PatrickSchrML <patrick_schramowski@hotmail.de>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* up

* add readme

* up

* uP

perf: prefer batched matmuls for attention. added fast-path to Decoder when num_heads=1

* Create bit_diffusion.py

Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG

* adding bit diffusion to new branch

ran tests

* tests

* tests

* tests

* tests

* removed test folders + added to README

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

* Update alt_diffusion.mdx

* Update alt_diffusion.mdx

Handle batches and Tensors in `pipeline_stable_diffusion_inpaint.py:prepare_mask_and_masked_image` (#1003)

* Handle batches and Tensors in `prepare_mask_and_masked_image`

* `blackfy`
upgrade `black`

* handle mask as `np.array`

* add docstring

* revert `black` changes with smaller line length

* missing ValueError in docstring

* raise `TypeError` for image as tensor but not mask

* typo in mask shape selection

* check for batch dim

* fix: wrong indentation

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

Minor change to Imagic Readme

Missing dir causes an error when running the example code.

Update README.md

Minor spelling mistake.

* support negative prompts in sd jax pipeline

* pass batched neg_prompt

* only encode when negative prompt is None
Co-authored-by: Juan Acevedo <jfacevedo@google.com>

* Add legacy inpainting pipeline compatibility for onnx

* remove commented out line

* Add onnx legacy inpainting test

* Fix slow decorators

* pep8 styling

* isort styling

* dummy object

* ordering consistency

* style

* docstring styles

* Refactor common prompt encoding pattern

* Update tests to permanent repository home

* support all available schedulers until ONNX IO binding is available
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* updated styling from PR suggested feedback
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the  `integrate.quad` call later on- by long I mean more than 10x slower.
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* Avoid nested `# Copied from` statements during `make fix-copies`

* style

* [Examples] Correct path

* uP

* inpaint fix k lms

* onnox as well

* up

[FLAX] Fix loading scheduler from subfolder

* add docs for multi-modal

* many changes

* fix docs build

* fix links

* Update docs/source/using-diffusers/other-modalities.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* make fix copies again

* Fix typo

* [Custom pipeline] Easier loading of local pipelines

* upgrade black

* integrate ort

* use return_dict=False

* revert unet return value change

* revert unet return value change

* add note to readme

* adjust readme

* add contact

* `make style`
Co-authored-by: Prathik Rao <prathikrao@microsoft.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* Temporary local test for PIL_INTERPOLATION

* Fix examples too.

* text inpainting

* refactor

* doc string args shape fix

* fix styling

* vq diffusion classifier free sampling

* correct

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

mutli GPU support

* Better error message for transformers dummy

* [PIL] Better deprecation functionality

* up