GitLab

* ONNX supervised inpainting

* sync with the torch pipeline

* fix concat

* update ref values

* back to 8 steps

* type fix

* make fix-copies

* begin pipe

* add new pipeline

* add tests

* correct fast test

* up

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py

* Update tests/test_pipelines.py

* up

* up

* make style

* add fp16 test

* doc, comments

* up
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* finish

* up

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* Update src/diffusers/pipeline_utils.py

* Finish
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* [WIP] Onnx img2img determinism

* more numpy + seed

* numpy inpainting, tolerance

* revert test workflow

* * Stabe Diffusion img2img using onnx.

* * Stabe Diffusion inpaint using onnx.

* Export vae_encoder, upgrade img2img, add test

* updated inpainting pipeline + test

* style
Co-authored-by: anton-l <anton@huggingface.co>

* allow fine-tuning text encoder

* fix a few things

* update readme

Rename and deprecate

Fix autoencoder test.

* [CI] Add Apple M1 tests

* setup-python

* python build

* conda install

* remove branch

* only 3.8 is built for osx-arm

* try fetching prebuilt tokenizers

* use user cache

* update shells

* Reports and cleanup

* -> MPS

* Disable parallel tests

* Better naming

* investigate worker crash

* return xdist

* restart

* num_workers=2

* still crashing?

* faulthandler for segfaults

* faulthandler for segfaults

* remove restarts, stop on segfault

* torch version

* change installation order

* Use pre-RC version of PyTorch.

To be updated when it is released.

* Skip crashing test on MPS, add new one that works.

* Skip cuda tests in mps device.

* Actually use generator in test.

I think this was a typo.

* make style
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

🎨 rename frame filename

Update README.md

Update README.md

Fix training push_to_hub (unconditional image generation): models were not saved before pushing to hub (#868)

Fix: models were not saved before pushing to hub.

* up

* Finish

* uP

* correct

* make style

* small change

* ✨ Add Stable Diffusion Interpolation Example

* 💄

 style

* Update examples/community/interpolate_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

[DeviceMap] Make sure stable diffusion can be loaded from older transformers versiosn

* Fix Flax pipeline: width and height are ignored #838

* Fix Flax pipeline: width and height are ignored

* Bump to 0.6.0.dev0

* Deprecate tensor_format and .samples

* style

* upd

* upd

* style

* sample -> images

* Update src/diffusers/schedulers/scheduling_ddpm.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_ddim.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_karras_ve.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_lms_discrete.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_pndm.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_sde_ve.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/schedulers/scheduling_sde_vp.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Patch Release: 0.5.1

fix nsfw bug

* up

* finish

* add more tests

* up

* up

* finish

* Remove set_format in Flax pipeline.

* Remove DummyChecker.

* Run safety_checker in pipeline.

* Don't pmap on every call.

We could have decorated `generate` with `pmap`, but I wanted to keep it
in case someone wants to invoke it in non-parallel mode.

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

* Replicate outside __call__, prepare for optional jitting.

* Remove unnecessary clipping.

As suggested by @kashif.

* Do not jit unless requested.

* Send all args to generate.

* make style

* Remove unused imports.

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

* Give more customizable options for safety checker

* Apply suggestions from code review

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

* Finish

* make style

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

* up
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

Fix dreambooth loss type with prior preservation

* update flax scheduler API

* remoev set format

* fix call to scale_model_input

* update flax pndm

* use int32

* update docstr