GitLab

* up

* uP

* uP

* make style

* Apply suggestions from code review

* up

* finish

* fix accelerate for testing

* fix copies

* uP

* add accelerate to load models with smaller memory footprint

* remove low_cpu_mem_usage as it is reduntant

* move accelerate init weights context to modelling utils

* add test to ensure results are the same when loading with accelerate

* add tests to ensure ram usage gets lower when using accelerate

* move accelerate logic to single snippet under modelling utils and remove it from configuration utils

* format code using to pass quality check

* fix imports with isor

* add accelerate to test extra deps

* only import accelerate if device_map is set to auto

* move accelerate availability check to diffusers import utils

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

* Conversion script

* ran black

* ran isort

* remove unused import

* map location so everything gets loaded onto CPU before conversion

* ran black again

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

* [CI] Localize the HF cache

* pip cache

* de-env

* refactor matrix

* fix fast cache

* less onnx steps

* revert

* revert pip cache

* revert pip cache

* remove debugging trigger

* Allow resolutions that are not multiples of 64

* ran black

* fix bug

* add test

* more explanation

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

* Handle the PIL.Image.Resampling deprecation

* style

* start

* finish

* Update black

* update table

* initial export and design

* update imports

* custom prover, import fixes

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

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

* remove push_to_hub

* Update src/diffusers/onnx_utils.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* remove torch_device

* numpify the rest of the pipeline

* torchify the safety checker

* revert tensor

* Code review suggestions + quality

* fix tests

* fix provider, add an end-to-end test

* style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* package `version` on main should have `.dev0` suffix

package `version` on main should have `.dev0` suffix, which is the convention followed in transformers [here](https://github.com/huggingface/transformers/blob/main/setup.py#L403)

which will also make the docs built into `main` folder in [doc-build diffusers](https://github.com/huggingface/doc-build/tree/main/diffusers)

* dev version should be incremented

* Update version in `__init__.py`

* [Commands] Add env command

* Apply suggestions from code review

uP

Add datasets + transformers to test deps

* Init CI

* clarify cpu

* style

* Check scripts quality too

* Drop smi for cpu tests

* Run PR tests on cpu docker envs

* Update .github/workflows/push_tests.yml
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Try minimal python container

* Print env, install stable GPU torch

* Manual torch install

* remove deprecated platform.dist()
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Pin black==22.3

* Add is_<framework>_available, refactor import utils

* deps

* quality

* Revive Make utils

* Add datasets for training too

* add a metrics logger

* fix LatentDiffusionUncondPipeline

* add VQModel in init

* add image logging to tensorboard

* switch manual templates to the modelcards package

* hide ldm example
Co-authored-by: patil-suraj <surajp815@gmail.com>