GitLab

* Add properties and `IPAdapterTesterMixin` tests for `StableDiffusionPanoramaPipeline`

* Fix variable name typo and update comments

* Update deprecated `output_type="numpy"` to "np" in test files

* Discard changes to src/diffusers/pipelines/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py

* Update test_stable_diffusion_panorama.py

* Update numbers in README.md

* Update get_guidance_scale_embedding method to use timesteps instead of w

* Update number of checkpoints in README.md

* Add type hints and fix var name

* Fix PyTorch's convention for inplace functions

* Fix a typo

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit 74350cf65b2c9aa77f08bec7937d7a8b13edb509.

* Fix typos

* Indent

* Refactor get_guidance_scale_embedding method in LEditsPPPipelineStableDiffusionXL class

change to 2024

* deprecate pipe

* make style

* update

* add deprecation message

* format

* remove tests for deprecated pipelines

* remove deprecation message

* make style

* fix copies

* clean up

* clean

* clean

* clean

* clean up

* clean up

* clean up toctree

* clean up

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

* move to nightly

* fix mistake

* move slow tests to nightly

* move slow tests to nightly

* initial commit

* move modules to import struct

* add dummy objects and _LazyModule

* add lazy import to schedulers

* clean up unused imports

* lazy import on models module

* lazy import for schedulers module

* add lazy import to pipelines module

* lazy import altdiffusion

* lazy import audio diffusion

* lazy import audioldm

* lazy import consistency model

* lazy import controlnet

* lazy import dance diffusion ddim ddpm

* lazy import deepfloyd

* lazy import kandinksy

* lazy imports

* lazy import semantic diffusion

* lazy imports

* lazy import stable diffusion

* move sd output to its own module

* clean up

* lazy import t2iadapter

* lazy import unclip

* lazy import versatile and vq diffsuion

* lazy import vq diffusion

* helper to fetch objects from modules

* lazy import sdxl

* lazy import txt2vid

* lazy import stochastic karras

* fix model imports

* fix bug

* lazy import

* clean up

* clean up

* fixes for tests

* fixes for tests

* clean up

* remove import of torch_utils from utils module

* clean up

* clean up

* fix mistake import statement

* dedicated modules for exporting and loading

* remove testing utils from utils module

* fixes from  merge conflicts

* Update src/diffusers/pipelines/kandinsky2_2/__init__.py

* fix docs

* fix alt diffusion copied from

* fix check dummies

* fix more docs

* remove accelerate import from utils module

* add type checking

* make style

* fix check dummies

* remove torch import from xformers check

* clean up error message

* fixes after upstream merges

* dummy objects fix

* fix tests

* remove unused module import

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

* create general cpu offload & execution device

* Remove boiler plate

* finish

* kp

* Correct offload more pipelines

* up

* Update src/diffusers/pipelines/pipeline_utils.py

* make style

* up

* up

* fix more

* Apply suggestions from code review

* fix more

* fix more

* Check it

* Remove 16:8

* fix more

* fix more

* fix more

* up

* up

* Test only stable diffusion

* Test only two files

* up

* Try out spinning up processes that can be killed

* up

* Apply suggestions from code review

* up

* up

* [Tests] parallelize

* finish folder structuring

* Parallelize tests more

* Correct saving of pipelines

* make sure logging level is correct

* try again

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

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

* ⚙️chore(train_controlnet) fix typo in logger message

* ⚙️chore(models) refactor modules order; make them the same as calling order

When printing the BasicTransformerBlock to stdout, I think it's crucial that the attributes order are shown in proper order. And also previously the "3. Feed Forward" comment was not making sense. It should have been close to self.ff but it's instead next to self.norm3

* correct many tests

* remove bogus file

* make style

* correct more tests

* finish tests

* fix one more

* make style

* make unclip deterministic

* ⚙

️chore(models/attention) reorganize comments in BasicTransformerBlock class

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

* Remove warmup passes in mps tests.

* Update mps docs: no warmup pass in PyTorch 2

* Update imports.

* [Tests] Correct PT2

* correct more

* move versatile to nightly

* up

* up

* again

* Apply suggestions from code review

* attend and excite batch test causing timeouts

* PipelineTesterMixin argument configuration refactor

* error message text re: @yiyixuxu

* remove eta re: @patrickvonplaten

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

* make tests deterministic

* run slow tests

* prepare for testing

* finish

* refactor

* add print statements

* finish more

* correct some test failures

* more fixes

* set up to correct tests

* more corrections

* up

* fix more

* more prints

* add

* up

* up

* up

* uP

* uP

* more fixes

* uP

* up

* up

* up

* up

* fix more

* up

* up

* clean tests

* up

* up

* up

* more fixes

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* make

* correct

* finish

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

* Fix/update LDM tests

* batched generators

* [WIP] Standardize fast pipeline tests with PipelineTestMixin

* refactor the sd tests a bit

* add more common tests

* add xformers

* add progressbar test

* cleanup

* upd fp16

* CycleDiffusionPipelineFastTests

* DanceDiffusionPipelineFastTests

* AltDiffusionPipelineFastTests

* StableDiffusion2PipelineFastTests

* StableDiffusion2InpaintPipelineFastTests

* StableDiffusionImageVariationPipelineFastTests

* StableDiffusionImg2ImgPipelineFastTests

* StableDiffusionInpaintPipelineFastTests

* remove unused mixins

* quality

* add missing inits

* try to fix mps tests

* fix mps tests

* add mps warmups

* skip for some pipelines

* style

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

* [CI] Add slow MPS tests

* fix yml

* temporarily resolve caching

* Tests: fix mps crashes.

* Skip test_load_pipeline_from_git on mps.

Not compatible with float16.

* Increase tolerance, use CPU generator, alt. slices.

* Move to nightly

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

* feat: switch core pipelines to use image arg

* test: update tests for core pipelines

* feat: switch examples to use image arg

* docs: update docs to use image arg

* style: format code using black and doc-builder

* fix: deprecate use of init_image in all pipelines

* Upscaling fixed

* up

* more fixes

* fix

* more fixes

* finish again

* up

* make sure fp16 runs well

* add fp16 test for superes

* Update src/diffusers/models/unet_2d.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* gen on cuda

* always run fast inferecne test on cpu

* run on cpu
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Better error message for transformers dummy

* [PIL] Better deprecation functionality

* up

* Match the generator device to the pipeline for DDPM and DDIM

* style

* fix

* update values

* fix fast tests

* trigger slow tests

* deprecate

* last value fixes

* mps fixes

* Add ldm super resolution pipeline

* style

* fix copies

* style

* fix doc

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

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

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

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

* add doc

* address comments

* address comments

* fix doc

* minor

* add tests

* add tests

* load text encoder from subfolder

* fix test

* fix test

* style

* style

* handle mps latents

* unfix typo

* unfix typo

* Update tests/pipelines/latent_diffusion/test_latent_diffusion_superresolution.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix set_timesteps mps

* fix set_timesteps mps

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

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

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

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

* style

* test 64x64 instead of 256x256
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* make accelerate hard dep

* default fast init

* move params to cpu when device map is None

* handle device_map=None

* handle torch < 1.9

* remove device_map="auto"

* style

* add accelerate in torch extra

* remove accelerate from extras["test"]

* raise an error if torch is available but not accelerate

* update installation docs

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

* improve defautl loading speed even further, allow disabling fats loading

* address review comments

* adapt the tests

* fix test_stable_diffusion_fast_load

* fix test_read_init

* temp fix for dummy checks

* Trigger Build

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

* [Tests] Speed up slow tests

* Up

* up

* Reorganize pipeline tests

* fix vq