GitLab

* attend and excite batch test causing timeouts

* pix2pix tests, no write to fs

* Skip variant tests (UNet1d, UNetRL) on mps.

mish op not yet supported.

* Exclude a couple of panorama tests on mps

They are too slow for fast CI.

* Exclude mps panorama from more tests.

* mps: exclude all fast panorama tests as they keep failing.

* add MultiDiffusionPanorama pipeline

* fix docs naming

* update pipeline name, remove redundant tests

* apply styling.

* debugging information.

* fix: assertion values.

* fix-copies.

* update docs

* update docs

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add

* finish

* add tests

* add tests

* up

* up

* pull from main

* uP

* Apply suggestions from code review

* finish

* Update docs/source/en/_toctree.yml
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* finish

* clean docs

* next

* next

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

* up

* up

---------
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix: slow tests.

* retrieving the slices.

* fix: assertion.

* debugging.

* debugging.

* debugging

* debugging.

* debugging

* debugging.

* debugging.

* debugging

* debugging

* change debugging.

* change debugging.

* fix: tests for pix2pix zero.

* enable_model_offload PoC

It's surprisingly more involved than expected, see comments in the PR.

* Rename final_offload_hook

* Invoke the vae forward hook manually.

* Completely remove decoder.

* Style

* apply_forward_hook decorator

* Rename method.

* Style

* Copy enable_model_cpu_offload

* Fix copies.

* Remove comment.

* Fix copies

* Missing import

* Fix doc-builder style.

* Merge main and fix again.

* Add docs

* Fix docs.

* Add a couple of tests.

* style

* Add Stable Diffusion Sw/ elf-Attention Guidance

* Modify __init__.py

* Register attention storing processor

* Update pipeline_stable_diffusion_sag.py

* Editing default value

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update dummy_torch_and_transformers_objects.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

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

* Update pipeline_stable_diffusion_sag.py

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

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

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

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

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

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

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

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

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

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

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Create test_stable_diffusion_sag.py

* Create self_attention_guidance.py

* Update pipeline_stable_diffusion_sag.py

* Update test_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Rename self_attention_guidance.py to self_attention_guidance.mdx

* Update self_attention_guidance.mdx

* Update self_attention_guidance.mdx

* Update _toctree.yml

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Fixing order

* Update pipeline_stable_diffusion_sag.py

* fixing import order

* fix order

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* Naming change

* Noting pred_x0

* Adding some fast tests

* Update pipeline_stable_diffusion_sag.py

* Update test_stable_diffusion_sag.py

* Update test_stable_diffusion_sag.py

* Update test_stable_diffusion_sag.py

* Update docs/source/en/api/pipelines/stable_diffusion/self_attention_guidance.mdx

* implement gaussian_blur

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

* fix tests

* Update pipeline_stable_diffusion_sag.py

* Update pipeline_stable_diffusion_sag.py

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

* add: support for BLIP generation.

* add: support for editing synthetic images.

* remove unnecessary comments.

* add inits and run make fix-copies.

* version change of diffusers.

* fix: condition for loading the captioner.

* default conditions_input_image to False.

* guidance_amount -> cross_attention_guidance_amount

* fix inputs to check_inputs()

* fix: attribute.

* fix: prepare_attention_mask() call.

* debugging.

* better placement of references.

* remove torch.no_grad() decorations.

* put torch.no_grad() context before the first denoising loop.

* detach() latents before decoding them.

* put deocding in a torch.no_grad() context.

* add reconstructed image for debugging.

* no_grad(0

* apply formatting.

* address one-off suggestions from the draft PR.

* back to torch.no_grad() and add more elaborate comments.

* refactor prepare_unet() per Patrick's suggestions.

* more elaborate description for .

* formatting.

* add docstrings to the methods specific to pix2pix zero.

* suspecting a redundant noise prediction.

* needed for gradient computation chain.

* less hacks.

* fix: attention mask handling within the processor.

* remove attention reference map computation.

* fix: cross attn args.

* fix: prcoessor.

* store attention maps.

* fix: attention processor.

* update docs and better treatment to xa args.

* update the final noise computation call.

* change xa args call.

* remove xa args option from the pipeline.

* add: docs.

* first test.

* fix: url call.

* fix: argument call.

* remove image conditioning for now.

* 🚨 add: fast tests.

* explicit placement of the xa attn weights.

* add: slow tests 🐢

* fix: tests.

* edited direction embedding should be on the same device as prompt_embeds.

* debugging message.

* debugging.

* add pix2pix zero pipeline for a non-deterministic test.

* debugging/

* remove debugging message.

* make caption generation _

* address comments (part I).

* address PR comments (part II)

* fix: DDPM test assertion.

* refactor doc.

* address PR comments (part III).

* fix: type annotation for the scheduler.

* apply styling.

* skip_mps and add note on embeddings in the docs.

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

* fix legacy inpaint noise and resize mask tensor

* updated legacy inpaint pipe test expected_slice

* [LoRA] All to use in inference with pipeline

* [LoRA] allow cross attention kwargs passed to pipeline

* finish

* 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>

* add text embeds to sd

* add text embeds to sd

* finish tests

* finish

* finish

* make style

* fix tests

* make style

* make style

* up

* better docs

* fix

* fix

* new try

* up

* up

* finish

* use cpu generator in slow tests

* ifx get_inputs

* being pix2pix

* ifx

* cfg image_latents

* fix some docstr

* fix

* fix

* hack

* fix

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

* add comments to explain the hack

* move __call__ to the top

* doc

* remove height and width

* remove depreications

* fix doc str

* quality

* fast tests

* chnage model id

* fast tests

* fix test

* address Pedro's comments

* copyright

* Simple doc page.

* Apply suggestions from code review

* style

* Remove import

* address some review comments

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

* style
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [Stable Diffusion Img2Img] resize source images to integer multiple of 8 instead of 32

* [Alt Diffusion Img2Img] resize source images to multiple of 8 instead of 32

* [Img2Img] fix AltDiffusion Img2Img resolution test

* [Img2Img] add Stable Diffusion Img2Img resolution test

* [Cycle Diffusion] round resolution to multiplies of 8 instead of 32

* [ONNX SD Img2Img] round resolution to multiplies of 64 instead of 32

* [SD Depth2Img] round resolution to multiplies of 8 instead of 32

* [Repaint] round resolution to multiplies of 8 instead of 32

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

* Make safety_checker optional in more pipelines.

* Remove inappropriate comment in inpaint pipeline.

* InPaint Test: set feature_extractor to None.

* Remove import

* img2img test: set feature_extractor to None.

* inpaint sd2 test: set feature_extractor to None.
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* [WIP] Nightly integration tests

* initial SD tests

* update SD slow tests

* style

* repaint

* ImageVariations

* style

* finish imgvar

* img2img tests

* debug

* inpaint 1.5

* inpaint legacy

* torch isn't happy about deterministic ops

* allclose -> max diff for shorter logs

* add SD2

* debug

* Update tests/pipelines/stable_diffusion_2/test_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* fix refs

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

* fix refs

* remove debug
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Fix ONNX img2img preprocessing and add fast tests coverage

* revert

* disable progressbars

* [SD] Make sure batched input works correctly

* uP

* uP

* up

* up

* uP

* up

* fix mask stuff

* up

* uP

* more up

* up

* uP

* up

* finish

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

* uP

* uP

* [ONNX] Fix flaky tests

* revert

* [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>

up

* 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

* StableDiffusion: Decode latents separately to run larger batches

* Move VAE sliced decode under enable_vae_sliced_decode and vae.enable_sliced_decode

* Rename sliced_decode to slicing

* fix whitespace

* fix quality check and repository consistency

* VAE slicing tests and documentation

* API doc hooks for VAE slicing

* reformat vae slicing tests

* Skip VAE slicing for one-image batches

* Documentation tweaks for VAE slicing
Co-authored-by: Ilmari Heikkinen <ilmari@fhtr.org>

* Add heun

* Finish first version of heun

* remove bogus

* finish

* finish

* improve

* up

* up

* fix more

* change progress bar

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

* finish

* up

* up

* up

Remove kwargs from call

* up

* uP

* up

* up

* fix

* uP

* more fixes

* up

* uP

* up

* up

* uP

* fix final tests

* Upscaling fixed

* up

* more fixes

* fix

* more fixes

* finish again

* up

* fix

* add test

* fix test

* uP

* up

* fix some tests