GitLab

* add ip-adapter


---------
Co-authored-by: okotaku <to78314910@gmail.com>
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* support lcm

* fix tests

* fix tests

Optimize test configurations for faster execution

* fix: sdxl pipeline when unet is not available.

* fix moe

* account for text

* ifx more

* don't make unet optional.

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

* split conditionals.

* add optional components to sdxl pipeline

* propagate changes to the rest of the pipelines.

* add: test

* add to all

* fix: rest of the pipelines.

* use pipeline_class variable

* separate pipeline mixin

* use safe_serialization

* fix: test

* access actual output.

* add: optional test to adapter and ip2p sdxl pipeline tests/

* add optional test to controlnet sdxl.

* fix tests

* fix ip2p tests

* fix more

* fifx more.

* use np output type.

* fix for StableDiffusionXLMultiControlNetPipelineFastTests.

* fix: SDXLOptionalComponentsTesterMixin

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

* fix tests

* Empty-Commit

* revert previous

* quality

* fix: test

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

* decrease UNet2DConditionModel & ControlNetModel blocks

* decrease UNet2DConditionModel & ControlNetModel blocks

* decrease even more blocks & number of norm groups

* decrease vae block out channels and n of norm goups

* fix code style

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

* pipline fetcher

* update script

* clean up

* clean up

* clean up

* new pipeline runner

* rename tests to match modules

* test actions in pr

* change runner to gpu

* clean up

* clean up

* clean up

* fix report

* fix reporting

* clean up

* show test stats in failure reports

* give names to jobs

* add lora tests

* split torch cuda tests and add compile tests

* clean up

* fix tests

* change push to run only on main

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

compile test fixes

* fix other tests

* fix tests

* fix tests

* Update tests/pipelines/shap_e/test_shap_e_img2img.py

* Update tests/pipelines/shap_e/test_shap_e_img2img.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix upstream merge mistake

* fix tests:

* test fix

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

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

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

* test fix

* fix tests

* fix report name

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

* Add BLIP Diffusion skeleton

* Add other model components

* Add BLIP2, need to change it for now

* Fix pipeline imports

* Load pretrained ViT

* Make qformer fwd pass same

* Replicate fwd passes

* Fix device bug

* Add accelerate functions

* Remove extra functions from Blip2

* Minor bug

* Integrate initial review changes

* Refactoring

* Refactoring

* Refactor

* Add controlnet

* Refactor

* Update conversion script

* Add image processor

* Shift postprocessing to ImageProcessor

* Refactor

* Fix device

* Add fast tests

* Update conversion script

* Fix checkpoint conversion script

* Integrate review changes

* Integrate reivew changes

* Remove unused functions from test

* Reuse HF image processor in Cond image

* Create new BlipImageProcessor based on transfomers

* Fix image preprocessor

* Minor

* Minor

* Add canny preprocessing

* Fix controlnet preprocessing

* Fix blip diffusion test

* Add controlnet test

* Add initial doc strings

* Integrate review changes

* Refactor

* Update examples

* Remove DDIM comments

* Add copied from for prepare_latents

* Add type anotations

* Add docstrings

* Do black formatting

* Add batch support

* Make tests pass

* Make controlnet tests pass

* Black formatting

* Fix progress bar

* Fix some licensing comments

* Fix imports

* Refactor controlnet

* Make tests faster

* Edit examples

* Black formatting/Ruff

* Add doc

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

* Move controlnet pipeline

* Make tests faster

* Fix imports

* Fix formatting

* Fix make errors

* Fix make errors

* Minor

* Add suggested doc changes
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Edit docs

* Fix 16 bit loading

* Update examples

* Edit toctree

* Update docs/source/en/api/pipelines/blip_diffusion.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Minor

* Add tips

* Edit examples

* Update model paths

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

* wip

* fix tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [LoRA] Centralize LoRA tests

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* 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>

* [ControlNet SDXL Inpainting] Support inpainting of ControlNet SDXL

Co-authored-by: Jiabin Bai 1355864570@qq.com


---------
Co-authored-by: Harutatsu Akiyama <kf.zy.qin@gmail.com>

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix



---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add: support negative conditions.

* fix: key

* add: tests

* address PR feedback.

* add documentation

* add img2img support.

* add inpainting support.

* ad controlnet support

* Apply suggestions from code review

* modify wording in the doc.

use max diff to compare model outputs

This reverts commit 7b07f981.

* enable lora for sdxl controlnets too.

* add: tests

* fix: assertion values.

* core: add multicontrolnet support to sdxl controlnet

* modify checks.

* fix: original_size determination

* add: tests for multi controlnet sdxl.

* remove unnecessary prints.

move controlnet load local tests to nihghtly

Accept pooled_prompt_embeds in the SDXL Controlnet pipeline. Fixes an error if prompt_embeds are passed. (#4309)

* Accept pooled_prompt_embeds in the SDXL Controlnet pipeline. Fixes an error if prompt_embeds are passed.

* Add a test for pooled prompt embeds

* Fix controlnet xl inference

* correct some sd xl control inference

* sdxl prompt2

* Improve checks

* doc linting

* whoops

* remove cat

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

* Add other pipelines and tests

* Add multi-prompting to docs

* doc and copies check

* Fix copied froms

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Bring back the original code for unrelated files

* Fix tests

* Fix img2img

* Fix all

* fix

---------
Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Fix bug in ControlNetPipelines with MultiControlNetModel of length 1

* Add tests for varying number of ControlNet models

* Fix missing indexing for control_guidance_start and control_guidance_end

* Fix code quality

* Separate test for MultiControlNet with one model

* Revert formatting of earlier test

* Add controlnet from single file

* Updates

* make style

* finish

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* add: controlnet sdxl.

* modifications to controlnet.

* run styling.

* add: __init__.pys

* incorporate https://github.com/huggingface/diffusers/pull/4019

 changes.

* run make fix-copies.

* resize the conditioning images.

* remove autocast.

* run styling.

* disable autocast.

* debugging

* device placement.

* back to autocast.

* remove comment.

* save some memory by reusing the vae and unet in the pipeline.

* apply styling.

* Allow low precision sd xl

* finish

* finish

* changes to accommodate the improved VAE.

* modifications to how we handle vae encoding in the training.

* make style

* make existing controlnet fast tests pass.

* change vae checkpoint cli arg.

* fix: vae pretrained paths.

* fix: steps in get_scheduler().

* debugging.

* debugging./

* fix: weight conversion.

* add: docs.

* add: limited tests./

* add: datasets to the requirements.

* update docstrings and incorporate the usage of watermarking.

* incorporate fix from #4083

* fix watermarking dependency handling.

* run make-fix-copies.

* Empty-Commit

* Update requirements_sdxl.txt

* remove vae upcasting part.

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

* run make style

* run make fix-copies.

* disable suppot for multicontrolnet.

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

* run make fix-copies.

* dtyle/.

* fix-copies.

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

* Correct controlnet out of list error

* Apply suggestions from code review

* correct tests

* correct tests

* fix

* test all

* Apply suggestions from code review

* test all

* test all

* Apply suggestions from code review

* Apply suggestions from code review

* fix more tests

* Fix more

* Apply suggestions from code review

* finish

* Apply suggestions from code review

* Update src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py

* finish

* Add guidance start/stop

* Add guidance start/stop to inpaint class

* Black formatting

* Add support for guidance for multicontrolnet

* Add inclusive end

* Improve design

* correct imports

* Finish

* Finish all

* Correct more

* make style

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

* [MultiControlNet] Allow save and load

* Correct more

* [MultiControlNet] Allow save and load

* make style

* Apply suggestions from code review

VaeImageProcessor.preprocess refactor

* refactored VaeImageProcessor 
   -  allow passing optional height and width argument to resize()
   - add convert_to_rgb
* refactored prepare_latents method for img2img pipelines so that if we pass latents directly as image input, it will not encode it again
* added a test in test_pipelines_common.py to test latents as image inputs
* refactored img2img pipelines that accept latents as image: 
   - controlnet img2img, stable diffusion img2img , instruct_pix2pix

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Fix guess mode controlnet for euler-like schedulers

* make style

* Co-authored-by: Chanchana Sornsoontorn <off.chanchana@gmail.com>

* Add co author Co-authored-by: Chanchana Sornsoontorn <off.chanchana@gmail.com>

* 2nd try
Co-authored-by: Chanchana Sornsoontorn <off.chanchana@gmail.com>

[Stable Diffusion Inpainting] Allow standard text-to-img checkpoints to be useable for SD inpainting (#3533)

* Add default to inpaint

* Make sure controlnet also works with normal sd for inpaint

* Add tests

* improve

* Correct encode images function

* Correct inpaint controlnet

* Improve text2img inpanit

* make style

* up

* up

* up

* up

* fix more

* Run ControlNet compile test in a separate subprocess

`torch.compile()` spawns several subprocesses and the GPU memory used
was not reclaimed after the test ran. This approach was taken from
`transformers`.

* Style

* Prepare a couple more compile tests to run in subprocess.

* Use require_torch_2 decorator.

* Test inpaint_compile in subprocess.

* Run img2img compile test in subprocess.

* Run stable diffusion compile test in subprocess.

* style

* Temporarily trigger on pr to test.

* Revert "Temporarily trigger on pr to test."

This reverts commit 82d76868ddf9cc634a9f14b2b0aef1d5433cd750.

* 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

* refactor controlnet and add img2img and inpaint

* First draft to get pipelines to work

* make style

* Fix more

* Fix more

* More tests

* Fix more

* Make inpainting work

* make style and more tests

* Apply suggestions from code review

* up

* make style

* Fix imports

* Fix more

* Fix more

* Improve examples

* add test

* Make sure import is correctly deprecated

* Make sure everything works in compile mode

* make sure authorship is correctly attributed