GitLab

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* Initial commit P2P

* Replaced CrossAttention, added test skeleton

* bug fixes

* Updated docstring

* Removed unused function

* Created tests

* improved tests

- made fast inference tests faster
- corrected image shape assertions

* Corrected expected output shape in tests

* small fix: test inputs

* Update tests

- used conditional unet2d
- set expected image slices
- edit_kwargs are now not popped, so pipe can be run multiple times

* Fixed bug in int tests

* Fixed tests

* Linting

* Create prompt2prompt.md

* Added to docs toc

* Ran make fix-copies

* Fixed code blocks in docs

* Using same interface as StableDiffusionPipeline

* Fixed small test bug

* Added all options SDPipeline.__call_ has

* Fixed docstring; made __call__ like in SD

* Linting

* Added test for multiple prompts

* Improved docs

* Incorporated feedback

* Reverted formatting on unrelated files

* Moved prompt2prompt to community

- Moved prompt2prompt pipeline from main to community
- Deleted tests
- Moved documentation to community and shorted it

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

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

* examples fix t2i training

* make style

* 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

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

add: tests for t2i adapter training.

* add t2i_example script

* remove in channels logic

* remove comments

* remove use_euler arg

* add requirements

* only use canny example

* use datasets

* comments

* make log_validation consistent with other scripts

* add readme

* fix title in readme

* update check_min_version

* change a few minor things.

* add doc entry

* add: test for t2i adapter training

* remove use_auth_token

* fix: logged info.

* remove tests for now.

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

* Add --vae_precision option to the SDXL pix2pix script so that we have the option of avoiding float32 overhead

* style

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Co-authored-by: bghira <bghira@users.github.com>

* Resetting rdm pr

* Fixed styles

* Fixed style

* Moved to rdm folder+fixed slight errors

* Removed config diff

* Started adding tests

* Adding retrieved images

* Fixed faiss import

* Fixed import errors

* Fixing tests

* Added require_faiss

* Updated dependency table

* Attempt solving consistency test

* Fixed truncation and vocab size issue

* Passed common tests

* Finished up cpu testing on pipeline

* Passed all tests locally

* Removed some slow tests

* Removed diffs from test_pipeline_common

* Remove logs

* Removed diffs from test_pipelines_common

* Fixed style

* Fully fixed styles on diffs

* Fixed name

* Proper rename

* Fixed dummies

* Fixed issue with dummyonnx

* Fixed black style

* Fixed dummies

* Changed ordering

* Fixed logging

* Fixing

* Fixing

* quality

* Debugging regex

* Fix dummies with guess

* Fixed typo

* Attempt fix dummies

* black

* ruff

* fixed ordering

* Logging

* Attempt fix

* Attempt fix dummy

* Attempt fixing styles

* Fixed faiss dependency

* Removed unnecessary deprecations

* Finished up main changes

* Added doc

* Passed tests

* Fixed tests

* Remove invisible watermark

* Fixed ruff errors

* Added prompt embed to tests

* Added tests and made retriever an optional component

* Fixed styles

* Made faiss a dependency of pipeline

* Logging

* Fixed dummies

* Make pipeline test work

* Fixed style

* Moved to research projects

* Remove diff

* Fixed style error

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

* Fix potential type conversion errors in SDXL pipelines

* make sure vae stays in fp16

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

* Create masked_stable_diffusion_img2img.py

* add MaskedIm2ImPipeline to readme

* Update README.md

* Increase min accelerate ver to avoid OOM when mixed precision

* Rm re-instantiation of VAE

* Rm casting to float32

* Del unused models and free GPU

* Fix style

* Update textual_inversion.py

fixed safe_path bug in textual inversion training

* Update test_examples.py

update test_textual_inversion for updating saved file's name

* Update textual_inversion.py

fixed some formatting issues

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

* empty PR

* init

* changes

* starting with the pipeline

* stable diff

* prev

* more things, getting started

* more functions

* makeing it more readable

* almost done testing

* var changes

* testing

* device

* device support

* maybe

* device malfunctions

* new new

* register

* testing

* exec does not work

* float

* change info

* change of architecture

* might work

* testing with colab

* more attn atuff

* stupid additions

* documenting and testing

* writing tests

* more docs

* tests and docs

* remove test

* empty PR

* init

* changes

* starting with the pipeline

* stable diff

* prev

* more things, getting started

* more functions

* makeing it more readable

* almost done testing

* var changes

* testing

* device

* device support

* maybe

* device malfunctions

* new new

* register

* testing

* exec does not work

* float

* change info

* change of architecture

* might work

* testing with colab

* more attn atuff

* stupid additions

* documenting and testing

* writing tests

* more docs

* tests and docs

* remove test

* change cross attention

* revert back

* tests

* reverting back to orig

* changes

* test passing

* pipeline changes

* before quality

* quality checks pass

* remove print statements

* doc fixes

* __init__ error something

* update docs, working on dim

* working on encoding

* doc fix

* more fixes

* no more dependent on 512*512

* update docs

* fixes

* test passing

* remove comment

* fixes and migration

* simpler tests

* doc changes

* green CI

* changes

* more docs

* changes

* new images

* to community examples

* selete

* more fixes

* changes

* fix

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

* Optional images variable train_custom_diffusion.py

* Fixed train_custom_diffusion.py

* Revert accidental changes to unet_2d_condition.py

* "Format code with black"

* fix sdxl_lwp empty neg_prompt error issue

* fix sdxl_lwp empty neg_prompt error issue, update code format

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

* fix sdxl dreambooth lora checkpointing.

* style

Add madebyollin VAE to LoRA example, along with an explenation

* dreambooth training

* train_dreambooth validation scheduler

* set a particular scheduler via a string

* modify readme after setting a particular scheduler via a string

* modify readme after setting a particular scheduler

* use importlib to set a particular scheduler

* import with correct sort

* fix: casting issues.

* fix checkpointing.

* tests

* fix: bugs

* rename test file to run, so that examples tests do not fail

* [Tests] Rename community tests

* ADD SDXL reference & reference adain

* Update README.md

* Update README.md

* format stable_diffusion_xl_reference.py

* format file

* Format file

* format file

* fix format

* fix format with ruff

* fix format

* Update examples/community/README.md
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update examples/community/README.md
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update README.md

* Update README.md & fix typo

* Update README.md

* fix format

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Add SDXL long weighted prompt pipeline

* Add SDXL long weighted prompt pipeline usage sample in the readme document

* Add SDXL long weighted prompt pipeline usage sample in the readme document, add result image

* make safetensors default

* set default save method as safetensors

* update tests

* update to support saving safetensors

* update test to account for safetensors default

* update example tests to use safetensors

* update example to support safetensors

* update unet tests for safetensors

* fix failing loader tests

* fix qc issues

* fix pipeline tests

* fix example test

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* push to hub docs

* fix typo

* feedback

* make style

add controlent script,

* add: train to text image with sdxl script.
Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>

* fix: partial func.

* fix: default value of output_dir.

* make style

* set num inference steps to 25.

* remove mentions of LoRA.

* up min version

* add: ema cli arg

* run device placement while running step.

* precompute vae encodings too.

* fix

* debug

* should work now.

* debug

* debug

* goes alright?

* style

* debugging

* debugging

* debugging

* debugging

* fix

* reinit scheduler if prediction_type was passed.

* akways cast vae in float32

* better handling of snr.
Co-authored-by: bghira <bghira@users.github.com>

* the vae should be also passed

* add: docs.

* add: sdlx t2i tests

* save the pipeline

* autocast.

* fix: save_model_card

* fix: save_model_card.

---------
Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: bghira <bghira@users.github.com>

* Update README_sdxl.md to fix mentions

* add --push_to_hub

* add --push_to_hub

* fix: mention

* add: utility for image grid.

* add: return type.

* change necessary places.

* add to utility page.

network_alpha

* [WIP] Remove code snippets containing `is_safetensors_available()`

* Modifying `import_utils.py`

* update pipeline tests for safetensor default

* fix test related to cached requests

* address import nits

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* convert tensorrt controlnet

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix number controlnet condition

* Add convert SD XL to onnx

* Add convert SD XL to tensorrt

* Add convert SD XL to tensorrt

* Add examples in comments

* Add examples in comments

* Add test onnx controlnet

* Add tensorrt test

* Remove copied

* Move file test to examples/community

* Remove script

* Remove script

* Remove text

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Co-authored-by: dotieuthien <thien.do@mservice.com.vn>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update README_sdxl.md