GitLab

* refactoring of encode_prompt()

* better handling of device.

* fix: device determination

* fix: device determination 2

* handle num_images_per_prompt

* revert changes in loaders.py and give birth to encode_prompt().

* minor refactoring for encode_prompt()/

* make backward compatible.

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

* fix: concatenation of the neg and pos embeddings.

* incorporate encode_prompt() in test_stable_diffusion.py

* turn it into big PR.

* make it bigger

* gligen fixes.

* more fixes to fligen

* _encode_prompt -> encode_prompt in tests

* first batch

* second batch

* fix blasphemous mistake

* fix

* fix: hopefully for the final time.

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

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

* adding save and load for MultiAdapter, adding test

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

* Adding changes from review test_stable_diffusion_adapter

* import sorting fix

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

* Fuse loras

* initial implementation.

* add slow test one.

* styling

* add: test for checking efficiency

* print

* position

* place model offload correctly

* style

* style.

* unfuse test.

* final checks

* remove warning test

* remove warnings altogether

* debugging

* tighten up tests.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* denugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debuging

* debugging

* debugging

* debugging

* suit up the generator initialization a bit.

* remove print

* update assertion.

* debugging

* remove print.

* fix: assertions.

* style

* can generator be a problem?

* generator

* correct tests.

* support text encoder lora fusion.

* tighten up tests.

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

* T2I-Adapter-XL

* update

* update

* add pipeline

* modify pipeline

* modify pipeline

* modify pipeline

* modify pipeline

* modify pipeline

* modify modeling_text_unet

* fix styling.

* fix: copies.

* adapter settings

* new test case

* new test case

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* revert prints.

* new test case

* remove print

* org test case

* add test_pipeline

* styling.

* fix copies.

* modify test parameter

* style.

* add adapter-xl doc

* double quotes in docs

* Fix potential type mismatch

* style.

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

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

* fix

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

* fix



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

* initial commit to fix inheritance issue

* clean up sd onnx upscale

* clean up

* [LoRA Attn] Refactor LoRA attn

* correct for network alphas

* fix more

* fix more tests

* fix more tests

* Move below

* Finish

* better version

* correct serialization format

* fix

* fix more

* fix more

* fix more

* Apply suggestions from code review

* Update src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py

* deprecation

* relax atol for slow test slighly

* Finish tests

* make style

* make style

* Fix last ben sdxl lora

* Correct typo

* make style

* 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.

* refactor image processor for mask
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Co-authored-by: yiyixuxu <yixu310@gmail,com>

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

* proposal for flaky tests

* clean up

* from audioldm

* fix vae

* move to new pipeline

* copied from audioldm

* remove redundant control flow

* iterate

* fix docstring

* finish pipeline

* tests: from audioldm2

* iterate

* finish fast tests

* finish slow integration tests

* add docs

* remove dtype test

* update toctree

* "copied from" in conversion (where possible)

* Update docs/source/en/api/pipelines/musicldm.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix docstring

* make nightly

* style

* fix dtype test

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

* fix docs

* fix unet docs

* use image output for latents

* fix hub checkpoints

* fix pipeline example

* update example

* return_dict = False

* revert image pipeline output

* revert doc changes

* remove dtype test

* make style

* remove docstring updates

* remove unet docstring update

* Empty commit to re-trigger CI

* fix cpu offload

* fix dtype test

* add offload test

* [fix] multi t2i adapter set total_downscale_factor

* move image checks into check inputs

* remove copied from

use max diff to compare model outputs

add self.step_index

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

* Fix AutoencoderTiny encoder scaling convention

  * Add [-1, 1] -> [0, 1] rescaling to EncoderTiny

  * Move [0, 1] -> [-1, 1] rescaling from AutoencoderTiny.decode to DecoderTiny
    (i.e. immediately after the final conv, as early as possible)

  * Fix missing [0, 255] -> [0, 1] rescaling in AutoencoderTiny.forward

  * Update AutoencoderTinyIntegrationTests to protect against scaling issues.
    The new test constructs a simple image, round-trips it through AutoencoderTiny,
    and confirms the decoded result is approximately equal to the source image.
    This test checks behavior with and without tiling enabled.
    This test will fail if new AutoencoderTiny scaling issues are introduced.

  * Context: Raw TAESD weights expect images in [0, 1], but diffusers'
    convention represents images with zero-centered values in [-1, 1],
    so AutoencoderTiny needs to scale / unscale images at the start of
    encoding and at the end of decoding in order to work with diffusers.

* Re-add existing AutoencoderTiny test, update golden values

* Add comments to AutoencoderTiny.forward

This reverts commit 7b07f981.

* enable lora for sdxl controlnets too.

* add: tests

* fix: assertion values.

* from audioldm

* unet down + mid

* vae, clap, flan-t5

* start sequence audio mae

* iterate on audioldm encoder

* finish encoder

* finish weight conversion

* text pre-processing

* gpt2 pre-processing

* fix projection model

* working

* unet equivalence

* finish in base

* add unet cond

* finish unet

* finish custom unet

* start clean-up

* revert base unet changes

* refactor pre-processing

* tests: from audioldm

* fix some tests

* more fixes

* iterate on tests

* make fix copies

* harden fast tests

* slow integration tests

* finish tests

* update checkpoint

* update copyright

* docs

* remove outdated method

* add docstring

* make style

* remove decode latents

* enable cpu offload

* (text_encoder_1, tokenizer_1) -> (text_encoder, tokenizer)

* more clean up

* more refactor

* build pr docs

* Update docs/source/en/api/pipelines/audioldm2.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* small clean

* tidy conversion

* update for large checkpoint

* generate -> generate_language_model

* full clap model

* shrink clap-audio in tests

* fix large integration test

* fix fast tests

* use generation config

* make style

* update docs

* finish docs

* finish doc

* update tests

* fix last test

* syntax

* finalise tests

* refactor projection model in prep for TTS

* fix fast tests

* style

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

* Impl tae slicing and tiling

* add tae tiling test

* add parameterized test

* formatted code

* fix failed test

* style docs

Fix `use_onnx` parameter usage in `from_pretrained` func and update `test_download_no_onnx_by_default` test (#4508)

* add missing use_onnx in from_pretrained func

* fix test_download_no_onnx_by_default test func

* address comments

* split test cases

* 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

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

* Support higher dimension LoRAs

* add: tests

* fix: assertion values.

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

* fixed

* add: tests

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

* core: add multicontrolnet support to sdxl controlnet

* modify checks.

* fix: original_size determination

* add: tests for multi controlnet sdxl.

* remove unnecessary prints.

* Fix unipc karras sigmas exception - fixes huggingface/diffusers#4580

* Add unipc scheduler tests for karras sigmas

* Add GLIGEN implementation

* GLIGEN: Fix code quality check failures

* GLIGEN: Fix Import block un-sorted or un-formatted failures

* GLIGEN: Fix check_repository_consistency failures

* GLIGEN: Add 'PositionNet' to versatile_diffusion/modeling_text_unet.py

* GLIGEN: check_repository_consistency: fix 'copy does not match' error

* GLIGEN: Fix review comments (1)

* GLIGEN: Fix E721 Do not compare types, use `isinstance()` failures

* GLIGEN : Ensure _encode_prompt() copy matches to StableDiffusionPipeline

* GLIGEN: Fix ruff E721 failure in unidiffuser/test_unidiffuser.py

* GLIGEN: doc_builder: restyle pipeline_stable_diffusion_gligen.py

* GIGLEN: reset files unrelated to gligen

* GLIGEN: Fix documentation comments (1)

* GLIGEN: Fix review comments (2)

* GLIGEN: Added FastTest

* GLIGEN: Fix review comments (3)

[Pipeline utils] feat: implement push_to_hub for standalone models, schedulers as well as pipelines (#4128)

* feat: implement push_to_hub for standalone models.

* address PR feedback.

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

* remove max_shard_size.

* add: support for scheduler push_to_hub

* enable push_to_hub support for flax schedulers.

* enable push_to_hub for pipelines.

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* reflect pr feedback.

* address another round of deedback.

* better handling of kwargs.

* add: tests

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* setting hub staging to False for now.

* incorporate staging test as a separate job.
Co-authored-by: ydshieh <2521628+ydshieh@users.noreply.github.com>

* fix: tokenizer loading.

* fix: json dumping.

* move is_staging_test to a better location.

* better treatment to tokens.

* define repo_id to better handle concurrency

* style

* explicitly set token

* Empty-Commit

* move SUER, TOKEN to test

* collate org_repo_id

* delete repo

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: ydshieh <2521628+ydshieh@users.noreply.github.com>

* [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>

move controlnet load local tests to nihghtly

* clean scheduler mixin

* up to dpmsolvermultistep

* finish cleaning

* first draft

* fix overview table

* apply feedback

* update reference code

* move slow pix2pixzero tests to nightly

* move slow panorama tests to nightly

* move txt2video full test to nightly

* clean up

* remove nightly test from text to video pipeline

* move audioldm tests to nightly

* move kandinsky im2img ddpm test to nightly

* move flax dpm test to nightly

* move diffedit dpm test to nightly

* move fp16 slow tests to nightly

* correct

* correct blocks

* finish

* finish

* finish

* Apply suggestions from code review

* fix

* up

* up

* up

* Update examples/dreambooth/README_sdxl.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Apply suggestions from code review

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