GitLab

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

Fix dummy community pipeline

* img2img.multiple.controlnets.pipeline

* remove comments

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Co-authored-by: mishka <gartsocial@gmail.com>

* Remove duplicate sentence

* format

* Apply same ruff settings as in transformers

See https://github.com/huggingface/transformers/blob/main/pyproject.toml

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Apply new style rules

* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* style

* remove list, ruff wouldn't auto fix.

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Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

[2737]: Add DPMSolverMultistepScheduler to CLIP guided community pipelines
Co-authored-by: njindal <njindal@adobe.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.

* [MS Text To Video} Add first text to video

* upload

* make first model example

* match unet3d params

* make sure weights are correcctly converted

* improve

* forward pass works, but diff result

* make forward work

* fix more

* finish

* refactor video output class.

* feat: add support for a video export utility.

* fix: opencv availability check.

* run make fix-copies.

* add: docs for the model components.

* add: standalone pipeline doc.

* edit docstring of the pipeline.

* add: right path to TransformerTempModel

* add: first set of tests.

* complete fast tests for text to video.

* fix bug

* up

* three fast tests failing.

* add: note on slow tests

* make work with all schedulers

* apply styling.

* add slow tests

* change file name

* update

* more correction

* more fixes

* finish

* up

* Apply suggestions from code review

* up

* finish

* make copies

* fix pipeline tests

* fix more tests

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

* apply suggestions

* up

* revert

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Add guidance start/end parameters to community controlnet img2img pipeline

* Fix formats

* [Img2Img]: Copyover img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

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Co-authored-by: njindal <njindal@adobe.com>

* rename file

* rename attention

* fix more

* rename more

* up

* more deprecation imports

* fixes

* add DDIM Noise Comparative Analysis pipeline

* update README

* add comments

* run BLACK format

Co-authored-by: mishka <gartsocial@gmail.com>

* community controlnet inpainting pipelines

* add community member attribution re: @pcuenca

* unclip img interpolation poc

* Added code sample and refactoring.

correctly locate 3rd file; also correct misleading docs

replace type hints

* UnCLIP Text Interpolation Pipeline

* Formatter fixes

* Changes based on feedback

* Formatting fix

* Formatting fix

* isort formatting fix(?)

* Remove duplicate code

* Formatting fix

* Refactor __call__ and change example in readme.

* Update examples/community/unclip_text_interpolation.py

Refactor to linter formatting
Co-authored-by: Will Berman <wlbberman@gmail.com>

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Co-authored-by: Will Berman <wlbberman@gmail.com>

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

* make scaling factor cnfig arg of vae

* fix

* make flake happy

* fix ldm

* fix upscaler

* qualirty

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

* solve conflicts, addres some comments

* examples

* examples min version

* doc

* fix type

* typo

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

* remove duplicate line

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

* [Bump version] 0.13

* Bump model up

* up

* allow a local model directory to be used for merging

* moved checkpoint merge bugfix into main for testing

* possibly fix local variable "config_dict" referenced before assignment

* fix deprecation warning

* debugging...

* debugging

* allow safetensors

* safetensors try again

* fix syntax error

* further debugging

* fix logic error when checkpoint 2 is none

* more debugging...

* more debuging...

* more debugging...

* more debugging...

* debugging

* clean up status reporting

* skip the requires_safety_checker boolean

* moved checkpoint merge bugfix into main for testing

* possibly fix local variable "config_dict" referenced before assignment

* fix deprecation warning

* allow safetensors

* fix logic error when checkpoint 2 is none

* clean up status reporting

* undo hack to use private repo for community pipelines

* allow a local model directory to be used for merging

* allow safetensors

* clean up status reporting

* reformatted with black

* sort imported modules correctly

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

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

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

* fix import style error
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add community pipeline: StableUnCLIPPipeline

* reformt stable_unclip.py with isort and black

no more autocast

* [Community] Fix merger

* finish

TypeError: Size should be int or sequence. Got <class 'dict'>

changed named arg to self.tokenizer from `truncaton` to `truncation` according to Tokenizer docs (https://huggingface.co/docs/tokenizers/api/tokenizer#tokenizers.Tokenizer.truncation)

* added first version of the tiled upscaling pipeline

* reformatted to pass code quality tests

* move files a bit

* more refactors

* fix more

* more fixes

* fix more onnx

* make style

* upload

* fix

* up

* fix more

* up again

* up

* small fix

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

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

* initial

* type hints

* update scheduler type hint

* add to README

* add example generation to README

* v -> mix_factor

* load scheduler from pretrained

* update composable diffusion for an updated diffuser library

* fix style/quality for code

* Revert "fix style/quality for code"

This reverts commit 71f23497639fe69de00d93cf91edc31b08dcd7a4.

* update style

* reduce memory usage by computing score sequentially

Change the one-step dummy pipeline for testing