GitLab

* 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>

* throw warning when more than one lora is attempted to be fused.

* introduce support of lora scale during fusion.

* change test name

* changes

* change to _lora_scale

* lora_scale to call whenever applicable.

* debugging

* lora_scale additional.

* cross_attention_kwargs

* lora_scale -> scale.

* lora_scale fix

* lora_scale in patched projection.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* styling.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* remove unneeded prints.

* remove unneeded prints.

* assign cross_attention_kwargs.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* clean up.

* refactor scale retrieval logic a bit.

* fix nonetypw

* fix: tests

* add more tests

* more fixes.

* figure out a way to pass lora_scale.

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

* unify the retrieval logic of lora_scale.

* move adjust_lora_scale_text_encoder to lora.py.

* introduce dynamic adjustment lora scale support to sd

* fix up copies

* Empty-Commit

* add: test to check fusion equivalence on different scales.

* handle lora fusion warning.

* make lora smaller

* make lora smaller

* make lora smaller

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

* add

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* first draft

* finish first draft

* feedback and remove sections from API pages

* clean docstrings

* add full code example

* Remove warn with deprecate

* Fix typo with 1.0,0

* 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.

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

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

Fix typerror in pipeline handling for MultiControlNets which only contain a single ControlNet (#4454)

* Handle single controlnet in multicontrolnet

* Fix formatting

* can call encode_prompt with out setting a text encoder instance variable

* fix

* 0.20.0dev0

* make style

* start with stable diffusion

* fix

* finish stable diffusion pipelines

* fix path to pipeline output

* fix flax paths

* fix copies

* add up to score sde ve

* finish first pass of pipelines

* fix copies

* second review

* align doc titles

* more review fixes

* final review

* 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>

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

* create general cpu offload & execution device

* Remove boiler plate

* finish

* kp

* Correct offload more pipelines

* up

* Update src/diffusers/pipelines/pipeline_utils.py

* make style

* up

* 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

* Correct timestep inpaint

* make style

* Fix

* Apply suggestions from code review

* make style

* Add draft for lora text encoder scale

* Improve naming

* fix: training dreambooth lora script.

* Apply suggestions from code review

* Update examples/dreambooth/train_dreambooth_lora.py

* Apply suggestions from code review

* Apply suggestions from code review

* add lora mixin when fit

* add lora mixin when fit

* add lora mixin when fit

* fix more

* fix more

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

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 latents

* fix copies

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* Throw error if strength adjusted num_inference_steps < 1

* Added new fast test to check ValueError raised when num_inference_steps < 1

when strength adjusts the num_inference_steps then the inpainting pipeline should fail

* fix #3487 initial latents are now only scaled by init_noise_sigma when pure noise

updated this commit w.r.t the latest merge here: https://github.com/huggingface/diffusers/pull/3533



* fix

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

* Added explanation of 'strength' parameter

* Added get_timesteps function which relies on new strength parameter

* Added `strength` parameter which defaults to 1.

* Swapped ordering so `noise_timestep` can be calculated before masking the image

this is required when you aren't applying 100% noise to the masked region, e.g. strength < 1.

* Added strength to check_inputs, throws error if out of range

* Changed `prepare_latents` to initialise latents w.r.t strength

inspired from the stable diffusion img2img pipeline, init latents are initialised by converting the init image into a VAE latent and adding noise (based upon the strength parameter passed in), e.g. random when strength = 1, or the init image at strength = 0.

* WIP: Added a unit test for the new strength parameter in the StableDiffusionInpaintingPipeline

still need to add correct regression values

* Created a is_strength_max to initialise from pure random noise

* Updated unit tests w.r.t new strength parameter + fixed new strength unit test

* renamed parameter to avoid confusion with variable of same name

* Updated regression values for new strength test - now passes

* removed 'copied from' comment as this method is now different and divergent from the cpy

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

* Ensure backwards compatibility for prepare_mask_and_masked_image

created a return_image boolean and initialised to false

* Ensure backwards compatibility for prepare_latents

* Fixed copy check typo

* Fixes w.r.t backward compibility changes

* make style

* keep function argument ordering same for backwards compatibility in callees with copied from statements

* make fix-copies

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

* 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

* add inferring_controlnet_cond_batch

* Revert "add inferring_controlnet_cond_batch"

This reverts commit abe8d6311d4b7f5b9409ca709c7fabf80d06c1a9.

* set guess_mode to True
whenever global_pool_conditions is True
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* nit

* add integration test

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

* add text2img

* fix-copies

* add

* add all other pipelines

* add

* add

* add

* add

* add

* make style

* style + fix copies

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* test: Added test case

* fix: fixed type checking issue on _encode_prompt

* fix: fixed copies consistency

* fix: one copy was not sufficient

* Fix more torch compile breaks

* add tests

* Fix all

* fix controlnet

* fix more

* Add Horace He as co-author.
>
>
Co-authored-by: Horace He <horacehe2007@yahoo.com>

* Add Horace He as co-author.
Co-authored-by: Horace He <horacehe2007@yahoo.com>

---------
Co-authored-by: Horace He <horacehe2007@yahoo.com>

* fix more

* Fix more

* fix more

* Apply suggestions from code review

* fix

* make style

* make fix-copies

* fix

* make sure torch compile

* Clean

* fix test

adding enable_vae_tiling and disable_val_tiling functions

* add mixin class for pipeline from original sd ckpt

* Improve

* make style

* merge main into

* Improve more

* fix more

* up

* Apply suggestions from code review

* finish docs

* rename

* make style

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

fix breaking change

* add guess mode (WIP)

* fix uncond/cond order

* support guidance_scale=1.0 and batch != 1

* remove magic coeff

* add docstring

* add intergration test

* add document to controlnet.mdx

* made the comments a bit more explanatory

* fix table

* [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

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add case for parsing embedding from auto1111 UI format
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>

* fix style after rebase

* move textual inversion mixin to loaders

* move mixin inheritance to DiffusionPipeline from StableDiffusionPipeline)

* update dummy class name

* addressed allo comments

* fix old dangling import

* fix style

* proposal

* remove bogus

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

* finish

* make style

* up

* fix code quality

* fix code quality - again

* fix code quality - 3

* fix alt diffusion code quality

* fix model editing pipeline

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

* Finish

---------
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Remove duplicate sentence

* format