GitLab

* remove attn_processors property

* more

* up

* up more.

* up

* add AttentionMixin to AuraFlow.

* up

* up

* up

* up

update

* Use HF Papers

* Apply style fixes

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* update

* remove unused fn

* apply suggestions based on review

* update + cleanup 🧹

* more cleanup 🧹

* make fix-copies

* update test

* bugfix for npu not support float64

* is_mps is_npu

---------
Co-authored-by: 白超 <baichao19@huawei.com>
Co-authored-by: hlky <hlky@hlky.ac>

* move vae flax module.

* controlnet module.

* prepare for PR.

* revert a commit

* gracefully deprecate controlnet deps.

* fix

* fix doc path

* fix-copies

* fix path

* style

* style

* conflicts

* fix

* fix-copies

* sparsectrl.

* updates

* fix

* updates

* updates

* updates

* fix

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

* initial sparse control model draft

* remove unnecessary implementation

* copy animatediff pipeline

* remove deprecated callbacks

* update

* update pipeline implementation progress

* make style

* make fix-copies

* update progress

* add partially working pipeline

* remove debug prints

* add model docs

* dummy objects

* improve motion lora conversion script

* fix bugs

* update docstrings

* remove unnecessary model params; docs

* address review comment

* add copied from to zero_module

* copy animatediff test

* add fast tests

* update docs

* update

* update pipeline docs

* fix expected slice values

* fix license

* remove get_down_block usage

* remove temporal_double_self_attention from get_down_block

* update

* update docs with org and documentation images

* make from_unet work in sparsecontrolnetmodel

* add latest freeinit test from #8969

* make fix-copies

* LoraLoaderMixin -> StableDiffsuionLoraLoaderMixin

* Fix typos & improve contributing page

* `make style && make quality`

* fix typos

* Fix typo

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

* get rid of the legacy lora remnants and make our codebase lighter

* fix depcrecated lora argument

* fix

* empty commit to trigger ci

* remove print

* empty

* find & replace all FloatTensors to Tensor

* apply formatting

* Update torch.FloatTensor to torch.Tensor in the remaining files

* formatting

* Fix the rest of the places where FloatTensor is used as well as in documentation

* formatting

* Update new file from FloatTensor to Tensor

* refactor unet single file loading a bit.

* retrieve the unet from create_diffusers_unet_model_from_ldm

* update

* update

* updae

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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* update

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* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* tests

* update

* update

* update

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

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* Update docs/source/en/api/loaders/single_file.md
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

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

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

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

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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* update

* update

* update

* update

* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

---------
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Fix ControlNetModel.from_unet do not load add_embedding

* delete white space in blank line

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

* Fix PyTorch's convention for inplace functions

* Fix import structure in __init__.py and update config loading logic in test_config.py

* Update configuration access

* Fix typos

* Trim trailing white spaces

* Fix typo in logger name

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d.

* Fix typo in step_index property description

* Revert "Update configuration access"

This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8.

* Revert "Fix import structure in __init__.py and update config loading logic in test_config.py"

This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171.

* Fix typos

* Fix typos

* Fix typos

* Fix a typo: tranform -> transform

change to 2024

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update'

* update

* update

* update

* update

* update

* update

* up

* update

* update

* update

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* update

* update

* update

* update

* update

* update

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* update

* up

* update

* update

* update

* update

* update'

* update

* update

* update

* update

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* update

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* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* clean

* update

* update

* clean up

* clean up

* update

* clean

* clean

* update

* updaet

* clean up

* fix docs

* update

* update

* Revert "update"

This reverts commit dbfb8f1ea9c61a2b4e02f926245be2b3d387e577.

* update

* update

* update

* update

* fix controlnet

* fix scheduler

* fix controlnet tests

* move unets to  module 🦋

* parameterize unet-level import.

* fix flax unet2dcondition model import

* models __init__

* mildly depcrecating models.unet_2d_blocks in favor of models.unets.unet_2d_blocks.

* noqa

* correct depcrecation behaviour

* inherit from the actual classes.

* Empty-Commit

* backwards compatibility for unet_2d.py

* backward compatibility for unet_2d_condition

* bc for unet_1d

* bc for unet_1d_blocks

* handle rest of the stuff related to deprecated lora stuff.

* fix: copies

* don't modify the uNet in-place.

* fix: temporal autoencoder.

* manually remove lora layers.

* don't copy unet.

* alright

* remove lora attn processors from unet3d

* fix: unet3d.

* styl

* Empty-Commit

* Add SSD-1B support for controlnet model

* Add conditioning_channels into ControlNet init from unet

* Fix black formatting

* Isort fixes

* Adds SSD-1B controlnet pipeline test with UNetMidBlock2D as mid block

* Overrides failing ssd-1b tests

* Fixes tests after main branch update

* Fixes code quality checks

---------
Co-authored-by: Marko Kostiv <marko@linearity.io>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* improvement: docs and type hints

* improvement: docs and type hints

minor refactor

* improvement: docs and type hints

* update with suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

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

* fix: controlnet graph?

* fix: sample

* fix:

* remove print

* styling

* fix-copies

* prevent more graph breaks?

* prevent more graph breaks?

* see?

* revert.

* compilation.

* rpopagate changes to controlnet sdxl pipeline too.

* add: clean version checking.

* add missing docstrings

* chore: run make quality

* improvement: include docs suggestion by @yiyixuxu

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

* fix xformers lora

* improve

* fix

* proposal for flaky tests

* more precision fixes

* move more tests to use cosine distance

* more test fixes

* clean up

* use default attn

* clean up

* update expected value

* make style

* make style

* Apply suggestions from code review

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

* make style

* fix failing tests

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

* [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 torch compile for controlnete

* fix: #4206

* add: sdxl controlnet training smoketest.

* remove unnecessary token inits.

* add: licensing to model card.

* include SDXL licensing in the model card and make public visibility default

* debugging

* debugging

* disable local file download.

* fix: training test.

* fix: ckpt prefix.

* 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>

* add modelmixin and unets

* remove old model page

* minor fixes

* fix unet2dcondition

* add vqmodel and autoencoderkl

* add rest of models

* fix autoencoderkl path

* fix toctree

* fix toctree again

* apply feedback

* apply feedback

* fix copies

* fix controlnet copy

* fix copies

* relax tolerance slightly

* correct incorrect naming

* correct namingc

* correct more

* Apply suggestions from code review

* Fix more

* Correct more

* correct incorrect naming

* Update src/diffusers/models/controlnet.py

* Correct flax

* Correct renaming

* Correct blocks

* Fix more

* Correct more

* mkae style

* mkae style

* mkae style

* mkae style

* mkae style

* Fix flax

* mkae style

* rename

* rename

* rename attn head dim to attention_head_dim

* correct flax

* make style

* improve

* Correct more

* make style

* fix more

* mkae style

* Update src/diffusers/models/controlnet_flax.py

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

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

support ControlNet models with a different hint_channels value (e.g. TemporalNet2)

* 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>

* 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>

* 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

* Helper function to disable custom attention processors.

* Restore code deleted by mistake.

* Format

* Fix modeling_text_unet copy.

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

* rename file

* rename attention

* fix more

* rename more

* up

* more deprecation imports

* fixes

* Controlnet training code initial commit

Works with circle dataset: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md



* Script for adding a controlnet to existing model

* Fix control image transform

Control image should be in 0..1 range.

* Add license header and remove more unused configs

* controlnet training readme

* Allow nonlocal model in add_controlnet.py

* Formatting

* Remove unused code

* Code quality

* Initialize controlnet in training script

* Formatting

* Address review comments

* doc style

* explicit constructor args and submodule names

* hub dataset

NOTE -  not tested

* empty prompts

* add conditioning image

* rename

* remove instance data dir

* image_transforms -> -1,1 . conditioning_image_transformers -> 0, 1

* nits

* remove local rank config

I think this isn't necessary in any of our training scripts

* validation images

* proportion_empty_prompts typo

* weight copying to controlnet bug

* call log validation fix

* fix

* gitignore wandb

* fix progress bar and resume from checkpoint iteration

* initial step fix

* log multiple images

* fix

* fixes

* tracker project name configurable

* misc

* add controlnet requirements.txt

* update docs

* image labels

* small fixes

* log validation using existing models for pipeline

* fix for deepspeed saving

* memory usage docs

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

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

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

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

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

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

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

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

* remove extra is main process check

* link to dataset in intro paragraph

* remove unnecessary paragraph

* note on deepspeed

* Update examples/controlnet/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* assert -> value error

* weights and biases note

* move images out of git

* remove .gitignore

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

* support for List[ControlNetModel] on init()

* Add to support for multiple ControlNetCondition

* rename conditioning_scale to scale

* scaling bugfix

* Manually merge `MultiControlNet` #2621
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

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

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

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

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

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

* cleanups
- don't expose ControlNetCondition
- move scaling to ControlNetModel

* make style error correct

* remove ControlNetCondition to reduce code diff

* refactoring image/cond_scale

* add explain for `images`

* Add docstrings

* all fast-test passed

* Add a slow test

* nit

* Apply suggestions from code review

* small precision fix

* nits

MultiControlNet -> MultiControlNetModel - Matches existing naming a bit
closer

MultiControlNetModel inherit from model utils class - Don't have to
re-write fp16 test

Skip tests that save multi controlnet pipeline - Clearer than changing
test body

Don't auto-batch the number of input images to the number of controlnets.
We generally like to require the user to pass the expected number of
inputs. This simplifies the processing code a bit more

Use existing image pre-processing code a bit more. We can rely on the
existing image pre-processing code and keep the inference loop a bit
simpler.

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