GitLab

* 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.

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

* allow negative micro conds in t2i pipeline

* Empty-Commit

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

add adapter_conditioning_factor

* initial evident fixes.

* instructpix2pix fixes.

* add: entry to doc.

* address PR feedback.

* make fix-copies

* initial

* initial

* added initial convert script for paella vqmodel

* initial wuerstchen pipeline

* add LayerNorm2d

* added modules

* fix typo

* use model_v2

* embed clip caption amd negative_caption

* fixed name of var

* initial modules in one place

* WuerstchenPriorPipeline

* inital shape

* initial denoising prior loop

* fix output

* add WuerstchenPriorPipeline to __init__.py

* use the noise ratio in the Prior

* try to save pipeline

* save_pretrained working

* Few additions

* add _execution_device

* shape is int

* fix batch size

* fix shape of ratio

* fix shape of ratio

* fix output dataclass

* tests folder

* fix formatting

* fix float16 + started with generator

* Update pipeline_wuerstchen.py

* removed vqgan code

* add WuerstchenGeneratorPipeline

* fix WuerstchenGeneratorPipeline

* fix docstrings

* fix imports

* convert generator pipeline

* fix convert

* Work on Generator Pipeline. WIP

* Pipeline works with our diffuzz code

* apply scale factor

* removed vqgan.py

* use cosine schedule

* redo the denoising loop

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

* use torch.lerp

* use warp-diffusion org

* clip_sample=False,

* some refactoring

* use model_v3_stage_c

* c_cond size

* use clip-bigG

* allow stage b clip to be None

* add dummy

* würstchen scheduler

* minor changes

* set clip=None in the pipeline

* fix attention mask

* add attention_masks to text_encoder

* make fix-copies

* add back clip

* add text_encoder

* gen_text_encoder and tokenizer

* fix import

* updated pipeline test

* undo changes to pipeline test

* nip

* fix typo

* fix output name

* set guidance_scale=0 and remove diffuze

* fix doc strings

* make style

* nip

* removed unused

* initial docs

* rename

* toc

* cleanup

* remvoe test script

* fix-copies

* fix multi images

* remove dup

* remove unused modules

* undo changes for debugging

* no  new line

* remove dup conversion script

* fix doc string

* cleanup

* pass default args

* dup permute

* fix some tests

* fix prepare_latents

* move Prior class to modules

* offload only the text encoder and vqgan

* fix resolution calculation for prior

* nip

* removed testing script

* fix shape

* fix argument to set_timesteps

* do not change .gitignore

* fix resolution calculations + readme

* resolution calculation fix + readme

* small fixes

* Add combined pipeline

* rename generator -> decoder

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

* removed efficient_net

* create combined WuerstchenPipeline

* make arguments consistent with VQ model

* fix var names

* no need to return text_encoder_hidden_states

* add latent_dim_scale to config

* split model into its own file

* add WuerschenPipeline to docs

* remove unused latent_size

* register latent_dim_scale

* update script

* update docstring

* use Attention preprocessor

* concat with normed input

* fix-copies

* add docs

* fix test

* fix style

* add to cpu_offloaded_model

* updated type

* remove 1-line func

* updated type

* initial decoder test

* formatting

* formatting

* fix autodoc link

* num_inference_steps is int

* remove comments

* fix example in docs

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

* rename layernorm to WuerstchenLayerNorm

* rename DiffNext to WuerstchenDiffNeXt

* added comment about MixingResidualBlock

* move paella vq-vae to pipelines' folder

* initial decoder test

* increased test_float16_inference expected diff

* self_attn is always true

* more passing decoder tests

* batch image_embeds

* fix failing tests

* set the correct dtype

* relax inference test

* update prior

* added combined pipeline test

* faster test

* faster test

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

* fix issues from review

* update wuerstchen.md + change generator name

* resolve issues

* fix copied from usage and add back batch_size

* fix API

* fix arguments

* fix combined test

* Added timesteps argument + fixes

* Update tests/pipelines/test_pipelines_common.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/pipelines/wuerstchen/test_wuerstchen_prior.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

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

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

* Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py

* up

* Fix more

* failing tests

* up

* up

* correct naming

* correct docs

* correct docs

* fix test params

* correct docs

* fix classifier free guidance

* fix classifier free guidance

* fix more

* fix all

* make tests faster

---------
Co-authored-by: Dominic Rampas <d6582533@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Dominic Rampas <61938694+dome272@users.noreply.github.com>

Fix typo by replacing init_image_arr and repainted_image_arr with init_image and repainted_image, respectively.

* [Textual inversion] Relax loading textual inversion

* up

* add doc entry to explain lora fusion and use of different scales.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add size warning

* feedback

* remove latent input

* fix test

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

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

* [Test] Reduce CPU memory

* [Test] Reduce CPU memory

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

* style

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

* better support offloading when side loading is enabled.

* load_textual_inversion

* better messaging for textual inversion.

* fixes

* address PR feedback.

* sdxl support.

* improve messaging

* recursive removal when cpu sequential offloading is enabled.

* add: lora tests

* recruse.

* add: offload tests for textual inversion.

* Add dropout param to get_down_block/get_up_block and UNet2DModel/UNet2DConditionModel.

* Add dropout param to Versatile Diffusion modeling, which has a copy of UNet2DConditionModel and its own get_down_block/get_up_block functions.

* 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>

* fix

* add test

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

* Change StableDiffusionInpaintPipelineFastTests.get_dummy_inputs to produce a random image and a white mask_image.

* Add dummy expected slices for the test_stable_diffusion_inpaint tests.

* Remove print statement

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

run make fix-copies and make style

* 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

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

* [Tests] Add combined pipeline tests

* Update tests/pipelines/kandinsky_v22/test_kandinsky.py

* [ControlNet SDXL Inpainting] Support inpainting of ControlNet SDXL

Co-authored-by: Jiabin Bai 1355864570@qq.com


---------
Co-authored-by: Harutatsu Akiyama <kf.zy.qin@gmail.com>

* first draft

* fixes

* more fixes

* fix toctree

* first draft

* minor edits

* add

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

add 

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

* Docs kr update 3

controlnet, reproducibility 업로드

generator 그대로 사용
seamless multi-GPU 그대로 사용

create_dataset 번역 1차

stable_diffusion_jax

new translation

Add coreml, tome

kr docs minor fix

translate training/instructpix2pix

fix training/instructpix2pix.mdx

using-diffusers/weighting_prompts 번역 1차

add SDXL docs

Translate using-diffuers/loading_overview.md

translate using-diffusers/textual_inversion_inference.md

Conditional image generation (#37)

* stable_diffusion_jax

* index_update

* index_update

* condition_image_generation

---------
Co-authored-by: Seongsu Park <tjdtnsu@gmail.com>

jihwan/stable_diffusion.mdx

custom_diffusion 작업 완료

quicktour 작업 완료

distributed inference & control brightness (#40)

* distributed_inference.mdx

* control_brightness

---------
Co-authored-by: idra79haza <idra79haza@github.com>
Co-authored-by: Seongsu Park <tjdtnsu@gmail.com>

using_safetensors (#41)

* distributed_inference.mdx

* control_brightness

* using_safetensors.mdx

---------
Co-authored-by: idra79haza <idra79haza@github.com>
Co-authored-by: Seongsu Park <tjdtnsu@gmail.com>

delete safetensor short

* Repace mdx to md

* toctree update

* Add controlling_generation

* toctree fix

* colab link, minor fix

* docs name typo fix

* frontmatter fix

* translation fix

* Fix link from API to using-diffusers

* Fix link

* 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>

* Add GLIGEN Text Image implementation

* add style transfer from image

* fix check_repository_consistency

* add convert script GLIGEN model to Diffusers

* rename attention type

* fix style code

* remove PositionNetTextImage

* Revert "fix check_repository_consistency"

This reverts commit 15f098c96e00bb9e67b831161615b30a2d28d815.

* change attention type name

* update docs for GLIGEN

* change examples with hf-document-image

* fix style

* add CLIPImageProjection for GLIGEN

* Add new encode_prompt, load project matrix in pipe init

* move CLIPImageProjection to stable_diffusion

* add comment

* Initial code to add force_unmasked_unchanged argument to StableDiffusionInpaintPipeline.__call__.

* Try to improve StableDiffusionInpaintPipelineFastTests.get_dummy_inputs.

* Use original mask to preserve unmasked pixels in pixel space rather than latent space.

* make style

* start working on note in docs to force unmasked area to be unchanged

* Add example of forcing the unmasked area to remain unchanged.

* Revert "make style"

This reverts commit fa7759293af916c665f683387a52fd789ed10531.

* Revert "Use original mask to preserve unmasked pixels in pixel space rather than latent space."

This reverts commit 092bd0e9e9628f02ff917aafb2a5c9252776b6e9.

* Revert "Try to improve StableDiffusionInpaintPipelineFastTests.get_dummy_inputs."

This reverts commit ff41cf43c5a820057289e0852fb41b3e2074d86d.

* Revert "Initial code to add force_unmasked_unchanged argument to StableDiffusionInpaintPipeline.__call__."

This reverts commit 989979752a1c9e6e16e92d8f1b3d14b70829fbb5.

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

fix inpaint test
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

fix width for np array inputs

* Fix potential type conversion errors in SDXL pipelines

* make sure vae stays in fp16

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

* improve the LoRA doc.

* include fuse_lora and unfuse_lora

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* first draft

* reorg toctree

* note about minsdxl

* feedback

* fix

* micro-conditionings

* add tip

* fix section levels

* d'oh fix pipeline names

* feedback

* remove old section