GitLab

fix: StableDiffusionXLImg2ImgPipeline creation in sdxl tutorial

add mask making section

Update adapter.md to fix links to adapter pipelines

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

tiny fixes

* start

* finish draft

* add section

* edits

* feedback

* make fix-copies

* rebase

* add: entry for DDPO support.

* move to training

* address steven's comments./

* ✨ Added Fourier filter function to upsample blocks

* 🔧 Update Fourier_filter for float16 support

* ✨ Added UNetFreeUConfig to UNet model for FreeU adaptation 🛠

️

* move unet to its original form and add fourier_filter to torch_utils.

* implement freeU enable mechanism

* implement disable mechanism

* resolution index.

* correct resolution idx condition.

* fix copies.

* no need to use resolution_idx in vae.

* spell out the kwargs

* proper config property

* fix attribution setting

* place unet hasattr properly.

* fix: attribute access.

* proper disable

* remove validation method.

* debug

* debug

* debug

* debug

* debug

* debug

* potential fix.

* add: doc.

* fix copies

* add: tests.

* add: support freeU in SDXL.

* set default value of resolution idx.

* set default values for resolution_idx.

* fix copies

* fix rest.

* fix copies

* address PR comments.

* run fix-copies

* move apply_free_u to utils and other minors.

* introduce support for video (unet3D)

* minor ups

* consistent fix-copies.

* consistent stuff

* fix-copies

* add: rest

* add: docs.

* fix: tests

* fix: doc path

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

* style up

* move to techniques.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for sd freeu.

* add: slow test for video with freeu

* add: slow test for video with freeu

* add: slow test for video with freeu

* style

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update _toctree.yml

* Add files via upload

* Update docs/source/zh/stable_diffusion.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

Fix indent issue

[Docs] Improve

* first draft

* edits

* feedback

* try to fix docs

* try to fix docs

* [Doc builder] Ensure slow import for doc builder

* Apply suggestions from code review

* env for doc builder

* fix more

* [Diffusers] Set import to slow as env variable

* fix docs

* fix docs

* Apply suggestions from code review

* Apply suggestions from code review

* fix docs

* fix docs

* finish first draft

* feedback

* feedback

* Add BLIP Diffusion skeleton

* Add other model components

* Add BLIP2, need to change it for now

* Fix pipeline imports

* Load pretrained ViT

* Make qformer fwd pass same

* Replicate fwd passes

* Fix device bug

* Add accelerate functions

* Remove extra functions from Blip2

* Minor bug

* Integrate initial review changes

* Refactoring

* Refactoring

* Refactor

* Add controlnet

* Refactor

* Update conversion script

* Add image processor

* Shift postprocessing to ImageProcessor

* Refactor

* Fix device

* Add fast tests

* Update conversion script

* Fix checkpoint conversion script

* Integrate review changes

* Integrate reivew changes

* Remove unused functions from test

* Reuse HF image processor in Cond image

* Create new BlipImageProcessor based on transfomers

* Fix image preprocessor

* Minor

* Minor

* Add canny preprocessing

* Fix controlnet preprocessing

* Fix blip diffusion test

* Add controlnet test

* Add initial doc strings

* Integrate review changes

* Refactor

* Update examples

* Remove DDIM comments

* Add copied from for prepare_latents

* Add type anotations

* Add docstrings

* Do black formatting

* Add batch support

* Make tests pass

* Make controlnet tests pass

* Black formatting

* Fix progress bar

* Fix some licensing comments

* Fix imports

* Refactor controlnet

* Make tests faster

* Edit examples

* Black formatting/Ruff

* Add doc

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

* Move controlnet pipeline

* Make tests faster

* Fix imports

* Fix formatting

* Fix make errors

* Fix make errors

* Minor

* Add suggested doc changes
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Edit docs

* Fix 16 bit loading

* Update examples

* Edit toctree

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

* Minor

* Add tips

* Edit examples

* Update model paths

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

* use python 3.7 instead

* Update setup.py

* Implement `CustomDiffusionAttnProcessor2_0`

* Doc-strings and type annotations for `CustomDiffusionAttnProcessor2_0`. (#1)

* Update attnprocessor.md

* Update attention_processor.py

* Interops for `CustomDiffusionAttnProcessor2_0`.

* Formatted `attention_processor.py`.

* Formatted doc-string in `attention_processor.py`

* Conditional CustomDiffusion2_0 for training example.

* Remove unnecessary reference impl in comments.

* Fix `save_attn_procs`.

* add doc around fusing multiple loras.

* Apply suggestions from code review
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* address poli's comments.

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Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* fix typos in docs

* fix for issue  #5023

* [SDXL, Docs] Textual inversion

* Update docs/source/en/using-diffusers/sdxl.md

* finish

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

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

* Add files via upload
Co-authored-by: Shahmatov Arseniy <62886550+cene555@users.noreply.github.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* refactor

* update general optim sections

* update more sections

* few more updates

* benchmark code

fix broken link

* fix compel usage

* minor changes in documentation

* fix tests

* fix more

* fix more

* typos

* fix tests

* formatting

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Co-authored-by: Dominic Rampas <d6582533@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [SDXL] Add LoRA to all pipelines

* fix all

* fix all

* fix all

* fix more docs

* make style

[Tests and Docs] Add a test on serializing pipelines with components containing fused LoRA modules (#4962)

* add: test to ensure pipelines can be saved with fused lora modules.

* add docs about serialization with fused lora.

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

* Empty-Commit

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

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix arguments and make example code work

* change arguments in combined test

* Add default timesteps

* style

* fixed test

* fix broken test

* formatting

* fix docstrings

* fix  num_images_per_prompt

* fix doc styles

* please dont change this

* fix tests

* rename to DEFAULT_STAGE_C_TIMESTEPS

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Co-authored-by: Dominic Rampas <d6582533@gmail.com>

* 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

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

fix: minor formatting in the docs

add t2i adapter entry to overview of training scripts.

* 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.

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

* 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.

* 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>

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

* add size warning

* feedback