GitLab

* fix: enabled num_images_per_prompt>1 for lpw_stable_diffusion_xl

* style: fixed isort

* 🔧 Fix import codes in diffusers library

* ✨Refactor imports in community examples

Fix the pipeline name in the examples for LMD+ pipeline. Add a colab link to pipeline README. (#5775)

* Fix the pipeline name in the examples for LMD+ pipeline

* Add LMD+ colab link

* Apply code formatting

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

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

* Add LLM-grounded Diffusion (LMD+) pipeline

* Update the formatting

* Applied formatting

* Add a new community pipeline

examples/community/latent_consistency_img2img.py

which can be called like this

import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained(
                "SimianLuo/LCM_Dreamshaper_v7", custom_pipeline="latent_consistency_txt2img", custom_revision="main")

            # To save GPU memory, torch.float16 can be used, but it may compromise image quality.
pipe.to(torch_device="cuda", torch_dtype=torch.float32)

img2img=LatentConsistencyModelPipeline_img2img(
    vae=pipe.vae,
    text_encoder=pipe.text_encoder,
    tokenizer=pipe.tokenizer,
    unet=pipe.unet,
    #scheduler=pipe.scheduler,
    scheduler=None,
    safety_checker=None,
    feature_extractor=pipe.feature_extractor,
    requires_safety_checker=False,
)

img = Image.open("thisismyimage.png")

result = img2img(prompt,img,strength,num_inference_steps=4)

* Apply suggestions from code review

Fix name formatting for scheduler
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update readme (and run formatter on latent_consistency_img2img.py)

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

Right now, only "main" branch has this community pipeline code. So, adding it manually into pipeline

* Add latent consistency

* Update examples/community/README.md

* Add latent consistency

* make fix copies

* Apply suggestions from code review

* chore: fix typos

* Update src/diffusers/pipelines/shap_e/renderer.py
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>

---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>

* fix all

* make fix copies

* make fix copies

* Update run_onnx_controlnet.py

* Update run_tensorrt_controlnet.py

SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know (#5155)

* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know

* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know

* empty

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

* Fix type annotation on Scheduler.from_pretrained

* Fix type annotation on PIL.Image

Fixed `get_word_inds` mistake/typo in P2P community pipeline

The function `get_word_inds` was taking a string of text and either a word (str) or a word index (int) and returned the indices of token(s) the word would be encoded to.

However, there was a typo, in which in the second `if` branch the word was checked to be a `str` **again**, not `int`, which resulted in an [example code from the docs](https://github.com/huggingface/diffusers/tree/main/examples/community#prompt2prompt-pipeline) to result in an error

* [LoRA] fix typo in attention_processor.py

fixes #5062

* make style

* make fix-copies, logger comented for torch compile

* convert tensorrt controlnet

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix number controlnet condition

* Add convert SD XL to onnx

* Add convert SD XL to tensorrt

* Add convert SD XL to tensorrt

* Add examples in comments

* Add examples in comments

* Add test onnx controlnet

* Add tensorrt test

* Remove copied

* Move file test to examples/community

* Remove script

* Remove script

* Remove text

* Fix import

---------
Co-authored-by: dotieuthien <thien.do@mservice.com.vn>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Initial commit P2P

* Replaced CrossAttention, added test skeleton

* bug fixes

* Updated docstring

* Removed unused function

* Created tests

* improved tests

- made fast inference tests faster
- corrected image shape assertions

* Corrected expected output shape in tests

* small fix: test inputs

* Update tests

- used conditional unet2d
- set expected image slices
- edit_kwargs are now not popped, so pipe can be run multiple times

* Fixed bug in int tests

* Fixed tests

* Linting

* Create prompt2prompt.md

* Added to docs toc

* Ran make fix-copies

* Fixed code blocks in docs

* Using same interface as StableDiffusionPipeline

* Fixed small test bug

* Added all options SDPipeline.__call_ has

* Fixed docstring; made __call__ like in SD

* Linting

* Added test for multiple prompts

* Improved docs

* Incorporated feedback

* Reverted formatting on unrelated files

* Moved prompt2prompt to community

- Moved prompt2prompt pipeline from main to community
- Deleted tests
- Moved documentation to community and shorted it

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

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

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

* 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>

* Create masked_stable_diffusion_img2img.py

* add MaskedIm2ImPipeline to readme

* Update README.md

* empty PR

* init

* changes

* starting with the pipeline

* stable diff

* prev

* more things, getting started

* more functions

* makeing it more readable

* almost done testing

* var changes

* testing

* device

* device support

* maybe

* device malfunctions

* new new

* register

* testing

* exec does not work

* float

* change info

* change of architecture

* might work

* testing with colab

* more attn atuff

* stupid additions

* documenting and testing

* writing tests

* more docs

* tests and docs

* remove test

* empty PR

* init

* changes

* starting with the pipeline

* stable diff

* prev

* more things, getting started

* more functions

* makeing it more readable

* almost done testing

* var changes

* testing

* device

* device support

* maybe

* device malfunctions

* new new

* register

* testing

* exec does not work

* float

* change info

* change of architecture

* might work

* testing with colab

* more attn atuff

* stupid additions

* documenting and testing

* writing tests

* more docs

* tests and docs

* remove test

* change cross attention

* revert back

* tests

* reverting back to orig

* changes

* test passing

* pipeline changes

* before quality

* quality checks pass

* remove print statements

* doc fixes

* __init__ error something

* update docs, working on dim

* working on encoding

* doc fix

* more fixes

* no more dependent on 512*512

* update docs

* fixes

* test passing

* remove comment

* fixes and migration

* simpler tests

* doc changes

* green CI

* changes

* more docs

* changes

* new images

* to community examples

* selete

* more fixes

* changes

* fix

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

* fix sdxl_lwp empty neg_prompt error issue

* fix sdxl_lwp empty neg_prompt error issue, update code format

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

* rename test file to run, so that examples tests do not fail

* [Tests] Rename community tests

* ADD SDXL reference & reference adain

* Update README.md

* Update README.md

* format stable_diffusion_xl_reference.py

* format file

* Format file

* format file

* fix format

* fix format with ruff

* fix format

* Update examples/community/README.md
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update examples/community/README.md
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* Update README.md

* Update README.md & fix typo

* Update README.md

* fix format

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

* Add SDXL long weighted prompt pipeline

* Add SDXL long weighted prompt pipeline usage sample in the readme document

* Add SDXL long weighted prompt pipeline usage sample in the readme document, add result image

* [WIP] Remove code snippets containing `is_safetensors_available()`

* Modifying `import_utils.py`

* update pipeline tests for safetensor default

* fix test related to cached requests

* address import nits

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

* convert tensorrt controlnet

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix code quality

* Fix number controlnet condition

* Add convert SD XL to onnx

* Add convert SD XL to tensorrt

* Add convert SD XL to tensorrt

* Add examples in comments

* Add examples in comments

* Add test onnx controlnet

* Add tensorrt test

* Remove copied

* Move file test to examples/community

* Remove script

* Remove script

* Remove text

---------
Co-authored-by: dotieuthien <thien.do@mservice.com.vn>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* Support different strength

* run make style

* add zero123 pipeline to community

* add community doc

* reformat

* update zero123 pipeline, including cc_projection within diffusers; add convert ckpt scripts; support diffusers weights