GitLab

* [Community Pipeline] Add Marigold Monocular Depth Estimation

- add single-file pipeline
- update README

* fix format - add one blank line

* format script with ruff

* use direct image link in example code

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

* Update regional_prompting_stable_diffusion.py

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* regormat

* reformat

* reformat

* reformat

* reformat

* Update regional_prompting_stable_diffusion.py

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

* add img2img and inpaint support to lpw-xl

* update community README

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

* Add community pipeline: sde_drag.py

* Update README.md

* Update README.md

Update example code and visual example

* Update sde_drag.py

Update code example.

Fix typos and trim trailing whitespaces

* begin work on animatediff + controlnet pipeline

* complete todos, uncomment multicontrolnet, input checks
Co-Authored-By: EdoardoBotta <botta.edoardo@gmail.com>

* update
Co-Authored-By: EdoardoBotta <botta.edoardo@gmail.com>

* add example

* update community README

* Update examples/community/README.md

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

* Harmonize HF environment variables + deprecate use_auth_token

* fix import

* fix

* Update pipeline_demofusion_sdxl.py

* Update README.md

* Add files via upload

* Update README.md

* Update pipeline_demofusion_sdxl.py

* Update pipeline_demofusion_sdxl.py

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

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

* LLMGroundedDiffusionPipeline: inherit from DiffusionPipeline and fix peft

* Use main in the revision in the examples

* Add "Copied from" statements in comments

* Fix formatting with ruff

* Update README.md

* Update README.md

* Add files via upload

* Update README.md

* Update examples/community/README.md

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

* make `requires_safety_checker` a kwarg instead of a positional argument as it's more future-proof

* apply `make style` formatting edits

* add image_encoder to arguments and pass to super constructor

* bug in MultiAdapter for Inpainting

* adapter_input is a list for MultiAdapter

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

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Co-authored-by: Aflalo <estellea@isl-gpu27.rr.intel.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* [community pipeline] dps impl

* add type checking

* pass ruff check

* ruff formatter

fix: error on device for `lpw_stable_diffusion_xl` pipeline if `pipe.enable_sequential_cpu_offload()` enabled (#5885)

fix: set device for pipe.enable_sequential_cpu_offload()

add IPEX pipeline LoRA weights loading support

* ControlNet+Adapter pipeline, and +Inpaint pipeline


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Co-authored-by: andres <andres@hax.ai>

* fix an issue that ipex occupy too much memory, it will not impact performance

* make style

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Co-authored-by: root <jun.chen@intel.com>
Co-authored-by: Meng Guoqing <guoqing.meng@intel.com>

* wip: add interpolate pipeline for lcm

* update documentation

* update documentation

* ruff format

* not need to use doc-builder's black styling as the doc is styled in ruff

* make fix-copies

* comment

* use run_ruff

* 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)

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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>

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

* fix all

* make fix copies

* make fix copies