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docs/source/en/_toctree.yml

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title: Overview
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- local: using-diffusers/create_a_server
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title: Create a server
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- local: using-diffusers/batched_inference
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title: Batch inference
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- local: training/distributed_inference
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title: Distributed inference
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- local: using-diffusers/scheduler_features

docs/source/en/api/pipelines/amused.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# aMUSEd
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aMUSEd was introduced in [aMUSEd: An Open MUSE Reproduction](https://huggingface.co/papers/2401.01808) by Suraj Patil, William Berman, Robin Rombach, and Patrick von Platen.

docs/source/en/api/pipelines/attend_and_excite.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# Attend-and-Excite
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Attend-and-Excite for Stable Diffusion was proposed in [Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models](https://attendandexcite.github.io/Attend-and-Excite/) and provides textual attention control over image generation.

docs/source/en/api/pipelines/audioldm.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# AudioLDM
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AudioLDM was proposed in [AudioLDM: Text-to-Audio Generation with Latent Diffusion Models](https://huggingface.co/papers/2301.12503) by Haohe Liu et al. Inspired by [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/overview), AudioLDM

docs/source/en/api/pipelines/blip_diffusion.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# BLIP-Diffusion
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BLIP-Diffusion was proposed in [BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing](https://huggingface.co/papers/2305.14720). It enables zero-shot subject-driven generation and control-guided zero-shot generation.

docs/source/en/api/pipelines/controlnetxs.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# ControlNet-XS
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<div class="flex flex-wrap space-x-1">

docs/source/en/api/pipelines/controlnetxs_sdxl.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# ControlNet-XS with Stable Diffusion XL
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ControlNet-XS was introduced in [ControlNet-XS](https://vislearn.github.io/ControlNet-XS/) by Denis Zavadski and Carsten Rother. It is based on the observation that the control model in the [original ControlNet](https://huggingface.co/papers/2302.05543) can be made much smaller and still produce good results.

docs/source/en/api/pipelines/dance_diffusion.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# Dance Diffusion
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[Dance Diffusion](https://github.com/Harmonai-org/sample-generator) is by Zach Evans.

docs/source/en/api/pipelines/diffedit.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# DiffEdit
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[DiffEdit: Diffusion-based semantic image editing with mask guidance](https://huggingface.co/papers/2210.11427) is by Guillaume Couairon, Jakob Verbeek, Holger Schwenk, and Matthieu Cord.

docs/source/en/api/pipelines/i2vgenxl.md

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> [!WARNING]
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> This pipeline is deprecated but it can still be used. However, we won't test the pipeline anymore and won't accept any changes to it. If you run into any issues, reinstall the last Diffusers version that supported this model.
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# I2VGen-XL
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[I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models](https://hf.co/papers/2311.04145.pdf) by Shiwei Zhang, Jiayu Wang, Yingya Zhang, Kang Zhao, Hangjie Yuan, Zhiwu Qin, Xiang Wang, Deli Zhao, and Jingren Zhou.

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