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- sections: | |
- local: index | |
title: 🧨 Diffusers | |
- local: quicktour | |
title: 快速入门 | |
- local: stable_diffusion | |
title: Stable Diffusion | |
- local: installation | |
title: 安装 | |
title: 开始 | |
- sections: | |
- local: tutorials/basic_training | |
title: Train a diffusion model | |
title: Tutorials | |
- sections: | |
- sections: | |
- local: using-diffusers/loading | |
title: Loading Pipelines, Models, and Schedulers | |
- local: using-diffusers/schedulers | |
title: Using different Schedulers | |
- local: using-diffusers/configuration | |
title: Configuring Pipelines, Models, and Schedulers | |
- local: using-diffusers/custom_pipeline_overview | |
title: Loading and Adding Custom Pipelines | |
- local: using-diffusers/kerascv | |
title: Using KerasCV Stable Diffusion Checkpoints in Diffusers | |
title: Loading & Hub | |
- sections: | |
- local: using-diffusers/unconditional_image_generation | |
title: Unconditional Image Generation | |
- local: using-diffusers/conditional_image_generation | |
title: Text-to-Image Generation | |
- local: using-diffusers/img2img | |
title: Text-Guided Image-to-Image | |
- local: using-diffusers/inpaint | |
title: Text-Guided Image-Inpainting | |
- local: using-diffusers/depth2img | |
title: Text-Guided Depth-to-Image | |
- local: using-diffusers/controlling_generation | |
title: Controlling generation | |
- local: using-diffusers/reusing_seeds | |
title: Reusing seeds for deterministic generation | |
- local: using-diffusers/reproducibility | |
title: Reproducibility | |
- local: using-diffusers/custom_pipeline_examples | |
title: Community Pipelines | |
- local: using-diffusers/contribute_pipeline | |
title: How to contribute a Pipeline | |
- local: using-diffusers/using_safetensors | |
title: Using safetensors | |
title: Pipelines for Inference | |
- sections: | |
- local: using-diffusers/rl | |
title: Reinforcement Learning | |
- local: using-diffusers/audio | |
title: Audio | |
- local: using-diffusers/other-modalities | |
title: Other Modalities | |
title: Taking Diffusers Beyond Images | |
title: Using Diffusers | |
- sections: | |
- local: optimization/fp16 | |
title: Memory and Speed | |
- local: optimization/torch2.0 | |
title: Torch2.0 support | |
- local: optimization/xformers | |
title: xFormers | |
- local: optimization/onnx | |
title: ONNX | |
- local: optimization/open_vino | |
title: OpenVINO | |
- local: optimization/mps | |
title: MPS | |
- local: optimization/habana | |
title: Habana Gaudi | |
title: Optimization/Special Hardware | |
- sections: | |
- local: training/overview | |
title: Overview | |
- local: training/unconditional_training | |
title: Unconditional Image Generation | |
- local: training/text_inversion | |
title: Textual Inversion | |
- local: training/dreambooth | |
title: DreamBooth | |
- local: training/text2image | |
title: Text-to-image | |
- local: training/lora | |
title: Low-Rank Adaptation of Large Language Models (LoRA) | |
title: Training | |
- sections: | |
- local: conceptual/philosophy | |
title: Philosophy | |
- local: conceptual/contribution | |
title: How to contribute? | |
- local: conceptual/ethical_guidelines | |
title: Diffusers' Ethical Guidelines | |
title: Conceptual Guides | |
- sections: | |
- sections: | |
- local: api/models | |
title: Models | |
- local: api/diffusion_pipeline | |
title: Diffusion Pipeline | |
- local: api/logging | |
title: Logging | |
- local: api/configuration | |
title: Configuration | |
- local: api/outputs | |
title: Outputs | |
- local: api/loaders | |
title: Loaders | |
title: Main Classes | |
- sections: | |
- local: api/pipelines/overview | |
title: Overview | |
- local: api/pipelines/alt_diffusion | |
title: AltDiffusion | |
- local: api/pipelines/audio_diffusion | |
title: Audio Diffusion | |
- local: api/pipelines/cycle_diffusion | |
title: Cycle Diffusion | |
- local: api/pipelines/dance_diffusion | |
title: Dance Diffusion | |
- local: api/pipelines/ddim | |
title: DDIM | |
- local: api/pipelines/ddpm | |
title: DDPM | |
- local: api/pipelines/dit | |
title: DiT | |
- local: api/pipelines/latent_diffusion | |
title: Latent Diffusion | |
- local: api/pipelines/paint_by_example | |
title: PaintByExample | |
- local: api/pipelines/pndm | |
title: PNDM | |
- local: api/pipelines/repaint | |
title: RePaint | |
- local: api/pipelines/stable_diffusion_safe | |
title: Safe Stable Diffusion | |
- local: api/pipelines/score_sde_ve | |
title: Score SDE VE | |
- local: api/pipelines/semantic_stable_diffusion | |
title: Semantic Guidance | |
- sections: | |
- local: api/pipelines/stable_diffusion/overview | |
title: Overview | |
- local: api/pipelines/stable_diffusion/text2img | |
title: Text-to-Image | |
- local: api/pipelines/stable_diffusion/img2img | |
title: Image-to-Image | |
- local: api/pipelines/stable_diffusion/inpaint | |
title: Inpaint | |
- local: api/pipelines/stable_diffusion/depth2img | |
title: Depth-to-Image | |
- local: api/pipelines/stable_diffusion/image_variation | |
title: Image-Variation | |
- local: api/pipelines/stable_diffusion/upscale | |
title: Super-Resolution | |
- local: api/pipelines/stable_diffusion/latent_upscale | |
title: Stable-Diffusion-Latent-Upscaler | |
- local: api/pipelines/stable_diffusion/pix2pix | |
title: InstructPix2Pix | |
- local: api/pipelines/stable_diffusion/attend_and_excite | |
title: Attend and Excite | |
- local: api/pipelines/stable_diffusion/pix2pix_zero | |
title: Pix2Pix Zero | |
- local: api/pipelines/stable_diffusion/self_attention_guidance | |
title: Self-Attention Guidance | |
- local: api/pipelines/stable_diffusion/panorama | |
title: MultiDiffusion Panorama | |
- local: api/pipelines/stable_diffusion/controlnet | |
title: Text-to-Image Generation with ControlNet Conditioning | |
title: Stable Diffusion | |
- local: api/pipelines/stable_diffusion_2 | |
title: Stable Diffusion 2 | |
- local: api/pipelines/stable_unclip | |
title: Stable unCLIP | |
- local: api/pipelines/stochastic_karras_ve | |
title: Stochastic Karras VE | |
- local: api/pipelines/unclip | |
title: UnCLIP | |
- local: api/pipelines/latent_diffusion_uncond | |
title: Unconditional Latent Diffusion | |
- local: api/pipelines/versatile_diffusion | |
title: Versatile Diffusion | |
- local: api/pipelines/vq_diffusion | |
title: VQ Diffusion | |
title: Pipelines | |
- sections: | |
- local: api/schedulers/overview | |
title: Overview | |
- local: api/schedulers/ddim | |
title: DDIM | |
- local: api/schedulers/ddim_inverse | |
title: DDIMInverse | |
- local: api/schedulers/ddpm | |
title: DDPM | |
- local: api/schedulers/deis | |
title: DEIS | |
- local: api/schedulers/dpm_discrete | |
title: DPM Discrete Scheduler | |
- local: api/schedulers/dpm_discrete_ancestral | |
title: DPM Discrete Scheduler with ancestral sampling | |
- local: api/schedulers/euler_ancestral | |
title: Euler Ancestral Scheduler | |
- local: api/schedulers/euler | |
title: Euler scheduler | |
- local: api/schedulers/heun | |
title: Heun Scheduler | |
- local: api/schedulers/ipndm | |
title: IPNDM | |
- local: api/schedulers/lms_discrete | |
title: Linear Multistep | |
- local: api/schedulers/multistep_dpm_solver | |
title: Multistep DPM-Solver | |
- local: api/schedulers/pndm | |
title: PNDM | |
- local: api/schedulers/repaint | |
title: RePaint Scheduler | |
- local: api/schedulers/singlestep_dpm_solver | |
title: Singlestep DPM-Solver | |
- local: api/schedulers/stochastic_karras_ve | |
title: Stochastic Kerras VE | |
- local: api/schedulers/unipc | |
title: UniPCMultistepScheduler | |
- local: api/schedulers/score_sde_ve | |
title: VE-SDE | |
- local: api/schedulers/score_sde_vp | |
title: VP-SDE | |
- local: api/schedulers/vq_diffusion | |
title: VQDiffusionScheduler | |
title: Schedulers | |
- sections: | |
- local: api/experimental/rl | |
title: RL Planning | |
title: Experimental Features | |
title: API | |