| - sections: |
| - local: index |
| title: 🧨 Diffusers |
| - local: quicktour |
| title: Quicktour |
| - local: stable_diffusion |
| title: Effective and efficient diffusion |
| - local: installation |
| title: Installation |
| title: Get started |
| - sections: |
| - local: tutorials/tutorial_overview |
| title: Overview |
| - local: using-diffusers/write_own_pipeline |
| title: Understanding models and schedulers |
| - local: tutorials/basic_training |
| title: Train a diffusion model |
| title: Tutorials |
| - sections: |
| - sections: |
| - local: using-diffusers/loading_overview |
| title: Overview |
| - local: using-diffusers/loading |
| title: Load pipelines, models, and schedulers |
| - local: using-diffusers/schedulers |
| title: Load and compare different schedulers |
| - local: using-diffusers/custom_pipeline_overview |
| title: Load community pipelines |
| - local: using-diffusers/using_safetensors |
| title: Load safetensors |
| - local: using-diffusers/other-formats |
| title: Load different Stable Diffusion formats |
| title: Loading & Hub |
| - sections: |
| - local: using-diffusers/pipeline_overview |
| title: Overview |
| - 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/textual_inversion_inference |
| title: Textual inversion |
| - local: training/distributed_inference |
| title: Distributed inference with multiple GPUs |
| - local: using-diffusers/reusing_seeds |
| title: Improve image quality with deterministic generation |
| - local: using-diffusers/control_brightness |
| title: Control image brightness |
| - local: using-diffusers/reproducibility |
| title: Create reproducible pipelines |
| - local: using-diffusers/custom_pipeline_examples |
| title: Community pipelines |
| - local: using-diffusers/contribute_pipeline |
| title: How to contribute a community pipeline |
| - local: using-diffusers/stable_diffusion_jax_how_to |
| title: Stable Diffusion in JAX/Flax |
| - local: using-diffusers/weighted_prompts |
| title: Weighting Prompts |
| title: Pipelines for Inference |
| - sections: |
| - local: training/overview |
| title: Overview |
| - local: training/create_dataset |
| title: Create a dataset for training |
| - local: training/adapt_a_model |
| title: Adapt a model to a new task |
| - 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) |
| - local: training/controlnet |
| title: ControlNet |
| - local: training/instructpix2pix |
| title: InstructPix2Pix Training |
| - local: training/custom_diffusion |
| title: Custom Diffusion |
| title: Training |
| - sections: |
| - local: using-diffusers/other-modalities |
| title: Other Modalities |
| title: Taking Diffusers Beyond Images |
| title: Using Diffusers |
| - sections: |
| - local: optimization/opt_overview |
| title: Overview |
| - 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/coreml |
| title: Core ML |
| - local: optimization/mps |
| title: MPS |
| - local: optimization/habana |
| title: Habana Gaudi |
| - local: optimization/tome |
| title: Token Merging |
| title: Optimization/Special Hardware |
| - sections: |
| - local: conceptual/philosophy |
| title: Philosophy |
| - local: using-diffusers/controlling_generation |
| title: Controlled generation |
| - local: conceptual/contribution |
| title: How to contribute? |
| - local: conceptual/ethical_guidelines |
| title: Diffusers' Ethical Guidelines |
| - local: conceptual/evaluation |
| title: Evaluating Diffusion Models |
| title: Conceptual Guides |
| - sections: |
| - sections: |
| - local: api/attnprocessor |
| title: Attention Processor |
| - 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 |
| - local: api/utilities |
| title: Utilities |
| - local: api/image_processor |
| title: VAE Image Processor |
| title: Main Classes |
| - sections: |
| - local: api/models/overview |
| title: Overview |
| - local: api/models/unet |
| title: UNet1DModel |
| - local: api/models/unet2d |
| title: UNet2DModel |
| - local: api/models/unet2d-cond |
| title: UNet2DConditionModel |
| - local: api/models/unet3d-cond |
| title: UNet3DConditionModel |
| - local: api/models/vq |
| title: VQModel |
| - local: api/models/autoencoderkl |
| title: AutoencoderKL |
| - local: api/models/asymmetricautoencoderkl |
| title: AsymmetricAutoencoderKL |
| - local: api/models/transformer2d |
| title: Transformer2D |
| - local: api/models/transformer_temporal |
| title: Transformer Temporal |
| - local: api/models/prior_transformer |
| title: Prior Transformer |
| - local: api/models/controlnet |
| title: ControlNet |
| title: Models |
| - sections: |
| - local: api/pipelines/overview |
| title: Overview |
| - local: api/pipelines/alt_diffusion |
| title: AltDiffusion |
| - local: api/pipelines/attend_and_excite |
| title: Attend-and-Excite |
| - local: api/pipelines/audio_diffusion |
| title: Audio Diffusion |
| - local: api/pipelines/audioldm |
| title: AudioLDM |
| - local: api/pipelines/auto_pipeline |
| title: AutoPipeline |
| - local: api/pipelines/consistency_models |
| title: Consistency Models |
| - local: api/pipelines/controlnet |
| title: ControlNet |
| - 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/deepfloyd_if |
| title: DeepFloyd IF |
| - local: api/pipelines/diffedit |
| title: DiffEdit |
| - local: api/pipelines/dit |
| title: DiT |
| - local: api/pipelines/pix2pix |
| title: InstructPix2Pix |
| - local: api/pipelines/kandinsky |
| title: Kandinsky |
| - local: api/pipelines/kandinsky_v22 |
| title: Kandinsky 2.2 |
| - local: api/pipelines/latent_diffusion |
| title: Latent Diffusion |
| - local: api/pipelines/panorama |
| title: MultiDiffusion |
| - local: api/pipelines/paint_by_example |
| title: PaintByExample |
| - local: api/pipelines/paradigms |
| title: Parallel Sampling of Diffusion Models |
| - local: api/pipelines/pix2pix_zero |
| title: Pix2Pix Zero |
| - local: api/pipelines/pndm |
| title: PNDM |
| - local: api/pipelines/repaint |
| title: RePaint |
| - local: api/pipelines/score_sde_ve |
| title: Score SDE VE |
| - local: api/pipelines/self_attention_guidance |
| title: Self-Attention Guidance |
| - local: api/pipelines/semantic_stable_diffusion |
| title: Semantic Guidance |
| - local: api/pipelines/shap_e |
| title: Shap-E |
| - local: api/pipelines/spectrogram_diffusion |
| title: Spectrogram Diffusion |
| - 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: Inpainting |
| - 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/stable_diffusion_safe |
| title: Safe Stable Diffusion |
| - local: api/pipelines/stable_diffusion/stable_diffusion_2 |
| title: Stable Diffusion 2 |
| - local: api/pipelines/stable_diffusion/stable_diffusion_xl |
| title: Stable Diffusion XL |
| - local: api/pipelines/stable_diffusion/latent_upscale |
| title: Latent upscaler |
| - local: api/pipelines/stable_diffusion/upscale |
| title: Super-resolution |
| - local: api/pipelines/stable_diffusion/ldm3d_diffusion |
| title: LDM3D Text-to-(RGB, Depth) |
| - local: api/pipelines/stable_diffusion/adapter |
| title: Stable Diffusion T2I-adapter |
| title: Stable Diffusion |
| - local: api/pipelines/stable_unclip |
| title: Stable unCLIP |
| - local: api/pipelines/stochastic_karras_ve |
| title: Stochastic Karras VE |
| - local: api/pipelines/model_editing |
| title: Text-to-image model editing |
| - local: api/pipelines/text_to_video |
| title: Text-to-video |
| - local: api/pipelines/text_to_video_zero |
| title: Text2Video-Zero |
| - local: api/pipelines/unclip |
| title: UnCLIP |
| - local: api/pipelines/latent_diffusion_uncond |
| title: Unconditional Latent Diffusion |
| - local: api/pipelines/unidiffuser |
| title: UniDiffuser |
| - local: api/pipelines/value_guided_sampling |
| title: Value-guided sampling |
| - 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/cm_stochastic_iterative |
| title: Consistency Model Multistep Scheduler |
| - 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/dpm_sde |
| title: DPMSolverSDEScheduler |
| - 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/multistep_dpm_solver_inverse |
| title: Inverse Multistep DPM-Solver |
| - 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 |
| title: API |
|
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