| - 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 | |