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| - 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 pipelines, models and schedulers | |
| - local: tutorials/autopipeline | |
| title: AutoPipeline | |
| - local: tutorials/basic_training | |
| title: Train a diffusion model | |
| - local: tutorials/using_peft_for_inference | |
| title: Inference with PEFT | |
| 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 and components | |
| - local: using-diffusers/using_safetensors | |
| title: Load safetensors | |
| - local: using-diffusers/other-formats | |
| title: Load different Stable Diffusion formats | |
| - local: using-diffusers/loading_adapters | |
| title: Load adapters | |
| - local: using-diffusers/push_to_hub | |
| title: Push files to the Hub | |
| 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 | |
| - local: using-diffusers/img2img | |
| title: Image-to-image | |
| - local: using-diffusers/inpaint | |
| title: Inpainting | |
| - local: using-diffusers/depth2img | |
| title: Depth-to-image | |
| title: Tasks | |
| - sections: | |
| - 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/weighted_prompts | |
| title: Prompt weighting | |
| - local: using-diffusers/freeu | |
| title: Improve generation quality with FreeU | |
| title: Techniques | |
| - sections: | |
| - local: using-diffusers/pipeline_overview | |
| title: Overview | |
| - local: using-diffusers/sdxl | |
| title: Stable Diffusion XL | |
| - local: using-diffusers/kandinsky | |
| title: Kandinsky | |
| - local: using-diffusers/controlnet | |
| title: ControlNet | |
| - local: using-diffusers/shap-e | |
| title: Shap-E | |
| - local: using-diffusers/diffedit | |
| title: DiffEdit | |
| - local: using-diffusers/distilled_sd | |
| title: Distilled Stable Diffusion inference | |
| - local: using-diffusers/callback | |
| title: Pipeline callbacks | |
| - local: using-diffusers/reproducibility | |
| title: Create reproducible pipelines | |
| - local: using-diffusers/custom_pipeline_examples | |
| title: Community pipelines | |
| - local: using-diffusers/contribute_pipeline | |
| title: Contribute a community pipeline | |
| - local: using-diffusers/inference_with_lcm_lora | |
| title: Latent Consistency Model-LoRA | |
| - local: using-diffusers/inference_with_lcm | |
| title: Latent Consistency Model | |
| title: Specific pipeline examples | |
| - 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 | |
| - sections: | |
| - local: training/unconditional_training | |
| title: Unconditional image generation | |
| - local: training/text2image | |
| title: Text-to-image | |
| - local: training/sdxl | |
| title: Stable Diffusion XL | |
| - local: training/kandinsky | |
| title: Kandinsky 2.2 | |
| - local: training/wuerstchen | |
| title: Wuerstchen | |
| - local: training/controlnet | |
| title: ControlNet | |
| - local: training/t2i_adapters | |
| title: T2I-Adapters | |
| - local: training/instructpix2pix | |
| title: InstructPix2Pix | |
| title: Models | |
| - sections: | |
| - local: training/text_inversion | |
| title: Textual Inversion | |
| - local: training/dreambooth | |
| title: DreamBooth | |
| - local: training/lora | |
| title: LoRA | |
| - local: training/custom_diffusion | |
| title: Custom Diffusion | |
| - local: training/ddpo | |
| title: Reinforcement learning training with DDPO | |
| title: Methods | |
| 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 | |
| - sections: | |
| - local: optimization/fp16 | |
| title: Speed up inference | |
| - local: optimization/memory | |
| title: Reduce memory usage | |
| - local: optimization/torch2.0 | |
| title: PyTorch 2.0 | |
| - local: optimization/xformers | |
| title: xFormers | |
| - local: optimization/tome | |
| title: Token merging | |
| title: General optimizations | |
| - sections: | |
| - local: using-diffusers/stable_diffusion_jax_how_to | |
| title: JAX/Flax | |
| - local: optimization/onnx | |
| title: ONNX | |
| - local: optimization/open_vino | |
| title: OpenVINO | |
| - local: optimization/coreml | |
| title: Core ML | |
| title: Optimized model types | |
| - sections: | |
| - local: optimization/mps | |
| title: Metal Performance Shaders (MPS) | |
| - local: optimization/habana | |
| title: Habana Gaudi | |
| title: Optimized hardware | |
| title: Optimization | |
| - 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/configuration | |
| title: Configuration | |
| - local: api/logging | |
| title: Logging | |
| - local: api/outputs | |
| title: Outputs | |
| title: Main Classes | |
| - sections: | |
| - local: api/loaders/lora | |
| title: LoRA | |
| - local: api/loaders/single_file | |
| title: Single files | |
| - local: api/loaders/textual_inversion | |
| title: Textual Inversion | |
| - local: api/loaders/unet | |
| title: UNet | |
| title: Loaders | |
| - 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/unet-motion | |
| title: UNetMotionModel | |
| - local: api/models/vq | |
| title: VQModel | |
| - local: api/models/autoencoderkl | |
| title: AutoencoderKL | |
| - local: api/models/asymmetricautoencoderkl | |
| title: AsymmetricAutoencoderKL | |
| - local: api/models/autoencoder_tiny | |
| title: Tiny AutoEncoder | |
| - local: api/models/consistency_decoder_vae | |
| title: ConsistencyDecoderVAE | |
| - 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/animatediff | |
| title: AnimateDiff | |
| - 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/audioldm2 | |
| title: AudioLDM 2 | |
| - local: api/pipelines/auto_pipeline | |
| title: AutoPipeline | |
| - local: api/pipelines/blip_diffusion | |
| title: BLIP-Diffusion | |
| - local: api/pipelines/consistency_models | |
| title: Consistency Models | |
| - local: api/pipelines/controlnet | |
| title: ControlNet | |
| - local: api/pipelines/controlnet_sdxl | |
| title: ControlNet with Stable Diffusion XL | |
| - 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 2.1 | |
| - local: api/pipelines/kandinsky_v22 | |
| title: Kandinsky 2.2 | |
| - local: api/pipelines/latent_consistency_models | |
| title: Latent Consistency Models | |
| - local: api/pipelines/latent_diffusion | |
| title: Latent Diffusion | |
| - local: api/pipelines/panorama | |
| title: MultiDiffusion | |
| - local: api/pipelines/musicldm | |
| title: MusicLDM | |
| - local: api/pipelines/paint_by_example | |
| title: Paint by Example | |
| - local: api/pipelines/paradigms | |
| title: Parallel Sampling of Diffusion Models | |
| - local: api/pipelines/pix2pix_zero | |
| title: Pix2Pix Zero | |
| - local: api/pipelines/pixart | |
| title: PixArt-α | |
| - 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 | |
| - local: api/pipelines/stable_diffusion/gligen | |
| title: GLIGEN (Grounded Language-to-Image Generation) | |
| 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 | |
| - local: api/pipelines/wuerstchen | |
| title: Wuerstchen | |
| title: Pipelines | |
| - sections: | |
| - local: api/schedulers/overview | |
| title: Overview | |
| - local: api/schedulers/cm_stochastic_iterative | |
| title: CMStochasticIterativeScheduler | |
| - local: api/schedulers/consistency_decoder | |
| title: ConsistencyDecoderScheduler | |
| - local: api/schedulers/ddim_inverse | |
| title: DDIMInverseScheduler | |
| - local: api/schedulers/ddim | |
| title: DDIMScheduler | |
| - local: api/schedulers/ddpm | |
| title: DDPMScheduler | |
| - local: api/schedulers/deis | |
| title: DEISMultistepScheduler | |
| - local: api/schedulers/multistep_dpm_solver_inverse | |
| title: DPMSolverMultistepInverse | |
| - local: api/schedulers/multistep_dpm_solver | |
| title: DPMSolverMultistepScheduler | |
| - local: api/schedulers/dpm_sde | |
| title: DPMSolverSDEScheduler | |
| - local: api/schedulers/singlestep_dpm_solver | |
| title: DPMSolverSinglestepScheduler | |
| - local: api/schedulers/euler_ancestral | |
| title: EulerAncestralDiscreteScheduler | |
| - local: api/schedulers/euler | |
| title: EulerDiscreteScheduler | |
| - local: api/schedulers/heun | |
| title: HeunDiscreteScheduler | |
| - local: api/schedulers/ipndm | |
| title: IPNDMScheduler | |
| - local: api/schedulers/stochastic_karras_ve | |
| title: KarrasVeScheduler | |
| - local: api/schedulers/dpm_discrete_ancestral | |
| title: KDPM2AncestralDiscreteScheduler | |
| - local: api/schedulers/dpm_discrete | |
| title: KDPM2DiscreteScheduler | |
| - local: api/schedulers/lcm | |
| title: LCMScheduler | |
| - local: api/schedulers/lms_discrete | |
| title: LMSDiscreteScheduler | |
| - local: api/schedulers/pndm | |
| title: PNDMScheduler | |
| - local: api/schedulers/repaint | |
| title: RePaintScheduler | |
| - local: api/schedulers/score_sde_ve | |
| title: ScoreSdeVeScheduler | |
| - local: api/schedulers/score_sde_vp | |
| title: ScoreSdeVpScheduler | |
| - local: api/schedulers/unipc | |
| title: UniPCMultistepScheduler | |
| - local: api/schedulers/vq_diffusion | |
| title: VQDiffusionScheduler | |
| title: Schedulers | |
| - sections: | |
| - local: api/internal_classes_overview | |
| title: Overview | |
| - local: api/attnprocessor | |
| title: Attention Processor | |
| - local: api/activations | |
| title: Custom activation functions | |
| - local: api/normalization | |
| title: Custom normalization layers | |
| - local: api/utilities | |
| title: Utilities | |
| - local: api/image_processor | |
| title: VAE Image Processor | |
| title: Internal classes | |
| title: API | |