_toctree.yml

- 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
- 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/loaders
      title: Loaders
    - local: api/logging
      title: Logging
    - local: api/outputs
      title: Outputs
    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/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