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Commit abbfe4b5 authored by Patrick von Platen's avatar Patrick von Platen
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docs/source/ko/_toctree.yml
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title: MPS
- local: optimization/habana
title: Habana Gaudi
title: 최적화/특수 하드웨어
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title: 최적화/특수 하드웨어
docs/source/zh/_toctree.yml
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title: 🧨 Diffusers
- local: quicktour
title: 快速入门
- local: stable_diffusion
title: Effective and efficient diffusion
- local: installation
title: 安装
title: 开始
- 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/kerascv
title: Load KerasCV Stable Diffusion checkpoints
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/reusing_seeds
title: Improve image quality with deterministic generation
- 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/using_safetensors
title: Using safetensors
- 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/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/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/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/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/audioldm
title: AudioLDM
- 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/if
title: IF
- 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
- 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: 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
- local: api/pipelines/stable_diffusion/model_editing
title: Text-to-Image Model Editing
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/text_to_video
title: Text-to-Video
- local: api/pipelines/text_to_video_zero
title: Text-to-Video Zero
- 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
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