File size: 3,999 Bytes
e2bcd96 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 |
- title: 开始Diffusers
sections:
- local: index
title: Diffusers
- local: installation
title: 安装
- local: quicktour
title: 快速入门
- local: stable_diffusion
title: 有效和高效的扩散
- title: DiffusionPipeline
isExpanded: false
sections:
- local: using-diffusers/schedulers
title: Load schedulers and models
- title: Inference
isExpanded: false
sections:
- local: training/distributed_inference
title: Distributed inference
- title: Inference optimization
isExpanded: false
sections:
- local: optimization/fp16
title: Accelerate inference
- local: optimization/cache
title: Caching
- local: optimization/memory
title: Reduce memory usage
- local: optimization/speed-memory-optims
title: Compile and offloading quantized models
- title: Community optimizations
sections:
- local: optimization/pruna
title: Pruna
- local: optimization/xformers
title: xFormers
- local: optimization/tome
title: Token merging
- local: optimization/deepcache
title: DeepCache
- local: optimization/tgate
title: TGATE
- local: optimization/xdit
title: xDiT
- local: optimization/para_attn
title: ParaAttention
- title: Hybrid Inference
isExpanded: false
sections:
- local: hybrid_inference/overview
title: Overview
- local: hybrid_inference/vae_encode
title: VAE Encode
- local: hybrid_inference/api_reference
title: API Reference
- title: Modular Diffusers
isExpanded: false
sections:
- local: modular_diffusers/overview
title: Overview
- local: modular_diffusers/quickstart
title: Quickstart
- local: modular_diffusers/modular_diffusers_states
title: States
- local: modular_diffusers/pipeline_block
title: ModularPipelineBlocks
- local: modular_diffusers/sequential_pipeline_blocks
title: SequentialPipelineBlocks
- local: modular_diffusers/loop_sequential_pipeline_blocks
title: LoopSequentialPipelineBlocks
- local: modular_diffusers/auto_pipeline_blocks
title: AutoPipelineBlocks
- local: modular_diffusers/modular_pipeline
title: ModularPipeline
- local: modular_diffusers/components_manager
title: ComponentsManager
- local: modular_diffusers/guiders
title: Guiders
- title: Training
isExpanded: false
sections:
- local: training/overview
title: Overview
- local: training/adapt_a_model
title: Adapt a model to a new task
- title: Models
sections:
- local: training/text2image
title: Text-to-image
- local: training/kandinsky
title: Kandinsky 2.2
- local: training/wuerstchen
title: Wuerstchen
- local: training/controlnet
title: ControlNet
- local: training/instructpix2pix
title: InstructPix2Pix
- title: Methods
sections:
- local: training/text_inversion
title: Textual Inversion
- local: training/dreambooth
title: DreamBooth
- local: training/lora
title: LoRA
- title: Model accelerators and hardware
isExpanded: false
sections:
- local: optimization/onnx
title: ONNX
- local: optimization/open_vino
title: OpenVINO
- local: optimization/coreml
title: Core ML
- local: optimization/mps
title: Metal Performance Shaders (MPS)
- local: optimization/habana
title: Intel Gaudi
- local: optimization/neuron
title: AWS Neuron
- title: Specific pipeline examples
isExpanded: false
sections:
- local: using-diffusers/consisid
title: ConsisID
- title: Resources
isExpanded: false
sections:
- title: Task recipes
sections:
- local: community_projects
title: Projects built with Diffusers
- local: conceptual/philosophy
title: Philosophy
- local: conceptual/contribution
title: How to contribute?
- local: conceptual/ethical_guidelines
title: Diffusers' Ethical Guidelines
- local: conceptual/evaluation
title: Evaluating Diffusion Models
|