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17 | 17 | title: AutoPipeline |
18 | 18 | - local: tutorials/basic_training |
19 | 19 | title: Train a diffusion model |
20 | | - - local: tutorials/using_peft_for_inference |
21 | | - title: Load LoRAs for inference |
22 | 20 | - local: tutorials/fast_diffusion |
23 | 21 | title: Accelerate inference of text-to-image diffusion models |
24 | | - - local: tutorials/inference_with_big_models |
25 | | - title: Working with big models |
26 | 22 | title: Tutorials |
27 | 23 | - sections: |
28 | 24 | - local: using-diffusers/loading |
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33 | 29 | title: Load schedulers and models |
34 | 30 | - local: using-diffusers/other-formats |
35 | 31 | title: Model files and layouts |
36 | | - - local: using-diffusers/loading_adapters |
37 | | - title: Load adapters |
38 | 32 | - local: using-diffusers/push_to_hub |
39 | 33 | title: Push files to the Hub |
40 | 34 | title: Load pipelines and adapters |
| 35 | +- sections: |
| 36 | + - local: tutorials/using_peft_for_inference |
| 37 | + title: LoRA |
| 38 | + - local: using-diffusers/ip_adapter |
| 39 | + title: IP-Adapter |
| 40 | + - local: using-diffusers/controlnet |
| 41 | + title: ControlNet |
| 42 | + - local: using-diffusers/t2i_adapter |
| 43 | + title: T2I-Adapter |
| 44 | + - local: using-diffusers/dreambooth |
| 45 | + title: DreamBooth |
| 46 | + - local: using-diffusers/textual_inversion_inference |
| 47 | + title: Textual inversion |
| 48 | + title: Adapters |
| 49 | + isExpanded: false |
41 | 50 | - sections: |
42 | 51 | - local: using-diffusers/unconditional_image_generation |
43 | 52 | title: Unconditional image generation |
|
59 | 68 | title: Create a server |
60 | 69 | - local: training/distributed_inference |
61 | 70 | title: Distributed inference |
62 | | - - local: using-diffusers/merge_loras |
63 | | - title: Merge LoRAs |
64 | 71 | - local: using-diffusers/scheduler_features |
65 | 72 | title: Scheduler features |
66 | 73 | - local: using-diffusers/callback |
|
97 | 104 | title: SDXL Turbo |
98 | 105 | - local: using-diffusers/kandinsky |
99 | 106 | title: Kandinsky |
100 | | - - local: using-diffusers/ip_adapter |
101 | | - title: IP-Adapter |
102 | 107 | - local: using-diffusers/omnigen |
103 | 108 | title: OmniGen |
104 | 109 | - local: using-diffusers/pag |
105 | 110 | title: PAG |
106 | | - - local: using-diffusers/controlnet |
107 | | - title: ControlNet |
108 | | - - local: using-diffusers/t2i_adapter |
109 | | - title: T2I-Adapter |
110 | 111 | - local: using-diffusers/inference_with_lcm |
111 | 112 | title: Latent Consistency Model |
112 | | - - local: using-diffusers/textual_inversion_inference |
113 | | - title: Textual inversion |
114 | 113 | - local: using-diffusers/shap-e |
115 | 114 | title: Shap-E |
116 | 115 | - local: using-diffusers/diffedit |
|
180 | 179 | title: Quantization Methods |
181 | 180 | - sections: |
182 | 181 | - local: optimization/fp16 |
183 | | - title: Speed up inference |
| 182 | + title: Accelerate inference |
184 | 183 | - local: optimization/memory |
185 | 184 | title: Reduce memory usage |
186 | 185 | - local: optimization/torch2.0 |
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