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docs/source/finetune/train_sd_lora.md

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+# 训练 Stable Diffusion LoRA
+
+训练脚本只需要一个文件。我们支持 [CivitAI](https://civitai.com/) 中的主流检查点。默认情况下，我们使用基础的 Stable Diffusion v1.5。你可以从 [HuggingFace](https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors) 或 [ModelScope](https://www.modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5/resolve/master/v1-5-pruned-emaonly.safetensors) 下载。你可以使用以下代码下载这个文件：
+
+```python
+from diffsynth import download_models
+
+download_models(["StableDiffusion_v15"])
+```
+
+```
+models/stable_diffusion
+├── Put Stable Diffusion checkpoints here.txt
+└── v1-5-pruned-emaonly.safetensors
+```
+
+使用以下命令启动训练任务：
+
+```
+CUDA_VISIBLE_DEVICES="0" python examples/train/stable_diffusion/train_sd_lora.py \
+  --pretrained_path models/stable_diffusion/v1-5-pruned-emaonly.safetensors \
+  --dataset_path data/dog \
+  --output_path ./models \
+  --max_epochs 1 \
+  --steps_per_epoch 500 \
+  --height 512 \
+  --width 512 \
+  --center_crop \
+  --precision "16-mixed" \
+  --learning_rate 1e-4 \
+  --lora_rank 4 \
+  --lora_alpha 4 \
+  --use_gradient_checkpointing
+```
+
+有关参数的更多信息，请使用 `python examples/train/stable_diffusion/train_sd_lora.py -h` 查看详细信息。
+
+训练完成后，使用 `model_manager.load_lora` 加载 LoRA 以进行推理。
+
+
+
+```python
+from diffsynth import ModelManager, SDImagePipeline
+import torch
+
+model_manager = ModelManager(torch_dtype=torch.float16, device="cuda",
+                             file_path_list=["models/stable_diffusion/v1-5-pruned-emaonly.safetensors"])
+model_manager.load_lora("models/lightning_logs/version_0/checkpoints/epoch=0-step=500.ckpt", lora_alpha=1.0)
+pipe = SDImagePipeline.from_model_manager(model_manager)
+
+torch.manual_seed(0)
+image = pipe(
+    prompt="a dog is jumping, flowers around the dog, the background is mountains and clouds", 
+    negative_prompt="bad quality, poor quality, doll, disfigured, jpg, toy, bad anatomy, missing limbs, missing fingers, 3d, cgi, extra tails",
+    cfg_scale=7.5,
+    num_inference_steps=100, width=512, height=512,
+)
+image.save("image_with_lora.jpg")
+```