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第一版翻译完成,保留了getStart目录,有一些名词还是需要重新检查
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# 训练 Stable Diffusion LoRA
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# Training Stable Diffusion LoRA
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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:
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The training script only requires one file. We support mainstream checkpoints on [CivitAI](https://civitai.com/). By default, we use the basic Stable Diffusion v1.5. You can download it from [HuggingFace](https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors) or [ModelScope](https://www.modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5/resolve/master/v1-5-pruned-emaonly.safetensors). You can use the following code to download this file:
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```python
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from diffsynth import download_models
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└── v1-5-pruned-emaonly.safetensors
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```
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使用以下命令启动训练任务:
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To initiate the training process, please use the following command:
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```
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CUDA_VISIBLE_DEVICES="0" python examples/train/stable_diffusion/train_sd_lora.py \
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--use_gradient_checkpointing
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```
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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。
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训练完成后,使用 `model_manager.load_lora` 加载 LoRA 以进行推理。
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For more information about the parameters, please use `python examples/train/stable_diffusion/train_sd_lora.py -h` to view detailed information.
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After training is complete, use `model_manager.load_lora` to load LoRA for inference.
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```python
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