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zh/examples/stable_diffusion.md

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在本文中,我们会使用[SD-1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5)模型在[火影忍者](https://huggingface.co/datasets/lambdalabs/naruto-blip-captions)数据集上做训练,同时使用[SwanLab](https://swanlab.cn)监控训练过程、评估模型效果。
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- 代码:[Github](https://github.com/Zeyi-Lin/Stable-Diffusion-Example)
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- 实验日志过程:[SD-naruto - SwanLab](https://swanlab.cn/@ZeyiLin/SD-Naruto/runs/21flglg1lbnqo67a6f1kr/environment/requirements)
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- 实验日志过程:[SD-naruto - SwanLab](https://swanlab.cn/@ZeyiLin/SD-Naruto/runs/21flglg1lbnqo67a6f1kr)
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- 模型:[runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5)
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- 数据集:[lambdalabs/naruto-blip-captions](https://huggingface.co/datasets/lambdalabs/naruto-blip-captions)
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- SwanLab:[https://swanlab.cn](https://swanlab.cn)
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pip install swanlab diffusers datasets accelerate torchvision transformers
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```
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> 本文的代码测试于diffusers==0.29.0、accelerate==0.30.1、datasets==2.18.0、transformers==4.41.2、swanlab==0.3.11,更多库版本可查看[SwanLab记录的Python环境](https://swanlab.cn/@ZeyiLin/Text2Image/runs/21flglg1lbnqo67a6f1kr/environment/requirements)
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> 本文的代码测试于diffusers==0.29.0、accelerate==0.30.1、datasets==2.18.0、transformers==4.41.2、swanlab==0.3.11,更多库版本可查看[SwanLab记录的Python环境](https://swanlab.cn/@ZeyiLin/SD-Naruto/runs/21flglg1lbnqo67a6f1kr/environment/requirements)
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## 2.准备数据集

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