## Quickstart

### 构建镜像
```bash
docker build -t diffusers:v0.1 .
```

### 模型下载
模型地址：https://modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5
并放到目录：`/mnt/contest_ceph/zhanghao/models/stable-diffusion-v1-5`（如更改目录，请修改后面的执行脚本中的模型路径）

### 测试程序
1. 准备输入数据集，可以参考示例`dataset.json`
2. 在docker镜像里运行测试程序，会根据`dataset.json`内容，在`output`目录下生成图片文件。
```bash
./run_in_docker.sh
```

## 测试结果对比（A100 vs 昇腾910B）

### 数据集
数据集如下：
```json
[
    "A futuristic city skyline at sunset, with flying cars and neon lights, in cyberpunk style",
    "A traditional Chinese courtyard covered in snow, with red lanterns glowing warmly",
    "A portrait of a young woman in Renaissance style, oil painting with dramatic lighting",
    "A cute baby panda playing with bamboo in a watercolor illustration style",
    "A majestic dragon flying over mountains, depicted in traditional ink wash painting",
    "A cozy reading corner with bookshelves, a cat on the sofa, and sunlight streaming through the window",
    "A knight in silver armor riding a horse, fantasy concept art with epic background",
    "A bowl of ramen with detailed toppings, hyper-realistic food photography style",
    "An astronaut floating in space, reflected in the helmet visor is planet Earth",
    "A serene lake surrounded by autumn trees, painted in impressionist style"
]
```
### 测试结果

|  模型    | A100 平均生成时间（秒） | 昇腾910B 平均生成时间（秒） |
|------|-------------------------|----------------------------|
| AI-ModelScope/stable-diffusion-v1-5 | 1.6208                  | 7.2901                     |
| zhanghaohit/karlo-v1-alpha | 3.1624                  | 5.2920                     |
| AI-ModelScope/stable-diffusion-3.5-medium | 5.0231                  | 8.9607                     |
| stabilityai/stable-diffusion-3-medium-diffusers	 | 3.7976                  | 23.5929                    |