---
license: apache-2.0
---
### 我们的网站  
### Our website
[turingevo.com](https://turingevo.com)


欢迎使用我们的产品——开源免费的多模态AI笔记

Welcome to use our product - an open-source and free multimodal AI note-taking tool. 

### 本模型使用 [stable-diffusion.cpp](https://github.com/akleine/stable-diffusion.cpp/) 从 [turingevo/tiny-sd-safetensors](https://huggingface.co/turingevo/tiny-sd-safetensors) 转换
### This model uses [stable-diffusion.cpp](https://github.com/akleine/stable-diffusion.cpp/) to convert from [turingevo/tiny-sd-safetensors](https://huggingface.co/turingevo/tiny-sd-safetensors).

### stable-diffusion.cpp 直接运行此模型
### stable-diffusion.cpp can be directly run to execute this model


```
#!/bin/bash

# 设置模型路径和输出路径
TYPE='q4_K'
#TYPE='q8_0'
MODEL_DIR="/media/wmx/soft2/huggingface_cache/segmind/tiny-sd-gguf/segmind_tiny-sd-${TYPE}.gguf"
OUTPUT_IMAGE="tiny_sd_output-${TYPE}.png"

# Tiny-SD 本质是极小化的 SD 1.5 架构
# 尺寸必须是 512x512
# 采样器使用默认的 euler_a (或者 dpm++2m)
# CFG 7.0 是 SD 1.5 的标准值
sd-cli \
  -m  "$MODEL_DIR" \
  -W 512 -H 512 \
  --cfg-scale 7.0 \
  --steps 20 \
  --sampling-method euler_a \
  --diffusion-fa \
  -v \
  -o "$OUTPUT_IMAGE" \
  -p "a cute car, high quality" 

echo ""
if [ ! -f "$OUTPUT_IMAGE" ]; then
    echo "[错误] 图像生成失败，请检查上面的错误日志。"
    exit 1
fi
echo "生成完毕！图片保存在: $OUTPUT_IMAGE"
```


q4_K:
![tiny_sd_output-q4_K.png](https://huggingface.co/turingevo/tiny-sd-gguf/resolve/main/tiny_sd_output-q4_K.png)

q8_0:
![tiny_sd_output-q8_0.png](https://huggingface.co/turingevo/tiny-sd-gguf/resolve/main/tiny_sd_output-q8_0.png)