Update README.md

README.md

@@ -1,3 +1,61 @@
----
-license: apache-2.0
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+---
+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://www.modelscope.cn/models/TuringEvo/tiny-sd-gguf/resolve/master/tiny_sd_output-q4_K.png)
+
+q8_0:
+![tiny_sd_output-q8_0.png](https://www.modelscope.cn/models/TuringEvo/tiny-sd-gguf/resolve/master/tiny_sd_output-q8_0.png)
+
+
+
+