vault backup: 2024-09-06 18:09:55

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_posts/pool/2024-09-06-windows无cpu启动stable-diffusion API接口.md

@@ -0,0 +1,109 @@
+---
+title: windows无cpu启动stable-diffusion-webui
+author: X
+date: 2024-09-06 10:27:50 +0800
+categories: 
+tags:
+---
+# 参考文档
+[【奶奶看了也不会】AI绘画 Mac安装stable-diffusion-webui绘制AI妹子保姆级教程](https://zhuanlan.zhihu.com/p/609620596)
+[新手向，Stable Diffusion API 接口，在本地调用](https://blog.csdn.net/qq_36645932/article/details/130183786)
+
+# 写在前面
+本文关于sd-webui的cpu部署部分，是基于参考文档的windows版修正，前半部分操作一致，但由于咱们算是开发人员，因此过于小白的步骤在此一带而过了，原文写得已经很详细。
+
+# CPU部署
+
+## 准备工作
+
+- Python3.10.6版本（已安装其他版本也不要紧，X使用的就是3.11）
+- stable-diffusion-webui代码下载，下载地址：[https://github.com/AUTOMATIC1111/stable-diffusion-webui](https://link.zhihu.com/?target=https%3A//github.com/AUTOMATIC1111/stable-diffusion-webui)
+
+## 安装
+
+### 依赖安装
+
+1. conda环境创建，此处不赘述
+2. 启动环境，从github上把stable-diffusion-webui的[源代码](https://zhida.zhihu.com/search?q=%E6%BA%90%E4%BB%A3%E7%A0%81&zhida_source=entity&is_preview=1)下载下来，进入到stable-diffusion-webui目录下，执行↓
+```bash
+ pip install -r requirements_versions.txt
+```
+
+### 模型安装（下载）
+
+所谓模型安装其实就是下载到指定文件夹。
+
+**官方模型下载（checkpoint模型）**
+
+下载地址：[https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://link.zhihu.com/?target=https%3A//huggingface.co/CompVis/stable-diffusion-v-1-4-original)
+
+下载 `sd-v1-4.ckpt` 或者 `[sd-v1-4-full-ema.ckpt](https://zhida.zhihu.com/search?q=sd-v1-4-full-ema.ckpt&zhida_source=entity&is_preview=1)`。
+
+**LoRA模型**
+
+下载地址：[https://civitai.com/models/6424](https://link.zhihu.com/?target=https%3A//civitai.com/models/6424/chilloutmix)
+
+- 对于**checkpoint模型**，请移动到`stable-diffusion-webui/models/Stable-diffusion`⽬录下
+- 对于**LoRA模型**，请移动到`stable-diffusion-webui/models/Lora`目录下（没有就自己新建一个）
+- 其他模型按对应的类型移到对应的目录下
+
+## 运行项目（与原文有所不同）
+
+### **修改lanuch.py文件**
+
+在原文件开头添加：
+```python
+import os
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+```
+
+这个是在本身使用代理服务的基础上修改代理设置，否则会报错：
+```bash
+ValueError: When localhost is not accessible, a shareable link must be created. Please set share=True or check your proxy settings to allow access to localhost.
+```
+
+如果没挂代理，忽略这个设置也没问题。
+
+>参考文档：[ ValueError: When localhost is not accessible, a shareable link must be created. Please set share=True.](https://github.com/chenfei-wu/TaskMatrix/issues/250)
+
+### **运行项目**
+
+stable diffusion在windows部署（CPU版）
+```bash
+python launch.py --skip-torch-cuda-test --no-half --api
+```
+
+这里面前两个启动参数，都测试过了，没有就会报错启动不了。最后一个`--api`，不确定如果没有的话会不会影响api调用，估计会吧！
+
+# API接口
+
+与参考文档基本一致，区别是，使用代理的情况下，同样需要添加`no_proxy`环境变量，最终的调用demo如下：
+
+```python
+import os
+import io
+import base64
+from PIL import Image
+
+os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+import requests
+
+url = "http://127.0.0.1:7860"
+
+payload = {"prompt": "puppy dog", "steps": 5}
+
+response = requests.post(url=f"{url}/sdapi/v1/txt2img", json=payload)
+
+if response.status_code == 200:
+    r = response.json()
+
+    for i in r["images"]:
+        image = Image.open(io.BytesIO(base64.b64decode(i.split(",", 1)[0])))
+        image.save("output.png")
+else:
+    print(response.status_code, response.reason)
+    print("response.text:", response.text)
+```
+
+跑了一下，效果还是蛮可以的，半分钟一张图。