colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
import requests
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import cv2
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import numpy as np
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import base64
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import sys
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import json
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if __name__ == '__main__':
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path = './data/template01.png'
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img = cv2.imread(path)
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retval, bytes = cv2.imencode('.jpg', img)
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encoded_image = base64.b64encode(bytes).decode('utf-8')
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user_id = '61AB9097'
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#给api_service.py发送请求
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url = "http://i-2.gpushare.com:53412/user/generate"
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payload = json.dumps({
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"user_id": "61AB9097",
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"base_img": encoded_image
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})
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headers = {
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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if response.status_code != 200:
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raise RuntimeError(f"Failed to send request to API service. Status code: {response.status_code}")
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ret_image_b64 = response.json().get('generate_photo_b64')
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if ret_image_b64 is None:
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raise RuntimeError(f"ret image failed!")
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image_array = np.frombuffer(base64.b64decode(ret_image_b64), np.uint8)
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image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
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cv2.imshow('image', cv2.resize(image, (0, 0), fx=0.5, fy=0.5))
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cv2.waitKey() |