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。
125 lines
3.4 KiB
Python
125 lines
3.4 KiB
Python
import requests
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import json
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from common.logger import config
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version = config.get('default', 'version')
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if version == "local":
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current_photo_service_url = 'http://192.168.1.57:32678/'
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else:
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current_photo_service_url = 'http://0.0.0.0:32678/'
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def call_hair_infer(task_id, hair_id, hair_material_dir, infer_req, is_hr, inference_port):
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url = f"{current_photo_service_url}api/hair/inference"
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payload = json.dumps({
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"task_id": task_id,
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"hair_id": hair_id,
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"hd_version_flag":is_hr,
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"hair_material_dir": hair_material_dir,
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"request_json": infer_req,
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"inference_port": inference_port
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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# print(response.json())
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return response.json()
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def call_hair_infer_diy(task_id, infer_req, inference_port):
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url = f"{current_photo_service_url}api/hair/inference_diy"
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payload = json.dumps({
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"task_id": task_id,
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"request_json": infer_req,
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"inference_port": inference_port
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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# print(response.json())
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return response.json()
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def call_hair_enhance(img_path, mask_path, task_id, in_gender):
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url = "http://127.0.0.1:7393/hairEnhance/v1"
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payload = json.dumps({
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"img_path": img_path,
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"mask_path": mask_path,
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"req_id": task_id,
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"gender": in_gender
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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# print(response.json())
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return response.json()
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def face_info(img_path):
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url = "http://127.0.0.1:7393/faceInfo/v1"
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payload = json.dumps({
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"img": img_path,
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"userId": 'fff',
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"isLocal": True,
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.json())
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return response.json()
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def is_same(img_url1, img_url2):
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url = "http://127.0.0.1:7393/faceInfo/same"
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payload = json.dumps({
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"img_url1": img_url1,
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"img_url2": img_url2,
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# "isLocal": True,
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.json())
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return response.json()
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def hair_select(img_url):
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url = "http://127.0.0.1:7393/hairStyle/hair_select"
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payload = json.dumps({
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"img_url": img_url,
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# "isLocal": True,
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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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# print("---call infer payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.json())
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return response.json()
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# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/hairstyle/fb7d7a58-3228-40f2-84a6-337088ee31e2/2023031623425988.jpg'
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# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/vaffflue12.png'
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# hair_select(test_url) |