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colomi
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import os
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import uuid
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import requests
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from flask import Flask, request, jsonify
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from urllib.parse import urlparse
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from volcenginesdkarkruntime import Ark
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import json
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app = Flask(__name__)
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# 请确保您已将 API Key 存储在环境变量 ARK_API_KEY 中
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# 初始化Ark客户端，从环境变量中读取您的API Key
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client = Ark(
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# 此为默认路径，您可根据业务所在地域进行配置
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base_url="https://ark.cn-beijing.volces.com/api/v3",
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# 从环境变量中获取您的 API Key。此为默认方式，您可根据需要进行修改
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# api_key=os.environ.get("ARK_API_KEY"),
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api_key='14fc0280-fc65-462d-ac2d-50178c0212e3'
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)
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def parse_facial_data(data_str):
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print(f'原始字符串 {data_str}')
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# 去除多余的标记和换行符
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json_str_clean = data_str.strip('```json\n').strip('```').strip()
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# 转换为Python字典
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data = json.loads(json_str_clean)
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s = data['面部年龄']
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s = s.replace('岁', '')
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parts = s.split('-')
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start_age = int(parts[0])
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end_age = int(parts[1])
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data['start_age'] = start_age
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data['end_age'] = end_age
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return data
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def GetPicDesc(img_url):
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response = client.chat.completions.create(
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# 指定您创建的方舟推理接入点 ID，此处已帮您修改为您的推理接入点 ID
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model="doubao-1.5-vision-pro-250328",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": img_url
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},
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},
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{"type": "text", "text": "告诉我图片中的服装长度, 只要答案, 选项有(腰部以上、腰、跨、大腿上部1/3、大腿中部、膝盖、小腿、小腿上部1/3、脚踝、拖地、难以辨认)"},
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],
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}
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],
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)
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text = response.choices[0].message.content
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result = {}
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try:
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result = parse_facial_data(text)
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except:
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print(f'Error {text}')
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return result
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# ComfyUI 的 input 目录路径（根据实际修改）
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COMFYUI_INPUT_DIR = "/path/to/ComfyUI/input"
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os.makedirs(COMFYUI_INPUT_DIR, exist_ok=True)
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def get_file_extension(url_or_filename):
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"""从 URL 或文件名中提取扩展名（如 .jpg、.png）"""
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# 处理 URL 情况（如 https://example.com/image.jpg?width=200）
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if url_or_filename.startswith(('http://', 'https://')):
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parsed = urlparse(url_or_filename)
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path = parsed.path
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else:
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path = url_or_filename
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# 提取扩展名（转换为小写，去掉问号后的参数）
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ext = os.path.splitext(path)[1].lower().split('?')[0]
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return ext if ext else '.png' # 默认 PNG（如果无法提取）
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def save_image_from_url(image_url):
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"""从 URL 下载图片并保留原始格式"""
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try:
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response = requests.get(image_url, stream=True)
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response.raise_for_status()
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# 获取原始图片格式
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ext = get_file_extension(image_url)
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filename = f"{uuid.uuid4()}{ext}"
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save_path = os.path.join(COMFYUI_INPUT_DIR, filename)
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with open(save_path, "wb") as f:
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for chunk in response.iter_content(1024):
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f.write(chunk)
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return filename
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except Exception as e:
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print(f"Error saving image from URL: {e}")
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return None
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@app.route('/change_cloth', methods=['POST'])
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def change_cloth():
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"""从 URL 下载图片"""
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data = request.json
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human_url = data.get("human_url")
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if not human_url:
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return jsonify({"error": "Missing 'human_url' parameter"}), 400
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human_filename = save_image_from_url(human_url)
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if not human_filename:
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return jsonify({"error": "Failed to download or save human image"}), 500
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cloth_url = data.get("cloth_url")
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if not cloth_url:
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return jsonify({"error": "Missing 'cloth_url' parameter"}), 400
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cloth_filename = save_image_from_url(cloth_url)
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if not cloth_filename:
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return jsonify({"error": "Failed to download or save image"}), 500
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return jsonify({"filename": cloth_filename})
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@app.route('/upload_image', methods=['POST'])
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def upload_image():
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"""直接上传图片（保留原始格式）"""
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if 'file' not in request.files:
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return jsonify({"error": "No file uploaded"}), 400
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file = request.files['file']
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if file.filename == '':
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return jsonify({"error": "Empty filename"}), 400
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# 获取原始文件扩展名
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ext = os.path.splitext(file.filename)[1].lower()
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if not ext: # 如果无扩展名，默认 PNG
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ext = '.png'
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# 生成唯一文件名（保留原始格式）
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filename = f"{uuid.uuid4()}{ext}"
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save_path = os.path.join(COMFYUI_INPUT_DIR, filename)
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file.save(save_path)
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return jsonify({"filename": filename})
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if __name__ == '__main__':
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app.run(host="0.0.0.0", port=5000, debug=True)
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@@ -0,0 +1,73 @@
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import requests
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import time
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import json
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import os
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import uuid
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from urllib.parse import urlparse
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def get_file_extension(url_or_filename):
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"""从 URL 或文件名中提取扩展名（如 .jpg、.png）"""
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# 处理 URL 情况（如 https://example.com/image.jpg?width=200）
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if url_or_filename.startswith(('http://', 'https://')):
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parsed = urlparse(url_or_filename)
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path = parsed.path
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else:
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path = url_or_filename
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# 提取扩展名（转换为小写，去掉问号后的参数）
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ext = os.path.splitext(path)[1].lower().split('?')[0]
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return ext if ext else '.png' # 默认 PNG（如果无法提取）
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def RequestImgAndSave(image_url):
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response = requests.get(image_url, stream=True)
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response.raise_for_status()
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# 获取原始图片格式
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ext = get_file_extension(image_url)
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filename = f"{uuid.uuid4()}{ext}"
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save_path = os.path.join(COMFYUI_INPUT_DIR, filename)
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with open(save_path, "wb") as f:
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for chunk in response.iter_content(1024):
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f.write(chunk)
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# 1. 提交任务
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#RequestImgAndSave("https://example.com/image.jpg")
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with open('/home/szlc/code/ComfyUI/change_cloth/change_bak_api.json', 'r', encoding='utf-8') as file:
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prompt_text = file.read()
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prompt = json.loads(prompt_text)
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#set the text prompt for our positive CLIPTextEncode
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# prompt["6"]["inputs"]["text"] = "one girl"
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#set the seed for our KSampler node
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# prompt["3"]["inputs"]["seed"] = 5
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# prompt["9"]["inputs"]["image"] = "cloth_long.png"
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prompt["102"]["inputs"]["filename_prefix"] = "xiangsilian"
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p = {"prompt": prompt}
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data = json.dumps(p).encode('utf-8')
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response = requests.post("http://localhost:8188/prompt", data=data)
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prompt_id = response.json()["prompt_id"]
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# 2. 轮询队列，直到任务完成
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while True:
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queue = requests.get("http://localhost:8188/queue").json()
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print(queue)
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if not queue["queue_running"] and not queue["queue_pending"]:
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break # 队列为空，任务已完成
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time.sleep(0.5) # 避免频繁请求
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# 3. 从历史记录中获取结果
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history = requests.get("http://localhost:8188/history").json()
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print("History:", history)
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outputs = history[prompt_id]["outputs"]
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print("Generated outputs:", outputs)
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