311 lines
11 KiB
Python
311 lines
11 KiB
Python
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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import json
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import base64
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import time
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from PIL import Image
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from datetime import datetime
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from volcenginesdkarkruntime import Ark
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import shutil
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APP_ROOT = os.path.dirname(os.path.abspath(__file__))
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STATIC_FOLDER = os.path.join(APP_ROOT, 'static')
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app = Flask(__name__)
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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 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": "图片是一件服装的照片，返回为json格式， 第一个字段'服装长度', 图片中的服装穿到正常人身上的长度会覆盖到人体的哪个部位, 只要答案, 选项有(胸、腰、跨、大腿、膝盖、小腿、脚踝、拖地、难以辨认). 第二个字段'衣袖'，只要答案，选项有(短袖、长袖)"},
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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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print(text)
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return text
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def change(human_name, cloth_name, c_width, c_height, cloth_url):
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json_str = GetPicDesc(cloth_url)
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json_data = json.loads(json_str)
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cloth_len = json_data['服装长度']
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cloth_short = True
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if '长袖' in json_data['衣袖']:
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cloth_short = False
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if cloth_len == '难以辨认':
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return None, "get image type error"
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queue = requests.get("http://localhost:8188/queue").json()
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if queue["queue_running"] or queue["queue_pending"]:
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return None, "cur gpu is busy"
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with open('/home/szlc/code/ComfyUI/change_cloth/change_new.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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prompt["96"]["inputs"]["cloth_len"] = cloth_len
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prompt["96"]["inputs"]["cloth_short"] = cloth_short
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# prompt["99"]["inputs"]["width"] = int((c_width/c_height) * 1024)
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#input cloth img
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prompt["22"]["inputs"]["image"] = cloth_name
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#input human img
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prompt["61"]["inputs"]["image"] = human_name
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#out put name
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out_img_name = str(uuid.uuid4())[:8]
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prompt["102"]["inputs"]["filename_prefix"] = out_img_name
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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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for out in outputs:
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if 'images' in outputs[out]:
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for out_img in outputs[out]['images']:
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if 'filename' in out_img:
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out_img_file_name = out_img['filename']
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if out_img_name in out_img_file_name:
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return out_img_file_name, "success"
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return None, "can not find output image"
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def save_base64_image(base64_str, prefix):
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"""
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将base64字符串保存为图片文件
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:param base64_str: 带有类型标识的base64字符串
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:param prefix: 文件名前缀
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:return: 保存的文件路径
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"""
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try:
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# 分离base64头部和实际数据
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header, data = base64_str.split(',', 1)
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# 从头部获取文件扩展名
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file_ext = ''
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if 'image/png' in header:
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file_ext = '.png'
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elif 'image/jpeg' in header:
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file_ext = '.jpg'
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elif 'image/jpg' in header:
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file_ext = '.jpg'
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elif 'image/gif' in header:
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file_ext = '.gif'
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else:
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file_ext = '.png' # 默认使用png
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# 生成唯一文件名
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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unique_id = str(uuid.uuid4())[:8]
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filename = f"{prefix}_{timestamp}_{unique_id}{file_ext}"
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filepath = os.path.join('/home/szlc/code/ComfyUI/change_cloth/static/imgs', filename)
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# 解码并保存图片
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with open(filepath, 'wb') as f:
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f.write(base64.b64decode(data))
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input_filepath = os.path.join('/home/szlc/code/ComfyUI/input', filename)
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# 解码并保存图片
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with open(input_filepath, 'wb') as f:
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f.write(base64.b64decode(data))
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return filename
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except Exception as e:
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print(f"Error saving image: {str(e)}")
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return None
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def get_image_dimensions(image_path):
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try:
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with Image.open(image_path) as img:
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width, height = img.size
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return width, height
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except Exception as e:
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print(f"Error: {e}")
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return None
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def image_to_base64(file_path, mime_type=None):
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if mime_type is None:
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extension = file_path.split('.')[-1].lower()
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mime_types = {
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'jpg': 'image/jpeg',
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'jpeg': 'image/jpeg',
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'png': 'image/png',
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'gif': 'image/gif',
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'webp': 'image/webp',
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'bmp': 'image/bmp'
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}
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mime_type = mime_types.get(extension, 'application/octet-stream')
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# 读取文件内容并编码为Base64
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with open(file_path, 'rb') as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
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# 组合成Data URI格式
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return f"data:{mime_type};base64,{encoded_string}"
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def process_change_cloth(human_filename, cloth_filename, output_format, img_url):
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w,h = get_image_dimensions(f'/home/szlc/code/ComfyUI/input/{human_filename}')
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out_put_name, msg = change(human_filename, cloth_filename, w, h, img_url)
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if out_put_name == None:
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print(f'Failed to change cloth {msg}')
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return jsonify({"ret":-1, 'msg': f'Failed to change cloth {msg}'}), 200
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image = Image.open(f'/home/szlc/code/ComfyUI/output/{out_put_name}')
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jpg_name = out_put_name.replace(".png", ".jpg")
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jpg_path_name = f'/home/szlc/code/ComfyUI/change_cloth/static/imgs/{jpg_name}'
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image.save(jpg_path_name, quality=95)
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if 'base64' in output_format:
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return jsonify({
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"ret":0,
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"msg":"success",
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"data":image_to_base64(jpg_path_name)
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})
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else:
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return jsonify({
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"ret":0,
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"msg":"success",
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"url":f"http://112.126.94.241:18888/static/imgs/{jpg_name}"
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})
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@app.route('/change_cloth_base64', methods=['POST'])
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def change_cloth_base64():
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# 获取参数
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data = request.get_json()
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if not data:
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return jsonify({"ret":-1,'msg': 'No JSON data provided'}), 400
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human_img = data.get('human_img')
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cloth_img = data.get('cloth_img')
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output_format = data.get('output_format')
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if not human_img or not cloth_img:
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return jsonify({"ret":-1, 'msg': 'Both human_img and cloth_img are required'}), 400
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try:
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# 保存人像图片
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human_filename = save_base64_image(human_img, 'human')
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if not human_filename:
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return jsonify({"ret":-1, 'msg': 'Failed to save human image'}), 500
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# 保存服装图片
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cloth_filename = save_base64_image(cloth_img, 'cloth')
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if not cloth_filename:
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return jsonify({"ret":-1, 'msg': 'Failed to save cloth image'}), 500
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img_url = f"http://112.126.94.241:18888/static/imgs/{cloth_filename}"
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return process_change_cloth(human_filename, cloth_filename, output_format, img_url)
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except Exception as e:
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return jsonify({"ret":-1, 'error': str(e)}), 500
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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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filepath = os.path.join('/home/szlc/code/ComfyUI/change_cloth/static/imgs', filename)
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with open(filepath, "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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input_filepath = os.path.join('/home/szlc/code/ComfyUI/input', filename)
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shutil.copy(filepath, input_filepath)
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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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output_format = data.get('output_format')
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return process_change_cloth(human_filename, cloth_filename, output_format, cloth_url)
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if __name__ == '__main__':
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app.run(host="0.0.0.0", port=8888, debug=True) |