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import time
import jwt
import requests
import json
import base64
import os
def image_to_base64(image_path):
"""
将图片文件转换为Base64编码格式
:param image_path: 图片文件路径
:return: Base64编码字符串
"""
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode('utf-8')
ak = "c1748494bc5d42ed8db2b2d24ceb1a2b" # 填写access key
sk = "1cf0bbef768746f79d30ef13630b393b" # 填写secret key
def encode_jwt_token(ak, sk):
headers = {
"alg": "HS256",
"typ": "JWT"
}
payload = {
"iss": ak,
"exp": int(time.time()) + 1800, # 有效时间,此处示例代表当前时间+1800s(30min)
"nbf": int(time.time()) - 5 # 开始生效的时间,此处示例代表当前时间-5秒
}
token = jwt.encode(payload, sk, headers=headers)
return token
# 图片及回调配置
# HUMAN_IMAGE = image_to_base64(r"F:\codetest24\0903_lf\vton\people.jpg") # 替换为人物图片的Base64或URL
# CLOTH_IMAGE = image_to_base64(r"F:\codetest24\0903_lf\vton\hanfu.jpg") # 替换为服饰图片的Base64或URL
# CALLBACK_URL = "" # 可选,任务结果回调通知URL
SAVE_DIRECTORY = "downloads/kolor"
BASE_URL = "https://api.klingai.com/v1/images/kolors-virtual-try-on"
# ========== 步骤 1:创建虚拟试穿任务 ==========
def create_virtual_tryon_task(humen, cloth, HEADERS):
"""
创建虚拟试穿任务
"""
# ========== 配置参数 ==========
# 请求体数据
data = {
"model_name": "kolors-virtual-try-on-v1",
"human_image": image_to_base64(humen),
"cloth_image": image_to_base64(cloth),
}
# 发起POST请求创建任务
response = requests.post(BASE_URL, headers=HEADERS, data=json.dumps(data))
# 处理响应
if response.status_code == 200:
result = response.json()
task_id = result['data']['task_id']
print(f"创建任务成功,任务ID: {task_id}")
return task_id
else:
print(f"创建任务失败: {response.status_code}, {response.text}")
return None
# ========== 步骤 2:查询单个虚拟试穿任务状态并保存图片 ==========
def query_virtual_tryon_task(task_id, i, HEADERS):
"""
根据任务ID查询任务状态,成功后保存生成的图片
"""
# 请求URL
url = f"{BASE_URL}/{task_id}"
# 发起GET请求查询任务状态
response = requests.get(url, headers=HEADERS)
# 处理响应
if response.status_code == 200:
result = response.json()
task_status = result['data']['task_status']
print(f"任务状态: {task_status}")
# 如果任务成功,下载并保存生成的图片
if task_status == 'succeed':
images = result['data']['task_result']['images']
for image in images:
image_url = image['url']
image_index = i
save_image(image_url, image_index)
# 返回任务状态
return task_status
else:
print(f"查询任务失败: {response.status_code}, {response.text}")
return None
# ========== 步骤 3:下载并保存图片 ==========
def save_image(image_url, image_index):
"""
根据图片URL下载并保存到本地
"""
response = requests.get(image_url)
if response.status_code == 200:
# 保存图片到本地
image_path = os.path.join(SAVE_DIRECTORY, f"kolor_{image_index}.png")
with open(image_path, "wb") as file:
file.write(response.content)
print(f"图片已保存到: {image_path}")
else:
print(f"下载图片失败: {response.status_code}, {response.text}")
# ========== 步骤 4:查询任务列表 ==========
def query_task_list(page_num=1, page_size=30, HEADERS=None):
"""
查询任务列表
"""
# 查询参数
params = {
"pageNum": page_num,
"pageSize": page_size
}
# 发起GET请求查询任务列表
response = requests.get(BASE_URL, headers=HEADERS, params=params)
# 处理响应
if response.status_code == 200:
result = response.json()
print("任务列表:")
for task in result['data']:
print(f"任务ID: {task['task_id']}, 状态: {task['task_status']}, 创建时间: {task['created_at']}")
else:
print(f"查询任务列表失败: {response.status_code}, {response.text}")
# ========== 主流程 ==========
def kolor_vton(humen, cloth, i):
# API 请求的基础配置
api_token = encode_jwt_token(ak, sk)
print(api_token) # 打印生成的API_TOKEN
# 请求头
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_token}"
}
# 1. 创建虚拟试穿任务
task_id = create_virtual_tryon_task(humen, cloth, HEADERS)
# 如果任务创建成功,继续执行查询步骤
if task_id:
# 2. 定期查询该任务状态,直到任务完成
while True:
status = query_virtual_tryon_task(task_id, i, HEADERS)
if status in ['succeed', 'failed']:
break
print("任务正在处理中,等待5秒后重试...")
time.sleep(5) # 等待5秒后重试
# 3. 查询任务列表
query_task_list(page_num=1, page_size=10, HEADERS=HEADERS)
# kolor_vton("uploads/user_image.jpg", "uploads/user_image.jpg", 1) |