图片生成

import os
import requests

url = "https://api.minimax.cn/v1/images/generations"
api_key = os.environ.get("MINIMAX_API_KEY")
headers = {"Authorization": f"Bearer {api_key}"}

payload = {
    "model": "MiniMax-H3-Image",
    "prompt": "一只橘猫趴在窗台上晒太阳，午后暖光，胶片质感",
    "size": "2720x1536",
    "n": 1,
    "response_format": "url",
}

response = requests.post(url, headers=headers, json=payload, timeout=600)
response.raise_for_status()

result = response.json()
ext = result["output_format"]

# 链接有效期 24 小时，请下载后自行保存
for i, item in enumerate(result["data"]):
    if "error" in item:
        print(f"第 {i} 张失败：{item['error']['message']}")
        continue
    with open(f"output-{i}.{ext}", "wb") as f:
        f.write(requests.get(item["url"]).content)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.minimax.cn/v1",
    api_key=os.environ.get("MINIMAX_API_KEY"),
    timeout=600,
    max_retries=0,  # 接口不支持幂等，关闭自动重试，避免重复生成与计费
)

result = client.images.generate(
    model="MiniMax-H3-Image",
    prompt="一只橘猫趴在窗台上晒太阳，午后暖光，胶片质感",
    size="2720x1536",
    response_format="url",
)

for i, item in enumerate(result.data):
    print(i, item.url)  # 生成失败的图片 url 为 None

import os
import requests

url = "https://api.minimax.cn/v1/images/edits"
api_key = os.environ.get("MINIMAX_API_KEY")
headers = {"Authorization": f"Bearer {api_key}"}

payload = {
    "model": "MiniMax-H3-Image",
    "prompt": "把图1里的猫换成图2里的柴犬，保持背景不变",
    "images": [
        {"image_url": "https://example.com/cat.jpg"},
        {"image_url": "https://example.com/dog.png"},
    ],
    "size": "auto",
    "response_format": "url",
}

response = requests.post(url, headers=headers, json=payload, timeout=600)
response.raise_for_status()

result = response.json()
ext = result["output_format"]

# 链接有效期 24 小时，请下载后自行保存
for i, item in enumerate(result["data"]):
    if "error" in item:
        print(f"第 {i} 张失败：{item['error']['message']}")
        continue
    with open(f"output-{i}.{ext}", "wb") as f:
        f.write(requests.get(item["url"]).content)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.minimax.cn/v1",
    api_key=os.environ.get("MINIMAX_API_KEY"),
    timeout=600,
    max_retries=0,  # 接口不支持幂等，关闭自动重试，避免重复生成与计费
)

# 参考图以文件上传，列表顺序即 Picture 编号
result = client.images.edit(
    model="MiniMax-H3-Image",
    image=[open("cat.jpg", "rb"), open("dog.png", "rb")],
    prompt="把图1里的猫换成图2里的柴犬，保持背景不变",
    size="auto",
    response_format="url",
)

for i, item in enumerate(result.data):
    print(i, item.url)  # 生成失败的图片 url 为 None

import json
import os
import requests

url = "https://api.minimax.cn/v1/images/generations"
headers = {"Authorization": f"Bearer {os.environ.get('MINIMAX_API_KEY')}"}

payload = {
    "model": "MiniMax-H3-Image",
    "prompt": "一只橘猫趴在窗台上晒太阳，午后暖光，胶片质感",
    "size": "2720x1536",
    "n": 3,
    "stream": True,
}

with requests.post(url, headers=headers, json=payload, stream=True, timeout=600) as response:
    response.raise_for_status()
    for line in response.iter_lines(decode_unicode=True):
        if not line or not line.startswith("data:"):
            continue
        event = json.loads(line[len("data:"):])
        event_type = event["type"]
        if event_type.endswith(".partial_succeeded"):
            print(event["image_index"], event["url"])
        elif event_type.endswith(".partial_failed"):
            print(event["image_index"], event["message"])
        elif event_type.endswith(".completed"):
            print(event["usage"])
        elif event_type == "error":
            raise RuntimeError(event["error"]["message"])