图片生成

curl https://api.aiin1.ai/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "a red fox running in snow, studio lighting",
    "n": 1
  }'

curl https://api.aiin1.ai/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "a red fox running in snow, studio lighting",
    "size": "2560x1440",
    "n": 1
  }'

curl https://api.aiin1.ai/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2.5-flare",
    "prompt": "a red fox running in snow, studio lighting",
    "size": "1024x1024",
    "resolution": "2K",
    "n": 1
  }'

import openai
 
client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.aiin1.ai/v1",
)
 
resp = client.images.generate(
    model="gpt-image-2",
    prompt="a red fox running in snow, studio lighting",
    n=1,
)
b64 = resp.data[0].b64_json   # base64 编码的 PNG

resp = client.images.generate(
    model="gpt-image-2",
    prompt="a red fox running in snow, studio lighting",
    size="1024x1024",
    n=1,
    extra_body={"resolution": "2K"},
)

curl https://api.aiin1.ai/v1/images/edits \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "place the product from the first image onto the scene in the second image",
    "images": [
      "https://example.com/product.png",
      "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQ..."
    ],
    "size": "2560x1440",
    "response_format": "url"
  }'

curl https://api.aiin1.ai/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F image=@input.png \
  -F model=gpt-image-2.5-sunburst \
  -F prompt="turn the sky into a starry night, keep the fox unchanged" \
  -F resolution=2K

curl https://api.aiin1.ai/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "image[]=@product.png" \
  -F "image[]=@background.jpg" \
  -F model=gpt-image-2 \
  -F prompt="place the product from the first image onto the scene in the second image" \
  -F size=2560x1440

import base64
import openai
 
client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.aiin1.ai/v1",
    timeout=900,   # 图生图耗时较长,读超时至少 15 分钟
)
 
with open("input.png", "rb") as f:
    resp = client.images.edit(
        model="gpt-image-2.5-sunburst",
        image=f,                      # 多张参考图传列表: image=[f1, f2]
        prompt="turn the sky into a starry night, keep the fox unchanged",
        extra_body={"resolution": "2K"},
    )
 
with open("output.png", "wb") as out:
    out.write(base64.b64decode(resp.data[0].b64_json))

{
  "created": 1730000000,
  "data": [
    {
      "b64_json": "iVBORw0KGgoAAAANSUhEUgAA...",
      "revised_prompt": "..."
    }
  ],
  "usage": {
    "input_tokens": 18,
    "input_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 18
    },
    "output_tokens": 7024,
    "output_tokens_details": {
      "image_tokens": 7024,
      "text_tokens": 0
    },
    "total_tokens": 7042
  }
}

{
  "created": 1730000000,
  "data": [
    {
      "url": "https://<bucket>.r2.cloudflarestorage.com/...&X-Amz-Signature=...",
      "revised_prompt": "..."
    }
  ],
  "usage": { "...": "与上面相同" }
}

curl https://api.aiin1.ai/v1/images/generations/async \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "a red fox running in snow",
    "size": "2560x1440",
    "n": 1
  }'

{
  "id": "nximg_xxxxxxxx",
  "status": "queued",
  "created": 1730000000,
  "object": "image.generation.async"
}

curl https://api.aiin1.ai/v1/images/generations/async/nximg_xxxxxxxx \
  -H "Authorization: Bearer YOUR_API_KEY"

{ "id": "nximg_xxxxxxxx", "status": "processing", "created": 1730000000 }

{
  "id": "nximg_xxxxxxxx",
  "status": "succeeded",
  "created": 1730000000,
  "data": [
    {
      "url": "https://<bucket>.r2.cloudflarestorage.com/...&X-Amz-Signature=...",
      "revised_prompt": "..."
    }
  ],
  "usage": {
    "input_tokens": 18,
    "input_tokens_details": {
      "image_tokens": 0,
      "text_tokens": 18
    },
    "output_tokens": 7024,
    "output_tokens_details": {
      "image_tokens": 7024,
      "text_tokens": 0
    },
    "total_tokens": 7042
  }
}

{
  "id": "nximg_xxxxxxxx",
  "status": "failed",
  "created": 1730000000,
  "error": { "type": "upstream_error", "message": "generation failed", "code": "..." }
}

curl https://api.aiin1.ai/v1/images/edits/async \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F image=@input.png \
  -F model=gpt-image-2 \
  -F prompt="turn the sky into a starry night, keep the fox unchanged" \
  -F resolution=2K

{
  "id": "nximg_xxxxxxxx",
  "status": "queued",
  "created": 1730000000,
  "object": "image.edit.async"
}

curl https://api.aiin1.ai/v1/images/edits/async/nximg_xxxxxxxx \
  -H "Authorization: Bearer YOUR_API_KEY"

import time
import requests
 
API = "https://api.aiin1.ai/v1"
HEADERS = {"Authorization": "Bearer YOUR_API_KEY"}
 
# 1. 提交任务(多张参考图: files=[("image[]", f1), ("image[]", f2)])
with open("input.png", "rb") as f:
    job = requests.post(
        f"{API}/images/edits/async",
        headers=HEADERS,
        files=[("image", ("input.png", f, "image/png"))],
        data={
            "model": "gpt-image-2",
            "prompt": "turn the sky into a starry night, keep the fox unchanged",
            "resolution": "2K",
        },
        timeout=120,
    ).json()
 
# 2. 轮询结果
while True:
    r = requests.get(f"{API}/images/edits/async/{job['id']}", headers=HEADERS, timeout=30).json()
    if r["status"] in ("succeeded", "failed"):
        break
    time.sleep(3)
 
if r["status"] == "succeeded":
    img = requests.get(r["data"][0]["url"], timeout=120).content   # 链接约 2 小时有效
    open("output.png", "wb").write(img)
else:
    print(r["error"])