GPT-5 Image

from openai import OpenAI
import base64

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://routerai.ru/api/v1"
)

# 1) Диалоговая генерация через chat.completions — с контекстом диалога:
#    результат можно править следующими сообщениями
response = client.chat.completions.create(
    model="openai/gpt-5-image",
    messages=[
        {"role": "user", "content": "Generate an image of a sunset over mountains"}
    ]
)
print("Generated image:", response.choices[0].message.content)

# 2) One-shot генерация через images.generate — без контекста диалога
response = client.images.generate(
    model="openai/gpt-5-image",
    prompt="A serene sunset over mountains, digital art",
    n=1,
    extra_body={
        "aspect_ratio": "1:1",
        "quality": "auto",
        "background": "auto",
        # Image-to-image (правка/вариации): референсы — URL или data URI в base64
        "input_references": [
            {"type": "image_url",
             "image_url": {"url": "https://example.com/reference.png"}}
        ]
    }
)

for i, image in enumerate(response.data):
    with open(f"generated_image_{i}.png", "wb") as f:
        f.write(base64.b64decode(image.b64_json))
    print(f"Image saved to generated_image_{i}.png")

import requests
import json
import base64
import re

headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

# 1) Диалоговая генерация через /v1/chat/completions — с контекстом диалога:
#    результат можно править следующими сообщениями
data = {
    "model": "openai/gpt-5-image",
    "messages": [
        {"role": "user", "content": "Generate an image of a sunset over mountains"}
    ]
}

response = requests.post("https://routerai.ru/api/v1/chat/completions", headers=headers, json=data)
result = response.json()

if result.get('choices'):
    content = result['choices'][0]['message']['content']
    if content.startswith('data:image'):
        base64_data = re.sub('^data:image/.+;base64,', '', content)
        with open('chat_image.png', 'wb') as f:
            f.write(base64.b64decode(base64_data))
        print("Image saved to chat_image.png")

# 2) One-shot генерация через /v1/images — без контекста диалога
data = {
    "model": "openai/gpt-5-image",
    "prompt": "A serene sunset over mountains, digital art",
    "n": 1,
    "aspect_ratio": "1:1",
    "quality": "auto",
    "background": "auto",
    # Image-to-image (правка/вариации): референсы — URL или data URI в base64
    "input_references": [
        {"type": "image_url",
         "image_url": {"url": "https://example.com/reference.png"}}
    ]
}

response = requests.post("https://routerai.ru/api/v1/images", headers=headers, json=data)
result = response.json()

# Изображения возвращаются в base64 (data[].b64_json)
for i, image in enumerate(result.get("data", [])):
    with open(f"generated_image_{i}.png", "wb") as f:
        f.write(base64.b64decode(image["b64_json"]))
    print(f"Image saved to generated_image_{i}.png")

# Стоимость запроса в рублях
print("Cost (RUB):", result.get("usage", {}).get("cost"))

# 1) Диалоговая генерация через /v1/chat/completions — с контекстом диалога
curl -X POST "https://routerai.ru/api/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5-image",
    "messages": [
      {"role": "user", "content": "Generate an image of a sunset over mountains"}
    ]
  }'

# 2) One-shot генерация через /v1/images — без контекста диалога
# Image-to-image (правка/вариации): input_references — URL или data URI в base64.
curl -X POST "https://routerai.ru/api/v1/images" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5-image",
    "prompt": "A serene sunset over mountains, digital art",
    "n": 1,
    "aspect_ratio": "1:1",
    "quality": "auto",
    "background": "auto",
    "input_references": [
      {"type": "image_url",
       "image_url": {"url": "https://example.com/reference.png"}}
    ]
  }'