Gemini 3.1 Flash Image

Google's Gemini 3.1 Flash image generation model, combining fast generation speed with excellent image quality for efficient creation.

Try it Online

Test in Playground ↗ · View Models ↗

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://open.dieyuyun.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.images.generate(
    model="gemini-3.1-flash-image",
    prompt="A cozy coffee shop interior with warm lighting and bookshelves",
    size="1024x1024",
    n=1
)

print(response.data[0].url)

Endpoint

Item	Value
Method	POST
Path	/v1/images/generations
Base URL	https://open.dieyuyun.com
Protocol	OpenAI Images API

Authentication

Bearer Token: Authorization: Bearer YOUR_API_KEY

Standard Request Fields

Field	Type	Required	Default	Description
model	string	Yes	—	Model identifier: gemini-3.1-flash-image
prompt	string	Yes	—	Image description text
size	string	No	1024x1024	Image size
quality	string	No	standard	Generation quality: standard, hd
n	integer	No	1	Number of images to generate
response_format	string	No	url	Response format: url or b64_json

Supported Sizes

Size	Aspect Ratio	Description
1024x1024	1:1	Square
1536x1024	3:2	Landscape
1024x1536	2:3	Portrait

Request Examples

cURL

curl https://open.dieyuyun.com/v1/images/generations \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-flash-image",
    "prompt": "A cozy coffee shop interior with warm lighting and bookshelves",
    "size": "1024x1024",
    "n": 1
  }'

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://open.dieyuyun.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.images.generate(
    model="gemini-3.1-flash-image",
    prompt="A cozy coffee shop interior with warm lighting and bookshelves",
    size="1024x1024",
    n=1
)

print(response.data[0].url)

Node.js

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://open.dieyuyun.com/v1',
  apiKey: 'YOUR_API_KEY',
})

const response = await client.images.generate({
  model: 'gemini-3.1-flash-image',
  prompt: 'A cozy coffee shop interior with warm lighting and bookshelves',
  size: '1024x1024',
  n: 1,
})

console.log(response.data[0].url)

Response Format

Success Response

{
  "created": 1717000000,
  "data": [
    {
      "url": "https://...",
      "revised_prompt": "A warm and inviting coffee shop interior with exposed brick walls, wooden bookshelves filled with books, pendant lighting casting a golden glow, comfortable seating areas with leather armchairs"
    }
  ]
}

Field	Type	Description
created	integer	Unix timestamp
data	array	Array of generated results
data[].url	string	Image URL
data[].revised_prompt	string	The revised/optimized prompt used for generation

Error Response

See Error Codes for details.

Best Practices

• Speed-first: The Gemini Flash series is known for fast generation speed, making it ideal for rapid iteration and high-volume image generation scenarios.
• Detailed descriptions: Gemini models have strong scene comprehension. Provide detailed descriptions of the environment, lighting, and atmosphere for better results.
• Multilingual prompts: Supports Chinese, English, and other languages. Choose the language that best fits your needs.
• Cost-effective: Strikes a good balance between image quality and generation speed, suitable for everyday image creation needs.
• Batch creation: Leverage the fast generation advantage by using the n parameter to quickly explore different creative directions.

Rate Limits

See Rate Limits for details.

Related Documentation

• GPT Image 2 - OpenAI image generation model
• Grok Imagine - xAI image generation model
• Model List & Pricing - Browse available models and pricing
• Playground - Test image generation interactively