Images API

Two endpoints: Generate (text → image) and Edit (image + text → image). Both responses follow the OpenAI standard shape data[0].b64_json.

Gemini image models (e.g. google/gemini-3.1-flash-image-preview) on this endpoint only support generation, not editing. For editing, use the Gemini native protocol.

Generate images


POST https://api.ofox.io/v1/images/generations

With gpt-image-2

Python

gen.py


import base64
from openai import OpenAI
 
client = OpenAI(api_key="YOUR_OFOX_API_KEY", base_url="https://api.ofox.io/v1")
 
resp = client.images.generate(
    model="openai/gpt-image-2",
    prompt="A simple red apple on a white table",
    size="1024x1024",
    quality="low",
    output_format="png",
)
 
with open("output.png", "wb") as f:
    f.write(base64.b64decode(resp.data[0].b64_json))

TypeScript

gen.ts


import OpenAI from 'openai'
import fs from 'node:fs'
 
const client = new OpenAI({ apiKey: 'YOUR_OFOX_API_KEY', baseURL: 'https://api.ofox.io/v1' })
 
const resp = await client.images.generate({
  model: 'openai/gpt-image-2',
  prompt: 'A simple red apple on a white table',
  size: '1024x1024',
  quality: 'low',
  output_format: 'png',
})
 
fs.writeFileSync('output.png', Buffer.from(resp.data[0].b64_json!, 'base64'))

cURL

Terminal


curl -X POST 'https://api.ofox.io/v1/images/generations' \
  -H 'Authorization: Bearer YOUR_OFOX_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "openai/gpt-image-2",
    "prompt": "A simple red apple on a white table",
    "size": "1024x1024",
    "quality": "low",
    "output_format": "png"
  }'

Sample output:

Red apple generated by gpt-image-2

With gemini-3.1-flash-image-preview

The same endpoint also accepts Gemini image models. Do not pass n — the gateway maps n incorrectly to the numberOfImages field and returns 400. Each call produces exactly one image.

Python

gen_gemini.py


import base64
from openai import OpenAI
 
client = OpenAI(api_key="YOUR_OFOX_API_KEY", base_url="https://api.ofox.io/v1")
 
resp = client.images.generate(
    model="google/gemini-3.1-flash-image-preview",
    prompt="A simple red apple on a white table, photorealistic",
    size="1024x1024",
    quality="low",
    output_format="png",
)
 
with open("output.png", "wb") as f:
    f.write(base64.b64decode(resp.data[0].b64_json))

TypeScript

gen_gemini.ts


import OpenAI from 'openai'
import fs from 'node:fs'
 
const client = new OpenAI({ apiKey: 'YOUR_OFOX_API_KEY', baseURL: 'https://api.ofox.io/v1' })
 
const resp = await client.images.generate({
  model: 'google/gemini-3.1-flash-image-preview',
  prompt: 'A simple red apple on a white table, photorealistic',
  size: '1024x1024',
  quality: 'low',
  output_format: 'png',
})
 
fs.writeFileSync('output.png', Buffer.from(resp.data[0].b64_json!, 'base64'))

cURL

Terminal


curl -X POST 'https://api.ofox.io/v1/images/generations' \
  -H 'Authorization: Bearer YOUR_OFOX_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "google/gemini-3.1-flash-image-preview",
    "prompt": "A simple red apple on a white table, photorealistic",
    "size": "1024x1024",
    "quality": "low"
  }'

Sample output:

Red apple generated by Gemini

Using reference images (image-to-image · Qwen series)

Qwen image models such as bailian/qwen-image-3.0-pro accept reference images (1–3) directly on this endpoint for image-to-image / editing, via the input_images field (each element is an image URL or base64):

Terminal


curl -X POST 'https://api.ofox.io/v1/images/generations' \
  -H 'Authorization: Bearer YOUR_OFOX_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "bailian/qwen-image-3.0-pro",
    "prompt": "Change the apple to blue, keep everything else the same",
    "size": "1024x1024",
    "input_images": ["https://example.com/ref-apple.png"]
  }'

When reference images take effect, the response usage contains num_input_images — use it to programmatically confirm the model actually consumed your reference image.

The field name must be input_images. Other spellings such as image_urls, image, or images are silently ignored and the request degrades to plain text-to-image (still HTTP 200).

Parameters

Parameter	Type	Required	Description
`model`	string	✅	`openai/gpt-image-2`, `google/gemini-3.1-flash-image-preview`, `bailian/qwen-image-3.0-pro`
`prompt`	string	✅	Natural-language description
`quality`	string	✅	`auto` / `low` / `medium` / `high` / `standard` / `hd`
`n`	number	—	1–10, default 1. Not supported by Gemini models
`size`	string	—	`auto` / `1024x1024` / `1536x1024` / `1024x1536` / `256x256` / `512x512` / `1792x1024` / `1024x1792`
`input_images`	string[]	—	Reference images (URL or base64), supported by Qwen image models, 1–3 items; response contains `usage.num_input_images` when in effect
`output_format`	string	—	`png` / `jpeg` / `webp`
`background`	string	—	`transparent` / `opaque` / `auto`
`stream`	boolean	—	Default `false`

Response


{
  "created": 1777385517,
  "data": [
    { "b64_json": "<image Base64>", "index": 0 }
  ],
  "model": "openai/gpt-image-2",
  "size": "1024x1024",
  "quality": "low",
  "usage": {
    "input_tokens": 14,
    "input_tokens_details": { "text_tokens": 14 },
    "output_tokens": 208,
    "total_tokens": 222
  }
}

The image lives in data[0].b64_json — base64-decode and save it.

Edit images


POST https://api.ofox.io/v1/images/edits

multipart/form-data — you must upload an image file.

This endpoint only supports OpenAI / Azure OpenAI models. Calling it with google/gemini-3.1-flash-image-preview returns Image editing is not supported for model — switch to editing via the Gemini native protocol.

Call

Python

edit.py


import base64
from openai import OpenAI
 
client = OpenAI(api_key="YOUR_OFOX_API_KEY", base_url="https://api.ofox.io/v1")
 
with open("apple.png", "rb") as f:
    resp = client.images.edit(
        model="openai/gpt-image-2",
        image=f,
        prompt="把苹果改成绿色，其他保持不变",
        size="auto",
        quality="low",
    )
 
with open("apple_edited.png", "wb") as out:
    out.write(base64.b64decode(resp.data[0].b64_json))

TypeScript

edit.ts


import OpenAI, { toFile } from 'openai'
import fs from 'node:fs'
 
const client = new OpenAI({ apiKey: 'YOUR_OFOX_API_KEY', baseURL: 'https://api.ofox.io/v1' })
 
const resp = await client.images.edit({
  model: 'openai/gpt-image-2',
  image: await toFile(fs.createReadStream('apple.png'), 'apple.png'),
  prompt: '把苹果改成绿色，其他保持不变',
  size: 'auto',
  quality: 'low',
})
 
fs.writeFileSync('apple_edited.png', Buffer.from(resp.data[0].b64_json!, 'base64'))

cURL

Terminal


curl -X POST 'https://api.ofox.io/v1/images/edits' \
  -H 'Authorization: Bearer YOUR_OFOX_API_KEY' \
  -F 'model="openai/gpt-image-2"' \
  -F 'prompt="把苹果改成绿色，其他保持不变"' \
  -F 'image=@/path/to/apple.png' \
  -F 'size="auto"' \
  -F 'quality="low"'

The image field takes a local file path (with the @ prefix in cURL), not a URL.

Before / after:

Original	Edited

Parameters

Parameter	Type	Required	Description
`model`	string	✅	`openai/gpt-image-2`, `openai/gpt-image-1.5` (edit-optimized, supports `input_fidelity`)
`image`	file	✅	PNG / JPEG file
`prompt`	string	✅	Edit instruction
`quality`	string	✅	`low` / `medium` / `high`
`n`	number	—	Default 1
`size`	string	—	`auto` keeps the original size

Response

Same shape as generation:


{
  "created": 1777385669,
  "data": [
    { "b64_json": "<edited image Base64>", "index": 0 }
  ],
  "model": "openai/gpt-image-2",
  "size": "auto",
  "quality": "low",
  "usage": {
    "input_tokens": 1041,
    "input_tokens_details": { "image_tokens": 1024, "text_tokens": 17 },
    "num_input_images": 1,
    "output_tokens": 358,
    "total_tokens": 1399
  }
}

usage.input_tokens_details.image_tokens is the tokens consumed by the input image; num_input_images is the input image count.

See supported models and pricing in the Model Catalog .