Image Generation

Designed for professional-grade image assets, complex instructions, multi-turn editing, text rendering, and high-resolution output.

Authorization

BearerAuth

AuthorizationBearer <token>

Model relay interface recognition. Request heading: Autoration: Bearer .

In: header

Path Parameters

model*string

Gemini model name.

Default"gemini-3-pro-image-preview"

Enter an array of content to carry one or more rounds of messages between users, models or tools. Each element is a Content object, usually consisting of __ FD_PROTECT_0 __ and __ FD_PROTECT_1 __: __ FD_PROTECT_2 __, commonly known as _ FD_PROTECT_3 __, _ FD_PROTECT_4 __, single-cycle user_9 _ with _ FD_PROTECT_10, _ FD_PROTECT_11 __, _ FD_PROTECT_12 __, _ FD_PRT_13 _ _ _ _ _ _FCED_14 Applies to scenarios such as text conversations, image/audio/video/document understanding, function calls and multimodular generation. The number of arrays and media sizes are based on upstream model and operational configuration limits.

systemInstruction?object

Gemini system command.

generationConfig?

Generates configurations such as temperature, TopK, TopP, maximum output length.

safetySettings?

Security policy settings. List of safetySettings. Scope: An array length is based on upstream or business configuration.

tools?

Gemini tool definition. . Scope: The length of arrays and the complexity of schema are based on upstream limits.

Response Body

application/json

curl -X POST "https://api.tokaify.com/v1beta/models/gemini-3-pro-image-preview:generateContent" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Writing a four-word Chinese short poem on the theme of urban night rain."
          }
        ]
      }
    ],
    "generationConfig": {
      "temperature": 0.7,
      "maxOutputTokens": 100000
    }
  }'

curl -X POST "https://api.tokaify.com/v1beta/models/gemini-3-pro-image-preview:generateContent" \  -H "Content-Type: application/json" \  -d '{    "contents": [      {        "parts": [          {            "text": "Writing a four-word Chinese short poem on the theme of urban night rain."          }        ]      }    ],    "generationConfig": {      "temperature": 0.7,      "maxOutputTokens": 100000    }  }'

{
  "candidates": [],
  "usageMetadata": {},
  "modelVersion": "string"
}

Request Parameters

Field	Type	Required	Default	Description
`contents`	array	Yes	None	Gemini content array supporting text and input images.
`contents[].parts[].text`	string	Yes	None	Generation prompt. For complex tasks, describe the aspect ratio, text, layout, materials, and constraints.
`contents[].parts[].inline_data`	object	No	None	Input reference image containing `mime_type` and Base64 `data`.
`generationConfig.responseModalities`	string[]	No	`["TEXT","IMAGE"]`	Returned modalities. For image generation, `["IMAGE"]` or `["TEXT","IMAGE"]` is recommended.
`generationConfig.imageConfig.aspectRatio`	string	No	`1:1`	Supports `1:1`, `3:2`, `2:3`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, and `21:9`.
`generationConfig.imageConfig.imageSize`	string	No	`1K`	Output size tier. Supports up to `4K`; exact available values depend on the provider channel.
`generationConfig.candidateCount`	integer	No	`1`	Candidate count. Keeping this at `1` is recommended to reduce latency and cost.
`safetySettings`	array	No	None	Gemini safety settings.

Example Code

curl "https://api.tokaify.com/v1beta/models/gemini-3-pro-image-preview:generateContent" \
  -H "Authorization: Bearer $TOKAIFY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{ "role": "user", "parts": [{ "text": "Generate a 4K product poster titled Tokaify API with a dark tech aesthetic and crisp text." }] }],
    "generationConfig": {
      "responseModalities": ["IMAGE"],
      "imageConfig": { "aspectRatio": "16:9", "imageSize": "4K" }
    }
  }'

import requests

response = requests.post(
    "https://api.tokaify.com/v1beta/models/gemini-3-pro-image-preview:generateContent",
    headers={"Authorization": "Bearer YOUR_TOKAIFY_API_KEY"},
    json={
        "contents": [{"role": "user", "parts": [{"text": "Generate a 4K product poster titled Tokaify API with a dark tech aesthetic and crisp text."}]}],
        "generationConfig": {"responseModalities": ["IMAGE"], "imageConfig": {"aspectRatio": "16:9", "imageSize": "4K"}},
    },
)
print(response.json())

const response = await fetch("https://api.tokaify.com/v1beta/models/gemini-3-pro-image-preview:generateContent", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.TOKAIFY_API_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({
    contents: [{ role: "user", parts: [{ text: "Generate a 4K product poster titled Tokaify API with a dark tech aesthetic and crisp text." }] }],
    generationConfig: { responseModalities: ["IMAGE"], imageConfig: { aspectRatio: "16:9", imageSize: "4K" } },
  }),
});
console.log(await response.json());

Response Example

{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [{ "inlineData": { "mimeType": "image/png", "data": "iVBORw0KGgoAAAANSUhEUg..." } }]
      },
      "finishReason": "STOP"
    }
  ],
  "usageMetadata": { "promptTokenCount": 48, "candidatesTokenCount": 4096, "totalTokenCount": 4144 }
}

Notes

Billing follows the configured model and channel ratios. High resolution significantly increases latency and usage, and preview models may change in availability, so production deployments should configure a fallback model.