Nano Banana Pro Image Generation
Generate and edit images with Nano Banana Pro through the PixMind API.
Generate or edit images with multilingual text rendering, structured layouts, and multiple visual references.
Provider
GoogleModel ID
nano-banana-proEndpoint
POST /api-platform/v1/generationsAuthentication
Base URL: https://aihub-admin.aimix.pro. Send Authorization: Bearer <PIXMIND_API_KEY> on both creation and polling requests, and Content-Type: application/json when submitting JSON. Keep your key in a server environment variable.
Model notes
- Use referenceImages only when the source URLs are publicly reachable.
- Use resolution to select the output resolution tier.
Request parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Stable PixMind model ID. Use `nano-banana-pro`. Allowed values: |
prompt | string | Yes | Natural-language generation or editing instructions. |
resolution | string | No | Output resolution tier. Allowed values: Default: |
aspectRatio | string | No | Requested output aspect ratio. Allowed values: Default: |
referenceImages | string[] (URI) | No | Reference image URLs used for editing, composition, subject, or style guidance. |
Request example
curl --request POST 'https://aihub-admin.aimix.pro/api-platform/v1/generations' \
-H "Authorization: Bearer $PIXMIND_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nano-banana-pro",
"prompt": "A multilingual product poster with clean information hierarchy",
"resolution": "2K",
"aspectRatio": "4:3",
"referenceImages": [
"https://example.com/product.jpg"
]
}'// Node.js 20+. Keep the API key on your server.
const apiKey = process.env.PIXMIND_API_KEY;
if (!apiKey) throw new Error("PIXMIND_API_KEY is required");
const response = await fetch("https://aihub-admin.aimix.pro/api-platform/v1/generations", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "nano-banana-pro",
"prompt": "A multilingual product poster with clean information hierarchy",
"resolution": "2K",
"aspectRatio": "4:3",
"referenceImages": [
"https://example.com/product.jpg"
]
}),
signal: AbortSignal.timeout(30_000)
});
const task = await response.json();
if (!response.ok || task.code !== 1000) {
throw new Error(task.message ?? task.error?.message ?? `HTTP ${response.status}`);
}
console.log(task);Accepted task response
Generation is asynchronous. Save taskId and poll GET /api-platform/v1/tasks/{taskId} until status is ready or failed.
{
"code": 1000,
"data": {
"id": "img_44160",
"taskId": 44160,
"type": "image",
"model": "nano-banana-pro",
"status": "processing"
}
}Query the task and retrieve results
Replace 44160 with data.taskId from the accepted response, using a key belonging to the same user. pending and processing are non-terminal; ready and failed are terminal. On ready, read images (images) or videoUrl (videos); on failed, read errorMessage. The example stops after 60 queries. If it times out, save taskId and query again later instead of creating a duplicate task. Example result URLs are placeholders.
curl 'https://aihub-admin.aimix.pro/api-platform/v1/tasks/44160' \
-H "Authorization: Bearer $PIXMIND_API_KEY"// Continue after the request example above.
const taskId = task.data?.taskId;
if (!Number.isInteger(taskId)) throw new Error("Missing numeric taskId");
async function waitForTask(taskId) {
for (let attempt = 0; attempt < 60; attempt++) {
await new Promise(resolve => setTimeout(resolve, Math.min(2000 * 1.5 ** attempt, 10000)));
const response = await fetch(`https://aihub-admin.aimix.pro/api-platform/v1/tasks/${taskId}`, {
headers: { Authorization: `Bearer ${apiKey}` },
signal: AbortSignal.timeout(30_000)
});
const result = await response.json();
if (!response.ok || result.code !== 1000) {
throw new Error(result.message ?? `HTTP ${response.status}`);
}
const data = result.data;
if (data.status === "ready") return data;
if (data.status === "failed") {
throw new Error(data.errorMessage ?? "Generation failed");
}
if (!["pending", "processing"].includes(data.status)) {
throw new Error(`Unexpected task status: ${data.status}`);
}
}
throw new Error(`Polling timed out; save taskId ${taskId} to query again later`);
}
const result = await waitForTask(taskId);
console.log(result.images);{
"code": 1000,
"data": {
"taskId": 44160,
"type": "image",
"model": "nano-banana-pro",
"status": "ready",
"progress": 100,
"images": [
"https://example.com/result.png"
]
}
}