Veo 3.1 Fast Eco API
Veo 3.1 Fast Eco video generation API reference
Generate video with Veo 3.1 Fast Eco through the PixMind API.
Provider
GoogleModel ID
veo-3.1-fast-ecoEndpoint
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
- Submit a generation request, then poll the returned taskId for the result.
Request parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Stable PixMind model ID. Use `veo-3.1-fast-eco`. Allowed values: |
prompt | string | Yes | Natural-language generation or editing instructions. |
duration | integer | No | Requested clip duration in seconds. Allowed values: Default: |
aspectRatio | string | No | Requested output aspect ratio. Allowed values: Default: |
resolution | string | No | Output video resolution. Allowed values: Default: |
imageUrl | string (URI) | No | Starting image for image-to-video generation. |
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": "veo-3.1-fast-eco",
"prompt": "A controlled product reveal with gentle camera motion",
"duration": 8,
"aspectRatio": "16:9",
"resolution": "720p"
}'// 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": "veo-3.1-fast-eco",
"prompt": "A controlled product reveal with gentle camera motion",
"duration": 8,
"aspectRatio": "16:9",
"resolution": "720p"
}),
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": "vid_44160",
"taskId": 44160,
"type": "video",
"model": "veo-3.1-fast-eco",
"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.videoUrl);{
"code": 1000,
"data": {
"taskId": 44160,
"type": "video",
"model": "veo-3.1-fast-eco",
"status": "ready",
"progress": 100,
"videoUrl": "https://example.com/result.mp4"
}
}