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API Stock

Vídeo

Texto a vídeo

Crear clips desde un prompt: encuadre, movimiento, duración y entrega.

2 min de lectura2 secciones

Un buen plano de vídeo define sujeto, lugar, acción, encuadre y movimiento de cámara. Empiece con clips cortos e itere desde el resultado que funciona.

Principios prácticos

Elija el modelo según la prioridad — rapidez, fidelidad, resolución o control — y guarde parámetros y versión de cada resultado. veo3.1-*, wan2.7-video and kling-3.0-* — Text to video.

Cambie una sola cosa por intento. Las salidas buenas se convierten en referencias y en el punto de partida más fiable para la siguiente iteración.

Trate finished y failed como estados finales. Use polling o webhooks, conserve errores sin procesar en el servidor y muestre mensajes seguros al usuario.

Prompts y ejemplos de API

text
Close up shot (composition) of melting icicles (subject) on a frozen rock wall
(context) with cool blue tones (ambiance), zoomed in (camera motion) maintaining
close-up detail of water drips (action).
Veo 3.1 follows a compact shot list: close framing, cool-blue ambience, a zoom and one clear action.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
A barista slides a paper cup across the counter and says "your usual, right?",
warm indoor light, handheld, slight rack focus onto the cup, cafe ambience
text
A close-up cinematic shot follows a desperate man in a weathered green trench
coat as he dials a rotary phone mounted on a gritty brick wall, bathed in the
eerie glow of a green neon sign. The camera dollies in, revealing the tension
in his jaw and the desperation etched on his face as he struggles to make the
call. The shallow depth of field focuses on his furrowed brow and the black
rotary phone, blurring the background into a sea of neon colors and indistinct
shadows, creating a sense of urgency and isolation.
Veo 3.1 with the detailed version of the prompt: camera, texture, light and emotion all reinforce the same shot.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
A satellite floating through outer space with the moon and some stars in the
background.
Veo 3.1 from a subject-and-context prompt only; the result is coherent, but the model chooses the camera and motion for you.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
A cyclist crests a hill at dusk, silhouette against an orange sky, camera
tracking alongside, dust in the air

About these samples. Ready-made examples are copied to our own storage only when their source permits reuse. The exact prompt appears above each result, and the original source and license are linked below the media.

sh
curl -X POST https://api.api-stock.com/api/v1/generation/create \
-H "Authorization: Bearer sk-your-key" \
-H "Content-Type: application/json" \
-d '{
"model": "veo3.1-quality",
"input": {
"prompt": "A lighthouse on a basalt cliff at dawn, slow push-in, fog rolling over the water",
"aspectRatio": "16:9",
"resolution": "4k"
}
}'
json
{
"code": 200,
"data": {
"taskId": "019ca881-9503-7270-a560-f00fc2b15785",
"status": "not_started",
"createdAt": "2026-02-28T11:22:33.000Z"
}
}
json
{
"model": "seedance-2.0",
"input": {
"prompt": "A lighthouse on a basalt cliff at dawn, fog rolling over the water",
"size": "16:9",
"resolution": "1080p",
"duration": 8,
"generateAudio": true,
"cameraFixed": false
}
}
sh
curl https://api.api-stock.com/api/v1/task/status/019ca881-9503-7270-a560-f00fc2b15785 \
-H "Authorization: Bearer sk-your-key"
json
{
"code": 200,
"data": {
"taskId": "019ca881-9503-7270-a560-f00fc2b15785",
"status": "processing",
"createdTime": "2026-02-28T11:22:33.000Z"
}
}
json
{
"code": 200,
"data": {
"taskId": "019ca881-9503-7270-a560-f00fc2b15785",
"status": "finished",
"files": [
{
"fileUrl": "https://storage.api-stock.com/generated/video-abc123.mp4",
"fileType": "video"
}
],
"createdTime": "2026-02-28T11:22:33.000Z"
}
}
ts
const BASE = "https://api.api-stock.com/api/v1";
const KEY = process.env.API_STOCK_KEY!;
type TaskFile = { fileUrl: string; fileType: "image" | "video" | "music" };
type TaskData = {
taskId: string;
status: "not_started" | "processing" | "finished" | "failed";
files?: TaskFile[];
output?: Record<string, unknown>;
createdTime: string;
errorMessage?: string;
};
async function createVideo(prompt: string): Promise<string> {
const res = await fetch(`${BASE}/generation/create`, {
method: "POST",
headers: {
Authorization: `Bearer ${KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "veo3.1-quality",
input: { prompt, aspectRatio: "16:9", resolution: "4k" },
}),
});
const body = await res.json();
if (!res.ok) {
// { code, error: { message, type, code } }
throw new Error(`${body.error.code}: ${body.error.message}`);
}
return body.data.taskId; // → "019ca881-9503-7270-a560-f00fc2b15785"
}
async function waitForTask(
taskId: string,
{ intervalMs = 10_000, timeoutMs = 20 * 60_000 } = {},
): Promise<TaskData> {
const deadline = Date.now() + timeoutMs;
while (Date.now() < deadline) {
const res = await fetch(`${BASE}/task/status/${taskId}`, {
headers: { Authorization: `Bearer ${KEY}` },
});
const body = await res.json().catch(() => null);
if (!res.ok) {
const message = body?.error?.message ?? `${res.status} ${res.statusText}`;
throw new Error(message);
}
const data = body.data as TaskData;
if (data.status === "finished") return data;
if (data.status === "failed") {
throw new Error(data.errorMessage ?? "generation failed");
}
await new Promise((r) => setTimeout(r, intervalMs));
}
// The task is still alive server-side — resume polling later with the id.
throw new Error(`timed out waiting for ${taskId}`);
}
const taskId = await createVideo(
"A lighthouse on a basalt cliff at dawn, slow push-in, fog rolling over the water",
);
const task = await waitForTask(taskId);
console.log(task.files?.[0].fileUrl); // → https://storage.api-stock.com/...mp4
json
{
"model": "veo3.1-fast",
"input": {
"prompt": "Neon-lit rain on an empty parking garage, handheld",
"aspectRatio": "9:16",
"resolution": "1080p"
},
"webhook": "https://example.com/hooks/api-stock/8f2c1e9a-secret"
}
json
{
"code": 400,
"error": {
"message": "Input parameters do not match the requirements for model veo3.1-quality",
"type": "BadRequest",
"code": "invalid_input"
}
}
json
{
"code": 200,
"data": {
"taskId": "019ca881-9503-7270-a560-f00fc2b15785",
"status": "failed",
"createdTime": "2026-02-28T11:22:33.000Z",
"errorMessage": "This generation may violate our content policy. Please try a different prompt."
}
}

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