New: Nano Banana 2.1Try the model
API Stock

Vídeo

Imagen a vídeo

Animar una imagen de referencia sin perder sujeto, composición ni estilo.

1 min de lectura2 secciones

La imagen inicial fija el sujeto y la composición. El prompt debe describir movimiento, ritmo y lo que debe permanecer inmóvil; una animación corta ofrece más control.

Principios prácticos

Elija el modelo según la prioridad — rapidez, fidelidad, resolución o control — y guarde parámetros y versión de cada resultado. wan2.7-video, kling-3.0-* and veo3.1-* — Image 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
A matte-black espresso machine on a concrete counter with steam and morning light
text
Steam rises and drifts left, the light slowly warms, camera pushes in very
slightly. Everything else stays still.
text
A hyperrealistic macro photo of tiny, miniature surfers riding ocean waves
inside a rustic stone bathroom sink. A vintage brass faucet is running,
creating the perpetual surf. Surreal, whimsical, bright natural lighting.
The Nano Banana source frame used for the image-to-video example below.
The Nano Banana source frame used for the image-to-video example below.

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

text
A surreal, cinematic macro video. Tiny surfers ride perpetual, rolling waves
inside a stone bathroom sink. A running vintage brass faucet generates the
endless surf. The camera slowly pans across the whimsical, sunlit scene as the
miniature figures expertly carve the turquoise water.
Veo 3.1 turns the still sink scene into a controlled macro pan while preserving the miniature surfers and faucet.

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

text
Smooth continuous transition between the two framings, no cuts, natural
lighting change
text
The character turns from the window toward the camera and smiles. Room tone
and distant traffic. No cuts.
text
The character performs the motion from the reference video, keeping their own
clothing and appearance

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.

json
{
"model": "seedance-2.0",
"input": {
"prompt": "The camera drifts left as the sun clears the ridge",
"imageWithRoles": [
{ "url": "https://example.com/dawn.jpg", "role": "first_frame" },
{ "url": "https://example.com/noon.jpg", "role": "last_frame" }
],
"resolution": "1080p",
"duration": 8,
"generateAudio": false
}
}
json
{
"model": "pixverse-v6",
"input": {
"prompt": "Slow dissolve between the two framings",
"firstFrameImage": "https://example.com/dawn.jpg",
"lastFrameImage": "https://example.com/noon.jpg",
"duration": 5,
"resolution": "720p"
}
}
json
{
"model": "wan2.7-video",
"input": {
"imageUrls": [
"https://example.com/dawn.jpg",
"https://example.com/noon.jpg"
],
"resolution": "1080p",
"duration": 5
}
}
json
{
"model": "kling-3.0-motion-control",
"input": {
"prompt": "Studio backdrop, soft key light",
"imageUrls": ["https://example.com/character.png"],
"videoUrls": ["https://example.com/dance-reference.mp4"],
"characterOrientation": "image",
"resolution": "1080p"
}
}
json
{
"model": "midjourney-video",
"input": {
"prompt": "Gentle parallax drift toward the archway",
"imageUrls": ["https://example.com/still.png"],
"videoType": "vid_1.1_i2v_720",
"motion": "high",
"batchSize": 1
}
}
json
{
"model": "midjourney-video",
"input": {
"parentTaskId": "019ca881-9503-7270-a560-f00fc2b15785",
"index": 0,
"animateMode": "auto",
"videoType": "vid_1.1_i2v_480"
}
}
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-fast",
"input": {
"prompt": "The gulls lift off and the boat rocks in the swell",
"urls": ["https://example.com/harbour.jpg"],
"generationType": "frame",
"aspectRatio": "16:9"
}
}'
json
{
"code": 200,
"data": {
"taskId": "019ca8a1-1c40-73f2-9b6d-4a01d8e2f7c3",
"status": "not_started",
"createdAt": "2026-02-28T12:04:11.000Z"
}
}
ts
const BASE = "https://api.api-stock.com/api/v1";
const KEY = process.env.API_STOCK_KEY!;
async function animate(imageUrl: string, prompt: string) {
const create = await fetch(`${BASE}/generation/create`, {
method: "POST",
headers: {
Authorization: `Bearer ${KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "veo3.1-fast",
input: {
prompt,
urls: [imageUrl],
generationType: "frame",
aspectRatio: "16:9",
},
}),
});
const created = await create.json();
if (!create.ok) {
throw new Error(`${created.error.code}: ${created.error.message}`);
}
const taskId: string = created.data.taskId;
for (;;) {
await new Promise((r) => setTimeout(r, 10_000));
const res = await fetch(`${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;
if (data.status === "finished") return data.files[0].fileUrl;
if (data.status === "failed" || data.status === "expired") {
throw new Error(data.errorMessage);
}
}
}
const url = await animate(
"https://example.com/harbour.jpg",
"The gulls lift off and the boat rocks in the swell",
);
console.log(url); // → https://storage.api-stock.com/generated/video-...mp4
json
{
"code": 200,
"data": {
"taskId": "019ca8a1-1c40-73f2-9b6d-4a01d8e2f7c3",
"status": "finished",
"files": [
{
"fileUrl": "https://storage.api-stock.com/generated/video-9f31c2.mp4",
"fileType": "video"
}
],
"createdTime": "2026-02-28T12:04:11.000Z"
}
}

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