New: Nano Banana 2.1Try the model
API Stock

Video

Bild zu Video

Ein Referenzbild animieren, ohne Motiv, Komposition oder Stil zu verlieren.

1 Min. Lesezeit2 Abschnitte

Das Ausgangsbild legt Motiv und Komposition fest. Der Prompt sollte Bewegung, Tempo und unveränderte Elemente klar benennen; kurze Animationen sind am besten kontrollierbar.

Praktische Grundlagen

Wählen Sie das Modell nach der wichtigsten Eigenschaft — Tempo, Genauigkeit, Auflösung oder Kontrolle — und speichern Sie Parameter und Version jedes Ergebnisses. wan2.7-video, kling-3.0-* and veo3.1-* — Image to video.

Ändern Sie pro Versuch nur eine Sache. Gute Ausgaben werden zu Referenzen und damit zum zuverlässigsten Ausgangspunkt der nächsten Iteration.

Behandeln Sie finished und failed als Endzustände. Nutzen Sie Polling oder Webhooks, bewahren Sie Rohfehler serverseitig auf und zeigen Sie Nutzerinnen und Nutzern nur sichere Meldungen.

Prompts und API-Beispiele

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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