Veo 3.1 Image to Video
Integrer
veo3.1/image-to-video
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/veo3.1/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": False,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/image-to-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/no/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "veo3.1/image-to-video",
"input": {
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}
}
Kall Veo 3.1 Image to Video-modellen (veo3.1/image-to-video) gjennom Doitong API. Dokumentasjon for agenter: https://doitong.com/no/developers/models/veo3.1/image-to-video.md
POST https://vit.doitong.com/api/v1/run/veo3.1/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}
Hvis responsstatusen er "queued" eller "running", send GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20-forespørsler til den er "succeeded"; filene ligger i outputs[].url. POST https://vit.doitong.com/api/v1/quote/veo3.1/image-to-video med samme innhold returnerer den nøyaktige prisen før kjøringen.
Denne forespørselen: 0,80 $ 800 API-kreditter Kjør den på denne siden
Din nye API-nøkkel. Den vises bare nå og er allerede satt inn i koden og i API-nøkkelfeltet nedenfor. Hold den hemmelig: Legg den aldri i kode som kjører i en nettleser.
Eksempler
PromptThe camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)
Bygg en forespørsel
Kontrollene genereres fra modellskjemaet. Koden og prisen oppdateres når du endrer dem.
/run/veo3.1/image-to-video?wait=20
pris → 0,80 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/veo3.1/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": False,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/image-to-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "veo3.1/image-to-video",
"input": {
"prompt": "The camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)",
"duration": "4s",
"resolution": "720p",
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_bcpcvkg8xf4nlq4fhu895qvz/0-BmlFvXLfR8RzdjlhNZMyw_l1hXLPeK.png"
},
"wait_seconds": 20
}
}
}
Kjør denne forespørselen
Nøkkelen din blir i denne nettleseren: Den sendes bare til Doitong API og lagres bare i localStorage hvis du krysser av for Husk. Hent en API-nøkkel
Om Veo 3.1 Image to Video
Veo 3.1 gjør et stillbilde om til realistiske opptak som bevarer motivet og utsnittet i bildet, med tale, lydeffekter og musikk generert sammen med bildet. 4, 6 eller 8 sekunder i 720p, 1080p eller 4K; bildet følger originalen eller tvinges til 16:9 eller 9:16. Lyd kan slås av for en lavere pris.
Parametere
Send enten det kanoniske navnet eller det opprinnelige navnet, ikke begge. Kanoniske navn
promptobligatorisk
aspect_ratiovalgfritt
durationvalgfritt
negative_promptvalgfritt
resolutionvalgfritt
generate_audiovalgfritt
seedvalgfritt
auto_fixvalgfritt
safety_tolerancevalgfritt
image_urlobligatorisk
image
Filparametere tar imot en offentlig https:// URL, en data: URI på opptil 10 MB eller file_url fra en opplasting. Filer
Utdata
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "veo3.1/image-to-video",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 800,
"usd": "0.80",
"charged": 800,
"refunded": 0
},
"input": {
"prompt": "The fox turns toward the camera and says \"Have you seen my friends?\" in a soft voice, fireflies drift by",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"duration": 6,
"resolution": "720p"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200
}
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Utdatafelt
- video
- object {url, content_type, file_name, file_size}Video produsert av modellen.
Andre Veo 3.1-varianter
Flere modeller: Bilde til video
For AI-agenter: Denne siden som Markdown finnes på https://doitong.com/no/developers/models/veo3.1/image-to-video.md. Alle modeller og veiledninger: https://doitong.com/developers/llms.txt