Veo 3.1 Image to Video
Integrar
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/rm/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"
}
}
Cloma il model Veo 3.1 Image to Video (veo3.1/image-to-video) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/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"
}
Sche il status da la resposta è "queued" u "running", fa polling GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://vit.doitong.com/api/v1/quote/veo3.1/image-to-video cun il medem body returna il pretsch exact avant l'execuziun.
Questa dumonda: $0,80 800 credits API Lantschar sin questa pagina
Tia nova clav API. Quest vegn mussada mo ussa ed è gia en il code ed en il champ da la clav API sutvart. Mantegna ella secreta: na la metta mai en code che vegn exequì en in navigatur.
Exempels
PromptThe camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)
Construir ina dumonda
Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.
/run/veo3.1/image-to-video?wait=20
calculaziun → $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
}
}
}
Executar questa dumonda
Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API
Davart Veo 3.1 Image to Video
Veo 3.1 transfurma in maletg fix en filmagens realisticas che mantegnan il subject ed il framing dal maletg, cun pled, effects da tun e musica generads ensemen cun il maletg. 4, 6 u 8 secundas a 720p, 1080p u 4K; il format suonda il maletg u vegn fixà a 16:9 u 9:16. L'audio po vegnir deactivà per in pretsch pli bass.
Parameters
Invia u il num canonic u il num nativ, betg omaduas. Nums canonics
promptobligatori
aspect_ratioopziunal
durationopziunal
negative_promptopziunal
resolutionopziunal
generate_audioopziunal
seedopziunal
auto_fixopziunal
safety_toleranceopziunal
image_urlobligatori
image
Ils parameters da datotecas acceptan ina URL publica https://, ina URI data: fin a 10 MB u il file_url d'ina chargiada. Datotecas
Output
{
"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"
}
}
Champs da l'output
- video
- object {url, content_type, file_name, file_size}Video producì dal model.
Autras variantes Veo 3.1
Dapli models: Maletg a video
Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/veo3.1/image-to-video.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt