Veo 3.1 Image to Video
Integréieren
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/lb/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"
}
}
Rufft de Veo 3.1 Image to Video-Modell (veo3.1/image-to-video) iwwer d'Doitong API op. Dokumentatioun fir Agenten: https://doitong.com/lb/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"
}
Wann de Äntwertstatus "queued" oder "running" ass, frot GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 of, bis en "succeeded" ass; d'Dateie stinn an outputs[].url. POST https://vit.doitong.com/api/v1/quote/veo3.1/image-to-video mam selwechte Body gëtt de geneeë Präis virun der Ausféierung zréck.
Dës Ufro: 0,80 $ 800 API-Kreditter Op dëser Säit ausféieren
Ären neien API-Schlëssel. Si gëtt nëmmen elo ugewisen a steet schonn am Code an am API-Schlëssel-Feld hei drënner. Halt se geheim: Setz se ni an Code, deen an engem Browser leeft.
Beispiller
PromptThe camera zooms right into her eye, focuses, then zooms all the way back again (no crossfade)
Eng Ufro erstellen
D'Kontrolle ginn aus dem Modellschema generéiert. De Code an de Präis aktualiséiere sech, wann s du se ännerst.
/run/veo3.1/image-to-video?wait=20
Präis → 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
}
}
}
Dës Ufro ausféieren
Äre Schlëssel bleift an dësem Browser: e gëtt nëmmen un d'Doitong API geschéckt an nëmme gespäichert (localStorage), wann s du „Erënneren“ aktivéiers. En API-Schlëssel kréien
Iwwer Veo 3.1 Image to Video
Veo 3.1 verwandelt e Stillbild an realistesch Footage, déi Sujet a Kader vum Bild behält, mat Sprooch, Soundeffekter a Musek, déi zesumme mam Bild generéiert ginn. 4, 6 oder 8 Sekonnen bei 720p, 1080p oder 4K; de Kader follegt dem Bild oder gëtt op 16:9 oder 9:16 forcéiert. Audio kann fir e méi niddrege Präis ausgeschalt ginn.
Parameteren
Schéck entweder den kanoneschen Numm oder den natierlechen Numm, net béid. Kanonesch Nimm
promptobligatoresch
aspect_ratiooptional
durationoptional
negative_promptoptional
resolutionoptional
generate_audiooptional
seedoptional
auto_fixoptional
safety_toleranceoptional
image_urlobligatoresch
image
Fichierparameter akzeptéieren eng ëffentlech https:// URL, eng data: URI bis zu 10 MB oder de file_url vun engem Upload. Fichieren
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"
}
}
Output-Felder
- video
- object {url, content_type, file_name, file_size}Video, dee vum Modell produzéiert gëtt.
Aner Veo 3.1-Varianten
Méi Modeller: Bild zu Video
Fir AI-Agenten: dës Säit als Markdown ass ënner https://doitong.com/lb/developers/models/veo3.1/image-to-video.md. All Modeller a Guiden: https://doitong.com/developers/llms.txt