Veo 3.1 Fast
Integrer
veo3.1/fast
# 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/fast?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/fast?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": True,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/fast", 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/fast",
"input": {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}
}
Kall Veo 3.1 Fast-modellen (veo3.1/fast) gjennom Doitong API. Dokumentasjon for agenter: https://doitong.com/no/developers/models/veo3.1/fast.md
POST https://vit.doitong.com/api/v1/run/veo3.1/fast?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}
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/fast med samme innhold returnerer den nøyaktige prisen før kjøringen.
Denne forespørselen: 0,60 $ 600 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
PromptUltra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing. Sound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. Visual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced. Camera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh. Style: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.
Bygg en forespørsel
Kontrollene genereres fra modellskjemaet. Koden og prisen oppdateres når du endrer dem.
/run/veo3.1/fast?wait=20
pris → 0,60 $
# 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/fast?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}'
# 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 $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/veo3.1/fast?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": True,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1/fast", 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/fast",
"input": {
"prompt": "Ultra realistic ASMR video of a fresh ripe pineapple being cut into a glass-shaped cylinder. Close-up macro shot, natural kitchen lighting, high detail pineapple texture, visible juice droplets, slow precise knife slicing.\nSound focus: crisp crunchy cutting sound, juicy wet fiber tearing sound, subtle knife sliding on cutting board, natural room ambience, no music, stereo binaural ASMR audio. \n\nVisual detail: yellow golden pineapple flesh, fresh green crown slightly visible on table, wooden cutting board, stainless steel sharp knife, realistic juice splashing slightly when sliced.\nCamera: slow cinematic movement, macro lens, depth of field, focus on knife entering pineapple flesh.\nStyle: hyper realistic, 4K, natural color grading, food photography realism, satisfying ASMR style.",
"duration": "4s",
"resolution": "720p",
"generate_audio": true
},
"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 Fast
Veo 3.1 Fast beholder Veos realisme, dialog og lydgenerering, med kortere gjengivelsestid og en mye lavere pris, noe som gjør den velegnet som standard for iterasjon. 4, 6 eller 8 sekunder, 16:9 eller 9:16, i 720p, 1080p eller 4K; lyd kan slås av.
Parametere
promptobligatorisk
aspect_ratiovalgfritt
durationvalgfritt
negative_promptvalgfritt
resolutionvalgfritt
generate_audiovalgfritt
seedvalgfritt
auto_fixvalgfritt
safety_tolerancevalgfritt
Utdata
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "veo3.1/fast",
"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": 600,
"usd": "0.60",
"charged": 600,
"refunded": 0
},
"input": {
"prompt": "A golden retriever runs along a beach at sunset, waves splashing, slow motion, warm backlight",
"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: Tekst til video
For AI-agenter: Denne siden som Markdown finnes på https://doitong.com/no/developers/models/veo3.1/fast.md. Alle modeller og veiledninger: https://doitong.com/developers/llms.txt