Op den Inhalt sprangen

Veo 3.1 Fast

Integréieren

Modell-ID veo3.1/fast

# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/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://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

const API = "https://api.doitong.ru/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://api.doitong.ru/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/lb/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/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
  }
}

Rufft de Veo 3.1 Fast-Modell (veo3.1/fast) iwwer d'Doitong API op. Dokumentatioun fir Agenten: https://doitong.com/lb/developers/models/veo3.1/fast.md

POST https://api.doitong.ru/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
}

Wann de Äntwertstatus "queued" oder "running" ass, frot GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 of, bis en "succeeded" ass; d'Dateie stinn an outputs[].url. POST https://api.doitong.ru/v1/quote/veo3.1/fast mam selwechte Body gëtt de geneeë Präis virun der Ausféierung zréck.

Dës Ufro: 0,60 $ 600 API-Kreditter · ≈ 63,28 ₽ Op dëser Säit ausféieren

API-Schlëssel kréien

Google Text zu Video Native Audio4K-OutputSchnell4–8 sbis zu 4k #fast#dialogue

De méi séieren a méi bëllege Veo 3.1 fir 4 bis 8 Sekonne laang Clips mat Toun.

OpenAPI Markdown

Beispiller

Output · ~42 s

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.

4s720pgenerate_audio: true0,60 $ · 600 API-Kreditter

Prompt vun @Strength04_X op X

Präis

Exakte Präis

vu 0,10 $ un / Sekonn

100 API-Kreditter / Sekonn · ≈ 10,55 ₽

8 s ≈ 0,80 $

Dës Ufro: 4 Sekonnen × 0,15 $ 0,60 $ 600 API-Kreditter · ≈ 63,28 ₽

Ausféieren · 0,60 $

Nëmmen bei Erfolleg verrechent, bei Feeler automatesch rembourséiert.

duration 4 s

resolution

Präisregelen

Wann resolution = 4k an generate_audio = true: 0,35 $ / Sekonn
Wann resolution = 4k: 0,30 $ / Sekonn
Wann generate_audio = true: 0,15 $ / Sekonn

Ofgerechent pro Sekonn Output (duration).

Typesch Dauer: ~42 s
Präis-Endpunkt: POST /quote/{id}

Eng Ufro erstellen

D'Kontrolle ginn aus dem Modellschema generéiert. De Code an de Präis aktualiséiere sech, wann s du se ännerst.

prompt •obligatoresch 789 / 20000

Textbeschreiwung vum gewënschte Video fir d'Generatioun.

duration 4 s

Längt vum Output-Video.

aspect_ratio Standard 16:9

Verhältnis vu Breet zu Héicht vum generéierte Video.

resolution

Opléisung, déi fir den Output-Video benotzt gëtt.

Erweidert negative_prompt · safety_tolerance · seed · auto_fix

negative_prompt

Negativen Prompt, dee benotzt gëtt, fir d'Videogeneratioun ze steieren.

safety_tolerance Standard 4

Setzt d'Toleranz vun der Inhaltsmoderatioun tëscht dem mannst restriktive Niveau 6 an dem strengste Niveau 1, dee meeschten Inhalt blockéiert.

seed

Seed-Wäert, deen d'Generatioun vun Zoufallszuelen initialiséiert.

POST /run/veo3.1/fast?wait=20 Präis → 0,60 $

# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/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://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

const API = "https://api.doitong.ru/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://api.doitong.ru/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
    }
  }
}

Dës Ufro ausféieren

API-Schlëssel

Äre Schlëssel bleift an dësem Browser: e gëtt nëmmen un d'Doitong API geschéckt an nëmme gespäichert (localStorage), wann s du „Erënneren“ aktivéiers. An dësem Browser verhalen En API-Schlëssel kréien

Op Doitong erstallt

Ëffentlech Wierker, déi d'Doitong-Communautéit mat Veo 3.1 erstallt huet. Benotz e Prompt mat engem Klick nach eng Kéier.

Ëffentlech Wierker ugewisen: 16

Video

Кинематографичная сцена в современном офисном коридоре. Огромная дверь с надписью «Фарм» резко открыта, изнутри виден пиксельный мир в стиле Minecraft: квадратные фермы, зелёные блоки, механизмы, лёгкое зелёное и тёплое свечение. Из двери выходит главный герой — толстый, неприятного вида, немного...

Video

Кинематографичная сцена: главный герой открывает дверь и попадает в бесконечный тёмный мир серверов. Камера медленно движется вперёд, показывая бесконечные серверные стойки, мигающие лампы и холодный неоновый свет. Из темноты появляется глава разработки — абсурдно огромный качок с идеальной...

Video

Главный герой открывает дверь и попадает в розовый сказочный HR-мир. Камера показывает пони, сердечки, блестящие облачка, розовый свет и всё вокруг как будто сделано из милоты. В центре появляется бимбо-глава HR — очень гламурная, в розовом, с идеальной внешностью и ярким макияжем. Она дружелюбно...

Video

Главный герой открывает дверь и оказывается в гигантском мире Minecraft-like. Камера показывает бесконечные фермы, механизмы, падающие ресурсы, мобов, редстоун и автоматизацию. На переднем плане стоит глава отдела фарма — квадратный парень с мотыгой в руках. Он разворачивается к герою и жестом...

Video

Кинематографичная сцена: главный герой открывает дверь и попадает в бесконечный тёмный мир серверов. Камера медленно движется вперёд, показывая бесконечные серверные стойки, мигающие лампы и холодный неоновый свет. Из темноты появляется глава разработки — абсурдно огромный качок с идеальной...

Video

Камера показывает рабочую жизнь HR-отдела: одна сотрудница катается на кресле, кто-то берёт подушку Кати, несколько человек сидят и увлечённо болтают, другие пьют чай и кушают, и всё это происходит так, будто это стратегическая работа мирового уровня. Глава HR стоит посреди этого хаоса и с милой...

Video

Кинематографичная сцена в современном офисном коридоре. Главный герой стоит напротив четырёх огромных дверей, каждая из которых выглядит как вход в отдельную вселенную. Над дверями большими буквами написано: Разработка, Маркетинг, HR, Фарм. Сначала камера показывает героя со спины или в...

Video

Глава фарма ведёт главного героя по своему миру и показывает, как устроены фермы и процессы. Затем он указывает на отдельную часть системы, где визуально показана новая схема выдачи аккаунтов по новым гео. Вокруг двигаются механизмы, работают фермы, падает дроп, всё автоматизировано и работает...

Iwwer Veo 3.1 Fast

Veo 3.1 Fast behält dem Veo säi Realismus, Dialog- an Toun-Generéiere mat méi kuerzen Renderzäiten an engem däitlech méi niddrege Präis, wat en zu engem gudde Standard fir Iteratioune mécht. 4, 6 oder 8 Sekonnen, 16:9 oder 9:16, bei 720p, 1080p oder 4K; Audio kann ausgeschalt ginn.

Parameteren

NummTyp StandardErlaabt Beschreiwung

promptobligatoresch

Typstring

≤ 20.000 Zeechen

Textbeschreiwung vum gewënschte Video fir d'Generatioun.

aspect_ratiooptional

Typenum

Standard16:9

16:99:16

Verhältnis vu Breet zu Héicht vum generéierte Video.

durationoptional

Typenum

Standard8s

4s6s8s

Längt vum Output-Video.

negative_promptoptional

Typstring | null

Negativen Prompt, dee benotzt gëtt, fir d'Videogeneratioun ze steieren.

resolutionoptional

Typenum

Standard720p

720p1080p4k

Opléisung, déi fir den Output-Video benotzt gëtt.

generate_audiooptional

Typboolean

Standardtrue

Steiert, ob de Video generéierten Audio enthält.

seedoptional

Typinteger | null

Seed-Wäert, deen d'Generatioun vun Zoufallszuelen initialiséiert.

auto_fixoptional

Typboolean

Standardtrue

Automatescht Ëmschreiwe vu Prompts, fir Feeler bei Inhaltsrichtlinnkontrollen oder aner Validatiounsfeeler ze léisen.

safety_toleranceoptional

Typenum

Standard4

123456

Setzt d'Toleranz vun der Inhaltsmoderatioun tëscht dem mannst restriktive Niveau 6 an dem strengste Niveau 1, dee meeschten Inhalt blockéiert.

obligatoresch

Output

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "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://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}

Är Fichieren, Är WielAll outputs[].url ass eng Kopie an eiser Späicherung: fir ëmmer gespäichert (bezuelbar pro GB-Mount) oder 7 Deeg gratis, jee no Ärer Kontastellung oder ?storage=.

D'selwecht Struktur bei all Modelltype, url, content_type, width, height an duration, fir Biller, Video an Audio gläichermoossen. output ass dem Modell säin eegent Resultatobjet.

Output-Felder

video: object {url, content_type, file_name, file_size}Video, dee vum Modell produzéiert gëtt.

Méi Modeller: Text zu Video

Fir AI-Agenten: dës Säit als Markdown ass ënner https://doitong.com/lb/developers/models/veo3.1/fast.md. All Modeller a Guiden: https://doitong.com/developers/llms.txt