Saltar al cuntegna

Veo 3.1 Fast

Integrar

ID dal model 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/rm/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
  }
}

Cloma il model Veo 3.1 Fast (veo3.1/fast) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/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
}

Sche il status da la resposta è "queued" u "running", fa polling GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://api.doitong.ru/v1/quote/veo3.1/fast cun il medem body returna il pretsch exact avant l'execuziun.

Questa dumonda: $0,60 600 credits API · ≈ ₽63,28 Lantschar sin questa pagina

Obtegna ina clav API

Google Text a video Audio nativOutput 4KSvelt4–8 sfin a 4k #fast#dialogue

Il Veo 3.1 pli spert e pli favuraivel per clips da 4 fin 8 secundas cun tun.

OpenAPI Markdown

Exempels

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: true$0,60 · 600 credits API

Prompt da @Strength04_X sin X

Pretsch

Pretsch exact

a partir da $0,10 / secunda

100 credits API / secunda · ≈ ₽10,55

8 s ≈ $0,80

Questa dumonda: 4 secundas × $0,15 $0,60 600 credits API · ≈ ₽63,28

Executar · $0,60

Facturà mo en cas da success, rembursà automaticamain en cas d'ina errur.

duration 4 s

resolution

Reglas da pretsch

Sche resolution = 4k e generate_audio = true: $0,35 / secunda
Sche resolution = 4k: $0,30 / secunda
Sche generate_audio = true: $0,15 / secunda

Facturà per secunda d'output (duration).

Temp tipic: ~42 s
Endpoint da calculaziun: POST /quote/{id}

Construir ina dumonda

Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.

prompt •obligatori 789 / 20000

Descripziun textuala dal video giavischà per la generaziun.

duration 4 s

Lunghezza dal video d’output.

aspect_ratio standard 16:9

Rapport da ladezza a autezza dal video generà.

resolution

Resoluziun utilisada per il video d'output.

Avanzà negative_prompt · safety_tolerance · seed · auto_fix

negative_prompt

Prompt negativ utilisà per diriger la generaziun da video.

safety_tolerance standard 4

Definescha la toleranza da la moderaziun dal cuntegnair tranter il nivel il main restrictiv, 6, e il nivel il pli strict, 1, che bloccà la gronda part dal cuntegnair.

seed

Valur da seed che inizialisescha la generaziun da nums casuals.

POST /run/veo3.1/fast?wait=20 calculaziun → $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
    }
  }
}

Executar questa dumonda

Clav API

Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Memorisar en quest navigatur Obtegnair ina clav API

Fatg sin Doitong

Ovras publicas fatgas cun Veo 3.1 da la communitad Doitong. Reutilisescha in prompt cun in clic.

Ovras publicas mussadas: 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...

Davart Veo 3.1 Fast

Veo 3.1 Fast mantegna il realissem, il dialog e la generaziun da tun da Veo, cun temps da renderisar pli curts ed in pretsch bler pli bass, quai che fa dad el in bun standard per iteraziuns. 4, 6 u 8 secunda, 16:9 u 9:16, a 720p, 1080p u 4K; l'audio po vegnir deactivà.

Parameters

NumTip StandardPermess Descripziun

promptobligatori

Tipstring

≤ 20 000 caracters

Descripziun textuala dal video giavischà per la generaziun.

aspect_ratioopziunal

Tipenum

Standard16:9

16:99:16

Rapport da ladezza a autezza dal video generà.

durationopziunal

Tipenum

Standard8s

4s6s8s

Lunghezza dal video d’output.

negative_promptopziunal

Tipstring | null

Prompt negativ utilisà per diriger la generaziun da video.

resolutionopziunal

Tipenum

Standard720p

720p1080p4k

Resoluziun utilisada per il video d'output.

generate_audioopziunal

Tipboolean

Standardtrue

Controlla sche il video cuntegna audio generà.

seedopziunal

Tipinteger | null

Valur da seed che inizialisescha la generaziun da nums casuals.

auto_fixopziunal

Tipboolean

Standardtrue

Riscriver automaticamain ils prompts per empruvar da schliar failures en controlls da la politica da cuntegnair u autra validaziun.

safety_toleranceopziunal

Tipenum

Standard4

123456

Definescha la toleranza da la moderaziun dal cuntegnair tranter il nivel il main restrictiv, 6, e il nivel il pli strict, 1, che bloccà la gronda part dal cuntegnair.

obligatori

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"
  }
}

Tias datotecas, tia decisiunMintga outputs[].url è ina copia en nossa memorisaziun: conservada per adina (pajà per GB-mes) u 7 dis gratuitamain, tenor la configuraziun dal conto u ?storage=.

La medema structura per mintga modeltype, url, content_type, width, height e duration, tant per maletgs sco per video e audio. output è l'object da resultat dal model sez.

Champs da l'output

video: object {url, content_type, file_name, file_size}Video producì dal model.

Dapli models: Text a video

Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/veo3.1/fast.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt