Hoppa till innehåll

Veo 3.1 Fast

Integrera

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/sv/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
  }
}

Anropa modellen Veo 3.1 Fast (veo3.1/fast) via Doitong API. Dokumentation för agenter: https://doitong.com/sv/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
}

Om svarsstatusen är "queued" eller "running" ska du polla GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 tills den är "succeeded"; filerna finns i outputs[].url. POST https://api.doitong.ru/v1/quote/veo3.1/fast med samma body returnerar det exakta priset före körningen.

Den här begäran: 0,60 $ 600 API-krediter · ≈ 63,28 ₽ Kör den på den här sidan

Hämta API-nyckel

Google Text till video Inbyggt ljud4K-utdataSnabb4–8 supp till 4k #audio#fast#dialogue

Den snabbare och billigare Veo 3.1 för klipp på 4 till 8 sekunder med ljud.

OpenAPI Markdown

Exempel

Resultat · ~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-krediter

Prompt från @Strength04_X på X

Pris

Exakt pris

från 0,10 $ / sekund

100 API-krediter / sekund · ≈ 10,55 ₽

8 s ≈ 0,80 $

Den här begäran: 4 sekunder × 0,15 $ 0,60 $ 600 API-krediter · ≈ 63,28 ₽

Debiteras endast vid lyckat resultat och återbetalas automatiskt vid fel.

duration 4 s

resolution

Prisregler

När resolution = 4k och generate_audio = true: 0,35 $ / sekund
När resolution = 4k: 0,30 $ / sekund
När generate_audio = true: 0,15 $ / sekund

Debiteras per sekund av resultatet (duration).

Typisk tid: ~42 s
Pris-endpoint: POST /quote/{id}

Skapa en begäran

Kontrollerna genereras från modellschemat. Koden och priset uppdateras när du ändrar dem.

prompt •obligatoriskt 789 / 20000

Textbeskrivning av den önskade videon för generering.

duration 4 s

Längden på utdatavideon.

aspect_ratio standard 16:9

Bredd-höjd-förhållande för den genererade videon.

resolution

Upplösning som används för utdata-videon.

Avancerat negative_prompt · safety_tolerance · seed · auto_fix

negative_prompt

Negativ prompt som styr videogenereringen.

safety_tolerance standard 4

Ställ in toleransen för innehållsmoderering mellan den minst restriktiva nivån, 6, och den striktaste nivån, 1, som blockerar det mesta innehållet.

seed

Seed-värde som initierar generering av slumptal.

POST /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://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
    }
  }
}

Kör den här begäran

API-nyckel

Din nyckel stannar i den här webbläsaren: den skickas endast till Doitong API och sparas endast i localStorage om du markerar Kom ihåg. Kom ihåg i den här webbläsaren Hämta en API-nyckel

Skapat på Doitong

Offentliga verk skapade med Veo 3.1 av Doitong-communityt. Återanvänd en prompt med ett klick.

Visade offentliga verk: 16

Video

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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...

Om Veo 3.1 Fast

Veo 3.1 Fast behåller Veos realism, dialog och ljudgenerering med kortare renderingstider och ett mycket lägre pris, vilket gör den till ett bra standardval för iterationer. 4, 6 eller 8 sekunder, 16:9 eller 9:16, i 720p, 1080p eller 4K; ljud kan stängas av.

Parametrar

NamnTyp StandardTillåtna Beskrivning

promptobligatoriskt

Typstring

≤ 20 000 tecken

Textbeskrivning av den önskade videon för generering.

aspect_ratiovalfritt

Typenum

Standard16:9

16:99:16

Bredd-höjd-förhållande för den genererade videon.

durationvalfritt

Typenum

Standard8s

4s6s8s

Längden på utdatavideon.

negative_promptvalfritt

Typstring | null

Negativ prompt som styr videogenereringen.

resolutionvalfritt

Typenum

Standard720p

720p1080p4k

Upplösning som används för utdata-videon.

generate_audiovalfritt

Typboolean

Standardtrue

Styr om videon ska innehålla genererat ljud.

seedvalfritt

Typinteger | null

Seed-värde som initierar generering av slumptal.

auto_fixvalfritt

Typboolean

Standardtrue

Automatisk omskrivning av prompter för att försöka lösa fel i innehållspolicykontroller eller annan validering.

safety_tolerancevalfritt

Typenum

Standard4

123456

Ställ in toleransen för innehållsmoderering mellan den minst restriktiva nivån, 6, och den striktaste nivån, 1, som blockerar det mesta innehållet.

obligatoriskt

Resultat

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"
  }
}

Dina filer, ditt valVarje outputs[].url är en kopia i vår lagring: sparad för alltid (debiteras per GB-månad) eller 7 dagar kostnadsfritt, enligt din kontoinställning eller ?storage=.

Samma struktur för varje modelltype, url, content_type, width, height och duration, för bilder, video och ljud. output är modellens eget resultatobjekt.

Resultatets fält

video: object {url, content_type, file_name, file_size}Video som produceras av modellen.

Fler modeller: Text till video

För AI-agenter: den här sidan som Markdown finns på https://doitong.com/sv/developers/models/veo3.1/fast.md. Alla modeller och guider: https://doitong.com/developers/llms.txt