Avançar para o conteúdo

Veo 3.1 Fast

Integrar

ID do modelo 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/pt-PT/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
  }
}

Chame o modelo Veo 3.1 Fast (veo3.1/fast) através da Doitong API. Documentação para agentes: https://doitong.com/pt-PT/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
}

Se o estado da resposta for "queued" ou "running", consulte GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 repetidamente até ficar "succeeded"; os ficheiros estão em outputs[].url. POST https://api.doitong.ru/v1/quote/veo3.1/fast com o mesmo corpo devolve o preço exato antes da execução.

Este pedido: 0,60 $ 600 créditos da API · ≈ 62,82 ₽ Executar nesta página

Obter chave de API

Google Texto para vídeo Áudio nativoSaída em 4KRápido4–8 saté 4k #audio#fast#dialogue

O Veo 3.1 mais rápido e económico para clips de 4 a 8 segundos com som.

OpenAPI Markdown

Exemplos

Resultado · ~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 créditos da API

Prompt de @Strength04_X no X

Preço

Preço exato

a partir de 0,10 $ / segundo

100 créditos da API / segundo · ≈ 10,47 ₽

8 s ≈ 0,80 $

Este pedido: 4 segundos × 0,15 $ 0,60 $ 600 créditos da API · ≈ 62,82 ₽

Executar · 0,60 $

Cobrado apenas em caso de sucesso; reembolsado automaticamente em caso de falha.

duration 4 s

resolution

Regras de preço

Quando resolution = 4k e generate_audio = true: 0,35 $ / segundo
Quando resolution = 4k: 0,30 $ / segundo
Quando generate_audio = true: 0,15 $ / segundo

Cobrado por segundo de resultado (duration).

Tempo habitual: ~42 s
Endpoint de cotação: POST /quote/{id}

Criar um pedido

Os controlos são gerados a partir do esquema do modelo. O código e o preço são atualizados à medida que os altera.

prompt •obrigatório 789 / 20000

Descrição textual do vídeo pretendido para geração.

duration 4 s

Duração do vídeo de saída.

aspect_ratio predefinição 16:9

Relação entre largura e altura do vídeo gerado.

resolution

Resolução utilizada para o vídeo de saída.

Avançado negative_prompt · safety_tolerance · seed · auto_fix

negative_prompt

Prompt negativo utilizado para orientar a geração de vídeo.

safety_tolerance predefinição 4

Defina a tolerância da moderação de conteúdo entre o nível menos restritivo, 6, e o nível mais rigoroso, 1, que bloqueia a maioria do conteúdo.

seed

Valor seed que inicializa a geração de números aleatórios.

POST /run/veo3.1/fast?wait=20 cotação → 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 este pedido

Chave de API

A sua chave permanece neste navegador: é enviada apenas para a Doitong API e guardada em localStorage apenas se selecionar Lembrar. Lembrar neste navegador Obter uma chave de API

Criado na Doitong

Trabalhos públicos criados com Veo 3.1 pela comunidade Doitong. Reutilize um prompt com um clique.

Trabalhos públicos apresentados: 16

Vídeo

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...

Vídeo

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...

Vídeo

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...

Vídeo

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...

Vídeo

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...

Vídeo

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...

Vídeo

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...

Vídeo

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...

Sobre Veo 3.1 Fast

Veo 3.1 Fast mantém o realismo, o diálogo e a geração de som do Veo, com tempos de renderização mais curtos e um preço muito mais baixo, sendo uma boa predefinição para iteração. 4, 6 ou 8 segundos, 16:9 ou 9:16, a 720p, 1080p ou 4K; o áudio pode ser desligado.

Parâmetros

NomeTipo PredefiniçãoPermitido Descrição

promptobrigatório

Tipostring

≤ 20 000 caracteres

Descrição textual do vídeo pretendido para geração.

aspect_ratioopcional

Tipoenum

Predefinição16:9

16:99:16

Relação entre largura e altura do vídeo gerado.

durationopcional

Tipoenum

Predefinição8s

4s6s8s

Duração do vídeo de saída.

negative_promptopcional

Tipostring | null

Prompt negativo utilizado para orientar a geração de vídeo.

resolutionopcional

Tipoenum

Predefinição720p

720p1080p4k

Resolução utilizada para o vídeo de saída.

generate_audioopcional

Tipoboolean

Predefiniçãotrue

Controla se o vídeo inclui áudio gerado.

seedopcional

Tipointeger | null

Valor seed que inicializa a geração de números aleatórios.

auto_fixopcional

Tipoboolean

Predefiniçãotrue

Reescrita automática de prompts para tentar resolver falhas nas verificações da política de conteúdo ou noutra validação.

safety_toleranceopcional

Tipoenum

Predefinição4

123456

Defina a tolerância da moderação de conteúdo entre o nível menos restritivo, 6, e o nível mais rigoroso, 1, que bloqueia a maioria do conteúdo.

obrigatório

Resultado

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"
  }
}

Os seus ficheiros, a sua escolhaCada outputs[].url é uma cópia no nosso armazenamento: guardada para sempre (paga por GB-mês) ou durante 7 dias gratuitamente, conforme a definição da sua conta ou ?storage=.

A mesma estrutura em todos os modelostype, url, content_type, width, height e duration, tanto para imagens como para vídeo e áudio. output é o próprio objeto de resultado do modelo.

Campos do resultado

video: object {url, content_type, file_name, file_size}Vídeo produzido pelo modelo.

Mais modelos: Texto para vídeo

Para agentes de IA: esta página em Markdown está disponível em https://doitong.com/pt-PT/developers/models/veo3.1/fast.md. Todos os modelos e guias: https://doitong.com/developers/llms.txt