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Veo 3.1 Fast

Comhtháthú

Aitheantas na samhla 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/ga/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
  }
}

Glaoigh ar an tsamhail Veo 3.1 Fast (veo3.1/fast) tríd an Doitong API. Doiciméid do ghníomhairí: https://doitong.com/ga/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
}

Má tá stádas an fhreagra "queued" nó "running", seiceáil GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 arís go dtí go mbeidh sé "succeeded"; tá na comhaid in outputs[].url. Seolann POST https://api.doitong.ru/v1/quote/veo3.1/fast leis an gcorp céanna an praghas beacht roimh an rith.

An t-iarratas seo: $0.60 600 gcreidmheas API · ≈ ₽63.28 Rith ar an leathanach seo

Faigh eochair API

Google Téacs go Físeán Fuaim dhúchasachAschur 4KTapa4–8 ssuas le 4k #audio#fast#dialogue

An Veo 3.1 níos tapúla agus níos saoire do ghearrthóga 4 go 8 soicind le fuaim.

OpenAPI Markdown

Samplaí

Aschur · ~42 s

LeidUltra 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 gcreidmheas API

Leide ón @Strength04_X ar X

Praghas

Praghas cruinn

ó $0.10 / soicind

100 gcreidmheas API / soicind · ≈ ₽10.55

8 s ≈ $0.80

An t-iarratas seo: 4 shoicind × $0.15 $0.60 600 gcreidmheas API · ≈ ₽63.28

Gearrtar táille ar rath amháin; aisíoctar go huathoibríoch í má theipeann air.

duration 4 s

resolution

Rialacha praghsála

Nuair a bhíonn resolution = 4k agus generate_audio = true: $0.35 / soicind
Nuair a bhíonn resolution = 4k: $0.30 / soicind
Nuair a bhíonn generate_audio = true: $0.15 / soicind

Gearrtar táille in aghaidh gach soicind aschuir (duration).

Am tipiciúil: ~42 s
Críochphointe luachana: POST /quote/{id}

Tóg iarratas

Gintear na rialtáin ó scéim na samhla. Nuashonraítear an cód agus an praghas de réir mar a athraíonn tú iad.

prompt •riachtanach 789 / 20000

Cur síos téacs ar an bhfíseán inmhianaithe lena ghiniúint.

duration 4 s

Fad an fhíseáin aschuir.

aspect_ratio réamhshocrú 16:9

Cóimheas leithead-go-airde don fhíseán ginte.

resolution

Taifeach a úsáidtear don fhíseán aschuir.

Ardleibhéal negative_prompt · safety_tolerance · seed · auto_fix

negative_prompt

Leid dhiúltach a úsáidtear chun giniúint físeáin a stiúradh.

safety_tolerance réamhshocrú 4

Socraigh lamháltas modhnóireachta ábhair idir an leibhéal is lú srianta, 6, agus an leibhéal is déine, 1, a chuireann bac ar fhormhór an ábhair.

seed

Luach síl a thosaíonn giniúint uimhreacha randamacha.

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

Rith an t-iarratas seo

Eochair API

Fanann d'eochair sa bhrabhsálaí seo: seoltar chuig Doitong API amháin í agus sábháiltear (localStorage) í ach amháin má chuireann tú tic le Meabhraigh. Cuimhnigh sa bhrabhsálaí seo Faigh eochair API

Déanta ar Doitong

Saothair phoiblí déanta leis an Veo 3.1 ag pobal Doitong. Athúsáid leid le clic amháin.

Saothair phoiblí ar taispeáint: 16

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Físeán

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Físeán

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Físeán

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Físeán

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...

Físeán

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...

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Maidir le Veo 3.1 Fast

Coinníonn Veo 3.1 Fast réalachas, dialóg agus giniúint fuaime Veo le hamanna rindreála níos giorra agus praghas i bhfad níos ísle, a fhágann gur réamhshocrú maith é le haghaidh atriallta. 4, 6 nó 8 soicind, 16:9 nó 9:16, ag 720p, 1080p nó 4K; is féidir fuaim a mhúchadh.

Paraiméadair

AinmCineál RéamhshocrúCeadaithe Cur síos

promptriachtanach

Cineálstring

≤ 20,000 gcarachtar

Cur síos téacs ar an bhfíseán inmhianaithe lena ghiniúint.

aspect_ratioroghnach

Cineálenum

Réamhshocrú16:9

16:99:16

Cóimheas leithead-go-airde don fhíseán ginte.

durationroghnach

Cineálenum

Réamhshocrú8s

4s6s8s

Fad an fhíseáin aschuir.

negative_promptroghnach

Cineálstring | null

Leid dhiúltach a úsáidtear chun giniúint físeáin a stiúradh.

resolutionroghnach

Cineálenum

Réamhshocrú720p

720p1080p4k

Taifeach a úsáidtear don fhíseán aschuir.

generate_audioroghnach

Cineálboolean

Réamhshocrútrue

Rialaíonn sé an gcuirtear fuaim ghinte san fhíseán.

seedroghnach

Cineálinteger | null

Luach síl a thosaíonn giniúint uimhreacha randamacha.

auto_fixroghnach

Cineálboolean

Réamhshocrútrue

Athscríobh uathoibríoch leideanna chun iarracht a dhéanamh teipeanna i seiceálacha beartais ábhair nó i mbailíochtú eile a réiteach.

safety_toleranceroghnach

Cineálenum

Réamhshocrú4

123456

Socraigh lamháltas modhnóireachta ábhair idir an leibhéal is lú srianta, 6, agus an leibhéal is déine, 1, a chuireann bac ar fhormhór an ábhair.

riachtanach

Aschur

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"
  }
}

Do chuid comhad, do roghaIs cóip ar ár stóráil é gach outputs[].url: coinnithe go deo (íoctha in aghaidh GB-mhí) nó ar feadh 7 lá saor in aisce, de réir shocrú do chuntais nó ?storage=.

An cruth céanna ar gach samhailtype, url, content_type, width, height agus duration, d'íomhánna, d'fhíseáin agus d'fhuaim araon. Is é output réad toraidh na samhla féin.

Réimsí aschuir

video: object {url, content_type, file_name, file_size}An físeán a tháirg an tsamhail.

Tuilleadh samhlacha: Téacs go Físeán

Do ghníomhairí AI: tá an leathanach seo mar Markdown ag https://doitong.com/ga/developers/models/veo3.1/fast.md. Gach samhail agus treoir: https://doitong.com/developers/llms.txt