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Grok Imagine Video 1.5 Image to Video

Integracja

Identyfikator modelu xai/grok-imagine-video/v1.5/image-to-video

# 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/xai/grok-imagine-video/v1.5/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
  }'

# 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/xai/grok-imagine-video/v1.5/image-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
  }),
});
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": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/xai/grok-imagine-video/v1.5/image-to-video", 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/pl/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": "xai/grok-imagine-video/v1.5/image-to-video",
  "input": {
    "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
  }
}

Wywołaj model Grok Imagine Video 1.5 Image to Video (xai/grok-imagine-video/v1.5/image-to-video) za pośrednictwem Doitong API. Dokumentacja dla agentów: https://doitong.com/pl/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md

POST https://api.doitong.ru/v1/run/xai/grok-imagine-video/v1.5/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
  "duration": 5,
  "resolution": "480p",
  "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
}

Jeśli status odpowiedzi to "queued" lub "running", odpytuj GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20, aż status zmieni się na "succeeded"; pliki znajdują się w outputs[].url. POST https://api.doitong.ru/v1/quote/xai/grok-imagine-video/v1.5/image-to-video z tym samym ciałem zwraca dokładną cenę przed uruchomieniem.

To żądanie: 0,41 $ 410 kredytów API · ≈ 44,06 ₽ Uruchom na tej stronie

Uzyskaj klucz API

xAI Obraz na wideo 1–15 sdo 1080p #stylized#flexible-length#budget

Animuje obraz, tworząc 1–15-sekundowy klip Grok Imagine w rozdzielczości od 480p do 1080p.

OpenAPI Markdown

Przykłady

Dane wejściowe

Wynik · ~34 s

PromptThree tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.

5 s480p0,41 $ · 410 kredytów API

Prompt od @JayKay65220066 na X

Cena

Dokładna cena

od 0,082 $ / sekunda

82 kredyty API / sekunda · ≈ 8,81 ₽

6 s ≈ 0,492 $

To żądanie: 5 sekund × 0,082 $ 0,41 $ 410 kredytów API · ≈ 44,06 ₽

Uruchom · 0,41 $

Opłata jest naliczana tylko po pomyślnym wykonaniu, a w razie błędu zwracana automatycznie.

duration

resolution

Cena według poziomu

`resolution` = `480p`	0,082 $ / sekunda
`resolution` = `720p`	0,142 $ / sekunda
`resolution` = `1080p`	0,252 $ / sekunda

Nagłówek pokazuje najniższy poziom; wycena uwzględnia dokładne dane wejściowe.

Reguły cenowe

Gdy duration ≤ 1: według resolution: 480p 0,09 $, 720p 0,15 $, 1080p 0,26 $
Gdy duration ≤ 2: według resolution: 480p 0,085 $, 720p 0,145 $, 1080p 0,255 $
Gdy duration ≤ 4: według resolution: 480p 0,084 $, 720p 0,144 $, 1080p 0,254 $
Gdy duration ≤ 7: według resolution: 480p 0,082 $, 720p 0,142 $, 1080p 0,252 $
Gdy duration ≤ 15: według resolution: 480p 0,082 $, 720p 0,142 $, 1080p 0,252 $

Opłata za każdą sekundę wyniku (duration).

Typowy czas: ~34 s
Endpoint wyceny: POST /quote/{id}

Zbuduj żądanie

Elementy sterujące są generowane ze schematu modelu. Kod i cena aktualizują się podczas ich zmiany.

prompt •wymagane 424 / 4096

Tekstowy opis zamierzonych zmian lub ruchu wideo.

image •wymagane image_url

Upuść plik lub

Adres URL obrazu używanego jako dane wejściowe do wygenerowania wideo.

resolution

Rozdzielczość wynikowego wideo.

duration

Długość wideo mierzona w sekundach.

POST /run/xai/grok-imagine-video/v1.5/image-to-video?wait=20 wycena → 0,41 $

# 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/xai/grok-imagine-video/v1.5/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
  }'

# 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/xai/grok-imagine-video/v1.5/image-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
  }),
});
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": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
    "duration": 5,
    "resolution": "480p",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/xai/grok-imagine-video/v1.5/image-to-video", 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": "xai/grok-imagine-video/v1.5/image-to-video",
      "input": {
        "prompt": "Three tiny anthropomorphic kittens sit on a park bench. One combs another’s fur with a tiny brush while the third stands and holds the tip jar out toward the camera, gesturing with its free paw. They suddenly all start waving and meowing excitedly as a leaf floats by. A colorful sign in front reads “Tips for cuteness overload ” Soft afternoon sunlight through trees, realistic fur and expressive faces, gentle camera push.",
        "duration": 5,
        "resolution": "480p",
        "image": "https://content.doitong.com/dev-api/2026/10/21/req_nzwcub22hi2ogzo5re2oeziv/0-oxifbhp_mpiF6W8hOoiFA_QHn6xH5K.png"
      },
      "wait_seconds": 20
    }
  }
}

Uruchom to żądanie

Klucz API

Klucz pozostaje w tej przeglądarce: jest wysyłany tylko do Doitong API i zapisywany (localStorage) tylko po zaznaczeniu opcji Zapamiętaj. Zapamiętaj w tej przeglądarce Uzyskaj klucz API

Utworzone w Doitong

Publiczne prace utworzone za pomocą Grok Imagine przez społeczność Doitong. Użyj ponownie promptu jednym kliknięciem.

Pokazane publiczne prace: 16

Wideo

The camera starts with a close-up on the Uterus's face showing pure exhaustion, then slowly tilts down to reveal the tiny, injured Sperm hobbling into the frame. The Sperm stops and tries to puff out its chest heroically while waving a crutch in the air. As he speaks, he loses his balance and...

Wideo

Камера плавно панорамирует слева направо, открывая вид на просыпающуюся деревню. Жители выходят из домов, обмениваясь приветствиями, пар от их дыхания виден в морозном воздухе. Мальчики похлопывают лошадей по шее, а девочки играют, подбрасывая снег. Движение размеренное, создающее ощущение начала...

Wideo

Устойчивая, статичная камера. Классическая диалоговая последовательность "кадр-контркадр". Без резких движений, подчеркивающих формальность и окончательность ситуации. On-screen dialogue (characters speak with lip-sync): Юрист (voice: Женский голос. Теплый, мелодичный меццо-сопрано с уверенным,...

Wideo

Пальцы Аиши быстро, но немного неуклюже бегают по клавишам, совершая ошибку. Она резко останавливается, сжимая кулаки. Камера совершает быстрый круговой облет вокруг неё, передавая чувство головокружения и фрустрации. Затем она снова кладет руки на клавиши, её взгляд становится жестким и...

Wideo

Тигр медленно поворачивает голову к напарнику, произнося фразу с холодной уверенностью. Камера плавно приближается к лицу тигра. Лёгкий дождь усиливает блики на асфальте. Атмосфера растущей напряжённости. On-screen dialogue (characters speak with lip-sync): Барс (voice: Низкий грубый бас,...

Wideo

Camera slowly pushes in, the boys wave enthusiastically and smile, dynamic and joyful movement. On-screen dialogue (characters speak with lip-sync): Роберт (voice: Звонкий, чистый детский голос с мягким тембром, спокойной интонацией и легкой, дружелюбной энергией.): "Всем привет!"; Рафаэль...

Wideo

Искры от костра взлетают вверх, смешиваясь со звездами. Анастасия Георгиевна мягко гладит Юру по голове и что-то шепчет ему. Камера медленно приближается к их лицам, передавая интимность момента. Огонь мерцает, создавая живые тени на их лицах и на стене строящейся школы за их спинами. Это момент...

Wideo

Палец Елены уверенно прокручивает список товаров в приложении, останавливаясь на продуктах категории «Здоровье». Камера совершает плавный боковой проезд вокруг рук, создавая динамику. На заднем плане мягко переливается свет, имитируя уютную домашнюю обстановку. В конце сцены на экране появляется...

Informacje o Grok Imagine Video 1.5 Image to Video

Grok Imagine Video 1.5 ożywia nieruchomy obraz energetycznym, stylizowanym ruchem, przez dowolny całkowity czas od 1 do 15 sekund. 480p, 720p lub 1080p; kadr zachowuje obraz. Cena rośnie wraz z długością oraz obejmuje niewielką stałą opłatę za obraz wejściowy.

Parametry

Wyślij nazwę kanoniczną albo natywną, nie obie. Nazwy kanoniczne

NazwaTyp DomyślneDozwolone Opis

promptwymagane

Typstring

≤ 4096 znaków

Tekstowy opis zamierzonych zmian lub ruchu wideo.

durationopcjonalne

Typinteger

Domyślne6

1 – 15

Długość wideo mierzona w sekundach.

resolutionopcjonalne

Typenum

Domyślne720p

480p720p1080p

Rozdzielczość wynikowego wideo.

image_urlwymagane image

Typurl · image

Adres URL obrazu używanego jako dane wejściowe do wygenerowania wideo.

wymagane Nazwa kanoniczna, również akceptowana

Parametry plików przyjmują publiczny URL https://, identyfikator URI data: do 10 MB albo file_url przesłanego pliku. Pliki

Wynik

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "xai/grok-imagine-video/v1.5/image-to-video",
  "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": 410,
    "usd": "0.41",
    "charged": 410,
    "refunded": 0
  },
  "input": {
    "prompt": "The fox dashes after the fireflies, they burst into a glowing swirl around it, slow cinematic push in",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "duration": 5,
    "resolution": "480p"
  },
  "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    }
  },
  "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"
  }
}

Twoje pliki, Twój wybórKażdy outputs[].url to kopia w naszej przestrzeni dyskowej: przechowywana bezterminowo (opłata za GB-miesiąc) lub 7 dni bezpłatnie, zgodnie z ustawieniem konta lub ?storage=.

Taki sam format w każdym modelutype, url, content_type, width, height i duration — tak samo dla obrazów, filmów i dźwięku. output to własny obiekt wyniku modelu.

Pola wyniku

video: object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Wideo utworzone przez model.

Więcej modeli: Obraz na wideo

Dla agentów AI: ta strona w formacie Markdown jest dostępna pod adresem https://doitong.com/pl/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md. Wszystkie modele i przewodniki: https://doitong.com/developers/llms.txt