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MiniMax H3 Image to Video

Integra

ID del modello minimax/h3/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/minimax/h3/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.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/minimax/h3/image-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.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": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3/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/it/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": "minimax/h3/image-to-video",
  "input": {
    "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png"
  }
}

Chiama il modello MiniMax H3 Image to Video (minimax/h3/image-to-video) tramite Doitong API. Documentazione per gli agenti: https://doitong.com/it/developers/models/minimax/h3/image-to-video.md

POST https://api.doitong.ru/v1/run/minimax/h3/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
  "duration": 5,
  "resolution": "480P",
  "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png"
}

Se lo stato della risposta è "queued" o "running", interroga GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 finché non diventa "succeeded"; i file si trovano in outputs[].url. POST https://api.doitong.ru/v1/quote/minimax/h3/image-to-video con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.

Questa richiesta: 0,25 $ 250 crediti API · ≈ 26,89 ₽ Esegui in questa pagina

Ottieni la chiave API

MiniMax Da immagine a video Output 4K5–15 sfino a 4K #motion#first-last-frame

Anima un primo fotogramma, un ultimo fotogramma o entrambi in una clip MiniMax H3 di 5-15 secondi, fino a 4K.

OpenAPI Markdown

Esempi

Input

Output · ~36 s

PromptUltra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word "IGNITE" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.

5 s480P0,25 $ · 250 crediti API

Prompt di @CharaspowerAI su X

Prezzo

Prezzo esatto

a partire da 0,05 $ / secondo

50 crediti API / secondo · ≈ 5,38 ₽

5 s ≈ 0,25 $

Questa richiesta: 5 secondi × 0,05 $ 0,25 $ 250 crediti API · ≈ 26,89 ₽

Esegui · 0,25 $

Addebitato solo in caso di successo, rimborsato automaticamente in caso di errore.

duration

resolution

Prezzo per livello

`resolution` = `480P`	0,05 $ / secondo
`resolution` = `768P`	0,06 $ / secondo
`resolution` = `2K`	0,13 $ / secondo
`resolution` = `4K`	0,16 $ / secondo

Il titolo mostra il livello più basso; il preventivo calcola il prezzo del tuo input esatto.

Addebitato per secondo di output (duration).

Tempo tipico: ~36 s
Endpoint del preventivo: POST /quote/{id}

Crea una richiesta

I controlli vengono generati dallo schema del modello. Il codice e il prezzo si aggiornano mentre li modifichi.

prompt •obbligatorio 595 / 50000

Istruzioni testuali per la generazione del video.

image image_url

Trascina un file oppure

URL facoltativo di un'immagine che definisce il fotogramma iniziale e il canvas di output. Se viene fornito solo end_image_url, il canvas viene determinato dal relativo fotogramma finale. Senza nessuna delle due immagini, la generazione usa text-to-video con proporzioni predefinite di 16:9.

resolution

Scegli la risoluzione del video generato, con 2K e 4K ottenuti tramite upscaling di una base 768P. La scelta di 480P o 768P usa invece la generazione nativa.

duration

Durata del video, misurata in secondi.

Avanzate prompt_expansion_mode · target_audio_url · end_image · seed

prompt_expansion_mode predefinito balanced

Livello di riscrittura del prompt prima della generazione: scegli 'quality' per un prompt più ricco che richiede fino a circa 30 secondi oppure 'fast' per un risultato in circa un secondo. Con 'balanced', la scelta viene effettuata per ogni richiesta; 'disabled' disattiva l'espansione.

target_audio_url

Trascina un file oppure

Colonna sonora sostitutiva facoltativa fornita tramite un URL HTTP(S) o un URI dati base64; il clip deve durare almeno 2 secondi e non superare 15 MB. L'audio fornito sostituisce la colonna sonora generata mantenendo invariata la velocità di riproduzione: la durata in eccesso viene rimossa dalla fine e ai clip più brevi viene aggiunto silenzio per raggiungere la durata del video. Per frequenze di campionamento insolitamente elevate può essere eseguito un ricampionamento a 96 kHz.

end_image end_image_url

Trascina un file oppure

URL facoltativo dell'immagine dell'ultimo fotogramma, utilizzabile anche senza un'immagine iniziale. In questa modalità con il solo fotogramma finale, l'immagine determina il canvas di output.

seed

Seed per la generazione casuale; se omesso, ne viene scelto uno casualmente.

POST /run/minimax/h3/image-to-video?wait=20 preventivo → 0,25 $

# 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/minimax/h3/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.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/minimax/h3/image-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.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": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
    "duration": 5,
    "resolution": "480P",
    "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3/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": "minimax/h3/image-to-video",
      "input": {
        "prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
        "duration": 5,
        "resolution": "480P",
        "image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png"
      },
      "wait_seconds": 20
    }
  }
}

Esegui questa richiesta

Chiave API

La tua chiave rimane in questo browser: viene inviata solo al Doitong API e salvata in localStorage solo se selezioni Ricorda. Ricorda in questo browser Ottieni una chiave API

Creato su Doitong

Lavori pubblici creati con MiniMax H3 dalla community di Doitong. Riutilizza un prompt con un clic.

Lavori pubblici mostrati: 16

Close-up shot of a striking model with piercing eyes and flawless skin, a white snake elegantly c... — Close-up shot of a striking model with piercing eyes and flawless skin, a white snake elegantly coiled around her head and neck, its scales glistening in soft, diffused light. The camera gently zooms in, emphasizing the intricate texture of the snake’s scales and the model’s striking facial...

Animate the stickman drawings into a smooth dance animation. The simple black stick figure perfor... — Animate the stickman drawings into a smooth dance animation. The simple black stick figure performs fun rhythmic dance moves — waving its arms, bending knees, jumping lightly, spinning, and swaying side to side in time with upbeat music. Keep the white background clean and minimal. The motion...

A hyper-realistic, cinematic transformation sequence of the man in the uploaded image, sitting in... — A hyper-realistic, cinematic transformation sequence of the man in the uploaded image, sitting in meditation inside a traditional Japanese room. The atmosphere begins to tremble slightly as soft blue light flows around him. From the ground, thousands of magnetic nano-particles rise, shimmering...

A cinematic transformation video of the man. The scene begins with him standing naturally, then l... — A cinematic transformation video of the man. The scene begins with him standing naturally, then looking down at his hands as glowing holographic projections appear around his body. Mechanical parts of the Iron Man armor start assembling piece by piece with smooth animation: chest plate forming,...

An ultra-epic anime cinematic of Luffy’s greatest enemy unleashing a terrifying blind rage, rampa... — An ultra-epic anime cinematic of Luffy’s greatest enemy unleashing a terrifying blind rage, rampaging uncontrollably against nature itself. His gigantic body is surrounded by a storm of black and crimson energy, crackling with lightning that scorches the ground. His roar shakes the heavens,...

A fair-skinned red-haired woman with freckles tightly embraces a majestic white tiger with faint ... — A fair-skinned red-haired woman with freckles tightly embraces a majestic white tiger with faint reddish stripes. They remain close, perfectly synchronized in stillness. The woman blinks slowly, slightly tilting her head with a serious and intense expression. The tiger breathes gently — its...

The snowboarder is riding across massive, fluffy white clouds as if they were snow-covered mounta... — The snowboarder is riding across massive, fluffy white clouds as if they were snow-covered mountains, with dramatic lighting and deep shadows adding volume and realism. The background shows a stunning blue sky with scattered soft clouds and subtle light rays. crisp cinematic quality, vivid...

Video

Используй это изображение как точный референс. Вертикальное реалистичное видео 9:16, тёплая кинематографичная ночная сцена в спальне. Полностью сохранить лица Ани и Павла, их внешность, причёски, одежду, освещение, кровать, панорамные окна и ночной город. Камера статичная, средний крупный план....

Informazioni su MiniMax H3 Image to Video

MiniMax H3 image-to-video prende un primo fotogramma, un ultimo fotogramma o entrambi e aggiunge movimento vivace ed espressivo; il canvas segue l'immagine fornita. 480P o 768P nativi, con upscaling a 2K e 4K del risultato 768P, 5-15 secondi, riscrittura opzionale del prompt e traccia audio opzionale da fissare come colonna sonora.

Parametri

Invia il nome canonico oppure il nome nativo, non entrambi. Nomi canonici

NomeTipo PredefinitoConsentiti Descrizione

promptobbligatorio

Tipostring

≤ 50.000 caratteri

Istruzioni testuali per la generazione del video.

durationfacoltativo

Tipointeger

Predefinito5

5 – 15

Durata del video, misurata in secondi.

resolutionfacoltativo

Tipoenum

Predefinito2K

480P768P2K4K

Scegli la risoluzione del video generato, con 2K e 4K ottenuti tramite upscaling di una base 768P. La scelta di 480P o 768P usa invece la generazione nativa.

seedfacoltativo

Tipointeger | null

Seed per la generazione casuale; se omesso, ne viene scelto uno casualmente.

prompt_expansion_modefacoltativo

Tipostring | null

Predefinitobalanced

Livello di riscrittura del prompt prima della generazione: scegli 'quality' per un prompt più ricco che richiede fino a circa 30 secondi oppure 'fast' per un risultato in circa un secondo. Con 'balanced', la scelta viene effettuata per ogni richiesta; 'disabled' disattiva l'espansione.

target_audio_urlfacoltativo

Tipourl · audio

Colonna sonora sostitutiva facoltativa fornita tramite un URL HTTP(S) o un URI dati base64; il clip deve durare almeno 2 secondi e non superare 15 MB. L'audio fornito sostituisce la colonna sonora generata mantenendo invariata la velocità di riproduzione: la durata in eccesso viene rimossa dalla fine e ai clip più brevi viene aggiunto silenzio per raggiungere la durata del video. Per frequenze di campionamento insolitamente elevate può essere eseguito un ricampionamento a 96 kHz.

image_urlfacoltativo image

Tipourl · image

URL facoltativo di un'immagine che definisce il fotogramma iniziale e il canvas di output. Se viene fornito solo end_image_url, il canvas viene determinato dal relativo fotogramma finale. Senza nessuna delle due immagini, la generazione usa text-to-video con proporzioni predefinite di 16:9.

end_image_urlfacoltativo end_image

Tipourl · image

URL facoltativo dell'immagine dell'ultimo fotogramma, utilizzabile anche senza un'immagine iniziale. In questa modalità con il solo fotogramma finale, l'immagine determina il canvas di output.

obbligatorio Nome canonico, accettato anche

I parametri file accettano un URL pubblico https://, un URI data: fino a 10 MB oppure il file_url di un caricamento. File

Output

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "minimax/h3/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": 250,
    "usd": "0.25",
    "charged": 250,
    "refunded": 0
  },
  "input": {
    "prompt": "The camera slowly pulls back as the fox runs off the path into the misty forest, fireflies scatter",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "duration": 6,
    "resolution": "768P"
  },
  "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
    },
    "expanded_prompt": "string"
  },
  "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"
  }
}

I tuoi file, la tua sceltaOgni outputs[].url è una copia nella nostra archiviazione: conservata per sempre (a pagamento per GB-mese) oppure 7 giorni gratuitamente, in base all'impostazione dell'account o a ?storage=.

Stessa struttura per ogni modellotype, url, content_type, width, height e duration, per immagini, video e audio. output è l'oggetto risultato del modello.

Campi dell'output

video: object {url, content_type, file_name, file_size}Video prodotto dal modello.
expanded_prompt: string | nullPrompt espanso pronto per il modello, oppure null se non è disponibile alcun testo espanso. I casi null sono: espansione disabilitata, espansione che non ha apportato modifiche ed espansione gestita internamente dall'API ospitata del modello.

Altri modelli: Da immagine a video

Per gli agenti AI: questa pagina in Markdown è disponibile all'indirizzo https://doitong.com/it/developers/models/minimax/h3/image-to-video.md. Tutti i modelli e le guide: https://doitong.com/developers/llms.txt