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MiniMax H3 Image to Video

Integrar

ID dal model 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/rm/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"
  }
}

Cloma il model MiniMax H3 Image to Video (minimax/h3/image-to-video) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/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"
}

Sche il status da la resposta è "queued" u "running", fa polling GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://api.doitong.ru/v1/quote/minimax/h3/image-to-video cun il medem body returna il pretsch exact avant l'execuziun.

Questa dumonda: $0,25 250 credits API · ≈ ₽26,89 Lantschar sin questa pagina

Obtegna ina clav API

MiniMax Maletg a video Output 4K5–15 sfin a 4K #motion#first-last-frame

Animescha in prim frame, in ultim frame u omadus en in clip MiniMax H3 da 5 fin 15 secundas, fin a 4K.

OpenAPI Markdown

Exempels

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 s480P$0,25 · 250 credits API

Prompt da @CharaspowerAI sin X

Pretsch

Pretsch exact

a partir da $0,05 / secunda

50 credits API / secunda · ≈ ₽5,38

5 s ≈ $0,25

Questa dumonda: 5 secundas × $0,05 $0,25 250 credits API · ≈ ₽26,89

Executar · $0,25

Facturà mo en cas da success, rembursà automaticamain en cas d'ina errur.

duration

resolution

Pretsch tenor stgalim

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

Il titel mussa il stgalim il pli bass; la calculaziun fixescha il pretsch per tes input exact.

Facturà per secunda d'output (duration).

Temp tipic: ~36 s
Endpoint da calculaziun: POST /quote/{id}

Construir ina dumonda

Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.

prompt •obligatori 595 / 50000

Instrucziuns textualas per generar il video.

image image_url

Trametta in datoteca u

URL d'in maletg facultativ che definescha il frame d'avertura e la surfatscha da l'output. Sche end_image_url vegn furnì sulet, fixescha ses frame final la surfatscha. Senza in dals dus maletgs, la generaziun utilisescha text-to-video cun ina relaziun d'aspect standard da 16:9.

resolution

Tscherna la resoluziun dal video generà, cun 2K e 4K obtegnids tras upscaling d'ina basa 768P. La selecziun da 480P u 768P utilisescha percunter generaziun nativa.

duration

Lunghezza dal video, mesirada en secunda.

Avanzà prompt_expansion_mode · target_audio_url · end_image · seed

prompt_expansion_mode standard balanced

Sforz per la rescrita dal prompt avant la generaziun: tscherna 'quality' per in prompt pli ritg che po durar fin a circa 30 secunda, u 'fast' per in resultat en circa ina secunda. Cun 'balanced', la tscherna vegn fatga per dumonda; 'disabled' deactivescha l'expansiun.

target_audio_url

Trametta in datoteca u

Banda sonora substitutiva facultativa furnida via in URL HTTP(S) u ina data URI base64; il clip sto durar almain 2 secunda ed esser pli pitschen che 15 MB. L'audio furnì remplazza la banda sonora generada a la medema spertadad da reproducziun: la durada excedenta vegn allontanada da la fin, e clips pli curts survegnan silenzi per cuntanscher la durada dal video. Ina resamplaziun a 96 kHz po avair lieu per frequenzas da samplaziun insolitamain autas.

end_image end_image_url

Trametta in datoteca u

URL d'in maletg dal frame final facultativ, utilisabel er senza maletg da partenza. En quest modus da keyframe final sulet, quest maletg fixescha la surfatscha da l'output.

seed

Sem per la generaziun casuala; sche omess, vegn el tschernì casualmain.

POST /run/minimax/h3/image-to-video?wait=20 calculaziun → $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
    }
  }
}

Executar questa dumonda

Clav API

Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Memorisar en quest navigatur Obtegnair ina clav API

Fatg sin Doitong

Ovras publicas fatgas cun MiniMax H3 da la communitad Doitong. Reutilisescha in prompt cun in clic.

Ovras publicas mussadas: 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....

Davart MiniMax H3 Image to Video

MiniMax H3 image-to-video retschaiva in prim frame, in ultim frame u omadus e cumplettescha moviment viv e expressiv; la tela suonda il maletg furnì. Nativ 480P u 768P, cun upscales 2K e 4K dal resultat 768P, 5 fin 15 secundas, riscrittira opziunala dal prompt ed ina pista audio opziunala da fixar sco colonna sonora.

Parameters

Invia u il num canonic u il num nativ, betg omaduas. Nums canonics

NumTip StandardPermess Descripziun

promptobligatori

Tipstring

≤ 50 000 caracters

Instrucziuns textualas per generar il video.

durationopziunal

Tipinteger

Standard5

5 – 15

Lunghezza dal video, mesirada en secunda.

resolutionopziunal

Tipenum

Standard2K

480P768P2K4K

Tscherna la resoluziun dal video generà, cun 2K e 4K obtegnids tras upscaling d'ina basa 768P. La selecziun da 480P u 768P utilisescha percunter generaziun nativa.

seedopziunal

Tipinteger | null

Sem per la generaziun casuala; sche omess, vegn el tschernì casualmain.

prompt_expansion_modeopziunal

Tipstring | null

Standardbalanced

Sforz per la rescrita dal prompt avant la generaziun: tscherna 'quality' per in prompt pli ritg che po durar fin a circa 30 secunda, u 'fast' per in resultat en circa ina secunda. Cun 'balanced', la tscherna vegn fatga per dumonda; 'disabled' deactivescha l'expansiun.

target_audio_urlopziunal

Tipurl · audio

Banda sonora substitutiva facultativa furnida via in URL HTTP(S) u ina data URI base64; il clip sto durar almain 2 secunda ed esser pli pitschen che 15 MB. L'audio furnì remplazza la banda sonora generada a la medema spertadad da reproducziun: la durada excedenta vegn allontanada da la fin, e clips pli curts survegnan silenzi per cuntanscher la durada dal video. Ina resamplaziun a 96 kHz po avair lieu per frequenzas da samplaziun insolitamain autas.

image_urlopziunal image

Tipurl · image

URL d'in maletg facultativ che definescha il frame d'avertura e la surfatscha da l'output. Sche end_image_url vegn furnì sulet, fixescha ses frame final la surfatscha. Senza in dals dus maletgs, la generaziun utilisescha text-to-video cun ina relaziun d'aspect standard da 16:9.

end_image_urlopziunal end_image

Tipurl · image

URL d'in maletg dal frame final facultativ, utilisabel er senza maletg da partenza. En quest modus da keyframe final sulet, quest maletg fixescha la surfatscha da l'output.

obligatori Num canonic, er acceptà

Ils parameters da datotecas acceptan ina URL publica https://, ina URI data: fin a 10 MB u il file_url d'ina chargiada. Datotecas

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"
  }
}

Tias datotecas, tia decisiunMintga outputs[].url è ina copia en nossa memorisaziun: conservada per adina (pajà per GB-mes) u 7 dis gratuitamain, tenor la configuraziun dal conto u ?storage=.

La medema structura per mintga modeltype, url, content_type, width, height e duration, tant per maletgs sco per video e audio. output è l'object da resultat dal model sez.

Champs da l'output

video: object {url, content_type, file_name, file_size}Video producì dal model.
expanded_prompt: string | nullPrompt expandì pront per il model, u null sche nagin text expandì è disponibel. Ils cas null èn l'expansiun deactivada, l'expansiun senza midada e l'expansiun tractada internamain da l'API ospitada dal model.

Dapli models: Maletg a video

Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/minimax/h3/image-to-video.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt