MiniMax H3 Image to Video
Integrar
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://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/h3/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
"duration": 5,
"resolution": "480P",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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://vit.doitong.com/api/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://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://vit.doitong.com/api/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 Lantschar sin questa pagina
Tia nova clav API. Quest vegn mussada mo ussa ed è gia en il code ed en il champ da la clav API sutvart. Mantegna ella secreta: na la metta mai en code che vegn exequì en in navigatur.
Exempels
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.
Construir ina dumonda
Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.
/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://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/h3/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Ultra cinematic wide shot: A vast field of burning embers stretches into darkness. Suddenly, an enormous wall of fire races across the ground, sending billions of glowing sparks into the air. The flames twist into a gigantic rotating fire vortex hundreds of feet high. Molten embers, smoke, and liquid fire spiral together, naturally forging the word \"IGNITE\" from blazing flames. The letters burn brighter and brighter before erupting into a colossal shockwave that fills the screen with fire and incandescent particles. Hollywood fire simulation, ultra-realistic VFX, blockbuster title reveal.",
"duration": 5,
"resolution": "480P",
"image": "https://content.doitong.com/dev-api/2026/10/21/req_j9dik7xsuoammbgw6brdgafv/0-YyIruCJVEfXsz3wKufKD7_kmRHee8d.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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
Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API
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
promptobligatori
durationopziunal
resolutionopziunal
seedopziunal
prompt_expansion_modeopziunal
target_audio_urlopziunal
image_urlopziunal
image
end_image_urlopziunal
end_image
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
{
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
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.
Autras variantes MiniMax H3
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