H3 Max Reference to Video
ᠵᡠᠸᡝᠪᡠᠮᠪᡳ
minimax/h3-max/reference-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-max/reference-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/h3-max/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3-max/reference-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/mnc/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-max/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}
}
H3 Max Reference to Video ᠮᠣᠳᡝᠯ (minimax/h3-max/reference-to-video) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/minimax/h3-max/reference-to-video.md
POST https://api.doitong.ru/v1/run/minimax/h3-max/reference-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://api.doitong.ru/v1/quote/minimax/h3-max/reference-to-video ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.
ᠵᠠᠨᡳ ᡥᠠᠯᠠᠮᠠ ᡥᡡᠯᠠᠨᡳ ᡶᡳᠯᡝ: $0.40 400 API ᠺᠷᡝᡩᡳᠲ · ≈ ₽42.19 ᠰᡳᠨᡳ ᡶᡳᠯᡝ ᠵᠠᠯᡤᠠᠨ ᠠᠰᡠᠮᠪᡳᠨᡳ ᠠᠯᡳᠮᠪᡳ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ
ᠰᡳᠨᡳ ᠵᠠᠮᡠᠰᡳᠨ API ᠵᡳᡵᡤᠠ. ᡝᠯᡝ ᡝᠨᡩᡝ ᡳᠯᡤᠠᠮᠪᡳ ᡝᡵᡝ ᠮᡠᠨᡩᡝ ᡴᠣᡩᡝ ᡩᠠᠮᡠ ᠮᡝᠨᡩᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᠠᠮᡪᡳ ᡳᠨᡠ API ᠵᡳᡵᡤᠠ ᡩᡝᠪᡨᡝᡵᡝ ᡩᡝ ᠠᡴᡠ᠉ ᡳᠨᡠ ᡝᡵᡝᠩᡤᡝ ᠠᠮᠪᠠᠨ ᠮᡠᠨᡩᡝ ᠪᡝ ᠠᠰᡠᡵᠠᠮᠪᡳ: ᠮᡠᡵᡝ ᡩᠠᠮᡠ ᠪᡠᠶᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᡩᡝ ᠰᡳᠨᡩᡝᠮᡝ ᠠᠪᡠᠮᡝ ᠰᠠᠮᡪᡳ᠉
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ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ
ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ
/run/minimax/h3-max/reference-to-video?wait=20
ᠵᠠᠯᡳᠨ → $0.40
# 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-max/reference-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/minimax/h3-max/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/minimax/h3-max/reference-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-max/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
},
"wait_seconds": 20
}
}
}
ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ
ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ
H3 Max Reference to Video ᡠᡵᡝᠮᡝ
ᡝᡵᡝ ᡥᡝᡩᡝᠨ ᡝᡩᡠᠨ ᠪᡝ ᡩᠠᡥᠠᠮᡝ ᠰᡠᠨᡤᠠ ᠪᡝ ᠪᠠᠨᠵᡳᠪᡠᠮᠪᡳ: ᡠᡩᡝᡵᡝ ᡩᡝ ᠙ ᡤᠠᠳᠠᠨ, ᠓ ᠰᡠᠨᡤᠠ, ᠓ ᡤᡳᠰᡠᠨ, ᡠᡥᡝᡵᡳ ᠑᠒ ᡶᡳᠯᡝ ᠪᠠᡥᠠᠪᡠᠮᠪᡳ᠉ ᡥᡡᠯᠠᠨ ᡩᡝ ᡝᡵᡝᠪᡝ Image 1, Video 1, Audio 1 ᠰᡝᠮᡝ ᡥᡡᠯᠠᠮᠪᡳ᠉ ᡠᠵᡠᡳ ᡶᡳᠯᡝᠮᡝ, ᡩᡠᠯᡳᠮᠠᡳ ᡶᡳᠯᡝᠮᡝ (`middle_frame_time` ᡩᡝ ᠪᡳᠰᡳᡵᡝ `middle_image_url`), ᡩᡠᠪᡝᡳ ᡶᡳᠯᡝᠮᡝ ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠴᡳ ᠣᠮᠪᡳ, ᡝᡵᡝ ᠨᡳ ᡩᡝᡵᡳᠪᡠᠨ, ᡩᡠᠯᡳᠮᠠ, ᡩᡠᠪᡝ ᠪᡝ ᡨᠣᡴᡨᠣᠪᡠᠮᠪᡳ᠉ `duration` ᡥᡝᡩᡝᠨ ᠐.᠙᠒ ᡩᡝᡵᡳ ᠑᠕ ᠰᡝᡴᡠᠨᡩ ᠪᡳ, `aspect_ratio` ᠪᡝ ᡥᡡᠸᠠᠯᡳᠶᠠᠮᠪᡠᠮᡝ ᠮᡠᡨᡝᠮᠪᡳ᠉
ᠵᠠᡴᡠᠨ
ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ
promptᡴᠠᠷᠠᡴᡡ
reference_image_urlsᠵᡠᠯᡝ
images
reference_video_urlsᠵᡠᠯᡝ
reference_audio_urlsᠵᡠᠯᡝ
image_urlᠵᡠᠯᡝ
image
middle_image_urlᠵᡠᠯᡝ
middle_frame_timeᠵᡠᠯᡝ
end_image_urlᠵᡠᠯᡝ
end_image
durationᠵᡠᠯᡝ
resolutionᠵᡠᠯᡝ
seedᠵᡠᠯᡝ
enable_safety_checkerᠵᡠᠯᡝ
prompt_expansion_modeᡴᠠᠷᠠᡴᡡ
aspect_ratioᠵᡠᠯᡝ
reference_conditionsᠵᡠᠯᡝ
reference_conditions[].typeᡴᠠᠷᠠᡴᡡ
reference_conditions[].urlᡴᠠᠷᠠᡴᡡ
ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ
ᠪᡠᠶᡝᠮᡝ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "minimax/h3-max/reference-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": 400,
"usd": "0.40",
"charged": 400,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"prompt_expansion_mode": "balanced"
},
"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",
"seed": 42,
"timings": {}
},
"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"
}
}
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
- video
- object {url, content_type, file_name, file_size}ᠮᠣᡩᡝᠯ ᡳ ᠪᡠᠶᡝᡥᡝ ᠰᡠᠨᡤᠠ᠉
- expanded_prompt
- string | nullᠮᠣᠳᡝᠯᡩᡝ ᠵᠠᠪᡠᠨ ᡥᡡᠯᠠᠨ, ᠠᡳ ᠵᠠᠰᡠᠨ ᠠᠮᠠᠯᡤᠠᠮᡝ null. ᠵᠠᠰᡠᠨ ᠵᠠᠪᡠᠨ ᠠᠮᠠᠰᡥᠠ, ᠵᠠᠰᡠᠨ ᠠᠮᠠᠯᡤᠠᠮᡝ ᠠᠮᠠᠨ ᠪᡝ ᠠᠮᠠᠯᡤᠠᠮᠪᡳ, ᠠᡳ ᠮᠣᠳᡝᠯᡳ ᠮᠠᠩᡤᠠᠯᠠᠮᠪᡳ.
- seed
- integerᠪᡠᠶᡝᠮᡝᠨ ᡳ ᠰᡠᠯᡩᡝ ᠪᡝ ᠮᡝᡩᡝᡵᡝᠮᡝ ᠪᡳᠮᡝᡴᡝ ᠵᡠᠯᡝ ᠰᠠᠨᠵᡠᠮᡝᠨ᠃
- timings
- object | nullᠰᡝᡴᡠᠨᡩ ᡳ ᡳᠯᡤᠠᠨ ᠪᡝ ᠠᠨᡳᠶᠠᠨ ᡳ ᠮᠠᠩᡤᡳ ᠵᠠᠯᠠᠨ ᡳ ᡤᡝᡪᡳᠯᡝᠨ ᡩᡝ ᠵᠠᠪᡠᠰᡠ ᡩᡝ ᡳᠯᠠᠨᠠᠮᡝ ᠪᡳᠮᡝᡴᡝ ᠵᡠᠯᡝᠮᡝ ᡳᠯᡤᠠᠨᠠᠮᡝ ᠪᡳᠮᡝ᠂ ᡠᠯᡥᡳ ᠠᠨᡳᠶᠠᠨ ᡳ ᠮᠠᠩᡤᡳ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ ᠵᠠᠪᡠᠰᡠ ᠸᠠᠯᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡳᠯᡤᠠᠨᠠᠮᡝ ᠪᡳᠮᡝ᠂ ᡝᡵᡝ ᠠᠮᡤᠠᠨ ᡳ 'inference' ᠪᡝ ᠵᡳᠯᡤᠠᠨ ᡩᡝ DiT ᡩᡝᠨᡠᠰᡳᠨᡤ ᡳ ᡥᡡᠯᡥᠠᠨ ᠵᠠᠯᠠᠨ ᡳ ᠠᠴᠠᠨᠠᠮᡝ ᠪᡠᠵᡝᠨ ᠪᡝ ᠯᠠᠩᡤᡳᠯᠠᠮᡝ ᠰᡠᠯᡩᡝᠮᡝ᠃
ᡝᠯᡤᡳ Hailuo 03 New Turbo ᡠᠯᡤᡳᠨ
ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡩᠠᠯᡳᠨ ᡩᡝ ᠰᡠᠨᡤᠠ
AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/minimax/h3-max/reference-to-video.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt