Seedance 2.0 Mini
ᠵᡠᠸᡝᠪᡠᠮᠪᡳ
bytedance/seedance-2.0/mini/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.com/v1/run/bytedance/seedance-2.0/mini/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"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.0/mini/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedance-2.0/mini/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.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "bytedance/seedance-2.0/mini/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Seedance 2.0 Mini ᠮᠣᠳᡝᠯ (bytedance/seedance-2.0/mini/reference-to-video) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/bytedance/seedance-2.0/mini/reference-to-video.md
POST https://api.doitong.com/v1/run/bytedance/seedance-2.0/mini/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"
}
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://api.doitong.com/v1/quote/bytedance/seedance-2.0/mini/reference-to-video ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.
ᠵᠠᠨᡳ ᡥᠠᠯᠠᠮᠠ ᡥᡡᠯᠠᠨᡳ ᡶᡳᠯᡝ: $2.321 2,321 API ᠺᠷᡝᡩᡳᠲ 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᠉
Doitong ᡩᡝ ᠪᡠᠶᡝᠮᡝ
Doitong ᡤᡝᠮᡠᠨᡳ Seedance 2.0 ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᡝᠮᡠ ᡤᡳᠯᠠᠨ ᡩᡝ ᡩᠠᡵᠠᠮᡝ
ᠰᡠᠨᡤᠠ
Subject: Man in a bunny suit, frozen city crowd Context: Urban street, all people, vehicles, and trees are frozen mid-action Action: Only the bunny-suited man moves, walking and waving in front of an unresponsive man in a black suit Style: Cinematic, intense stillness, Quicksilver/X-Men, Matrix...
ᠰᡠᠨᡤᠠ
This is a cinematic scene filmed with a hand-held shaky camera. The entire world is completely frozen in time. Nothing moves. Absolutely nothing. All people are frozen, cars are frozen, bicycles are frozen, traffic lights are frozen, trees and leaves are frozen, wind is frozen, shadows are...
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A close-up portrait of a striking cyberpunk woman with sleek dark hair partially wet and falling around her face. She’s wearing glossy, high-tech neon visor goggles with a vivid color gradient — bright yellow, orange, and pink reflecting glowing city lights. Her expression is confident and...
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Ultra-realistic scene featuring miniature construction workers in orange vests and hard hats, actively working on a giant [pizza]. The tiny workers are using small tools, cranes, and machines to [assemble]. The [pizza] is placed on a metal surface or kitchen countertop. Steam or particles rise...
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Аня вздрагивает от трезвона десяти будильников, резко садится в кровати, хлопает по ним руками в попытке выключить, но они продолжают пищать, она в панике оглядывается. Камера медленно приближается с низкого угла от ног кровати к лицу, создавая ощущение нарастания хаоса. Лучи утреннего солнца...
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Анна мягко гладит спящую собаку и смотрит на заходящее солнце с усталой, но счастливой улыбкой. Камера медленно отъезжает назад, охватывая весь уютный дом и сад. Свет солнца постепенно затухает, переходя в сумерки. Финальный кадр передает чувство семейного тепла и завершенности прекрасного дня....
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Аня падает на корточки у двери, лихорадочно надевает разные носки, роняет помаду из сумки, вскакивает, хватает ключи. Камера кружит вокруг нее на 180 градусов на уровне колен, ускоряясь. Ключи звенят, сумка болтается. Эмоциональный бит — пик хаоса с ноткой абсурдного юмора. Dialogue in this...
ᠰᡠᠨᡤᠠ
Буня несется во весь опор, виляя хвостом, сосиска забавно болтается у него в пасти. Камера быстро следует за ним на уровне земли, создавая эффект скорости. Анна и дети вбегают в кадр и выбегают из него, размахивая руками. Пыль слегка поднимается из-под лап. Сцена наполнена комичным драйвом и...
ᠰᡠᠨᡤᠠ
Two sandboarders racing down massive golden sand dunes, carving aggressively in wide S-curves, heading directly toward the camera in a low, dramatic angle. They are captured in mid-motion, kicking up thick trails of sand behind their boards. Both riders wear full protective sandboarding suits in...
ᠰᡠᠨᡤᠠ
Руки детей мелькают над столом, хватая еду, стакан с соком слегка покачивается. Камера медленно вращается над столом, создавая ощущение суматохи. Буня внизу нетерпеливо подпрыгивает, надеясь на кусочек. Свет играет на стеклянных стаканах, создавая бегающие зайчики. Кадр передает живую энергию...
ᠰᡠᠨᡤᠠ
A high-fashion cinematic video scene in slow motion, set on a wide white desert with fine rippled sand under a deep blue sky. A tall Black male model and a woman walk together in full-body view, directly toward the camera. The male model wears a dramatic flowing red trench coat, matching tailored...
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A fashionable young woman with black hair, walking confidently down a modern city street. She is wearing stylish everyday fashion — a black turtleneck top, oversized gray blazer, and wide-leg black trousers with chunky black boots. Her outfit is monochrome, mostly black and gray, with minimalist...
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Scene: On a large metal grill surface, miniature construction workers in orange safety vests and hard hats are preparing a giant steak. The raw meat, marbled and richly textured, rests across the hot grill. Some workers are spreading seasoning using tiny wheelbarrows filled with salt and pepper,...
ᠰᡠᠨᡤᠠ
Subject: Young woman with closed eyes Context: Surrounded by goldfish swimming in the air Action: Portraiture in a dreamy aesthetic Style: Ethereal, artistic, reminiscent of fine art photography Camera motion (optional): Composition (optional): Shallow depth of field Ambiance (optional): Soft...
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один непрерывный кинематографический план от кадра 1 к кадру 2 без падения стекол. Кристалл над белым креслом вначале неподвижно парит, внутри светится золотисто-белое ядро. По мере трансформации по граням распространяется сеть трещин, оболочка раскалывается на крупные стеклянные пластины,...
ᠰᡠᠨᡤᠠ
Create a 6-second cinematic vertical science-fiction thriller video in 9:16 format. A 35-year-old male astronaut named Alex Rain lies unconscious on the metallic floor of a damaged spaceship emergency corridor. He has short dark hair, light stubble, tired blue-gray eyes, pale skin and an...
ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ
ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ
/run/bytedance/seedance-2.0/mini/reference-to-video?wait=20
ᠵᠠᠯᡳᠨ → $2.321
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/bytedance/seedance-2.0/mini/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"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.0/mini/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bytedance/seedance-2.0/mini/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": "bytedance/seedance-2.0/mini/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"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
Seedance 2.0 Mini ᡠᡵᡝᠮᡝ
ᡥᡡᠯᠠᡵᠠᡳ ᡳᠯᠠᠨ ᡤᡝᠰᡝᡳ ᠪᠠᠴᡳᡥᠠ ᡳᠨᡠ ᠠᠮᠠᠯᡤᠠᠨ ᡩᡝ ᡝᠯᡝᡥᡝ ᠪᠠᠶᠠᠨᠠᡳ ᠪᠠᠰᡠᠴᡳᠯᠠᠨ ᠪᡝ ᡤᠠᡵᠠᠯᠠᡵᠠᠩᡤᡝ: ᡳᠯᡝ 9 `image_urls`, ᡤᡡᠴᡳ 3 `video_urls` ᠸᡝᡳᠯᡝ 3 `audio_urls`, ᠠᠮᠠᠯᡤᠠᠨ ᡩᡝ @Image1, @Video1, @Audio1 ᠵᡝᡵᡤᡳ ᠵᠠᠯᡳᠨ ᡤᠠᡵᠠᠯᠠᡵᠠᠩᡤᡝ. ᠵᠠᠯᠠᠨ 480p ᠠᠯᡳ 720p, auto ᠠᠯᡳ 4 ᠴᡳ 15 ᠰᡝᡵᡝᠩᡤᡝ, ᠸᡝᡳᠯᡝ 21:9 ᠴᡳ 9:16 ᠪᡝ ᡳᠯᡤᠠᠨᠠᠮᠪᡳ. ᠵᠠᠯᡳᠨ ᡩᡝ ᠠᠮᠪᠠᠨ ᠵᠠᠪᠰᡠᡵᠠᠨ ᠵᠠᠯᠠᠨ ᡝᠯᡤᡝᠮᠪᡳ.
ᠵᠠᡴᡠᠨ
ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ
promptᡴᠠᠷᠠᡴᡡ
image_urlsᠵᡠᠯᡝ
images
video_urlsᠵᡠᠯᡝ
videos
audio_urlsᠵᡠᠯᡝ
audios
resolutionᠵᡠᠯᡝ
durationᠵᡠᠯᡝ
aspect_ratioᠵᡠᠯᡝ
generate_audioᠵᡠᠯᡝ
codecᠵᡠᠯᡝ
end_user_idᠵᡠᠯᡝ
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": "bytedance/seedance-2.0/mini/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": 2321,
"usd": "2.321",
"charged": 2321,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"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
},
"seed": 42
},
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
- video
- object {url, content_type, file_name, file_size}ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉
- seed
- integerᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉
ᡝᠯᡤᡳ Seedance 2.0 ᡠᠯᡤᡳᠨ
ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡩᠠᠯᡳᠨ ᡩᡝ ᠰᡠᠨᡤᠠ
AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/bytedance/seedance-2.0/mini/reference-to-video.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt