Seedance 2.0 US Reference to Video
Integra
bytedance/seedance-2.0/us/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/bytedance/seedance-2.0/us/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.0/us/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.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",
}
# 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/us/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/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": "bytedance/seedance-2.0/us/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Chiama il modello Seedance 2.0 US Reference to Video (bytedance/seedance-2.0/us/reference-to-video) tramite Doitong API. Documentazione per gli agenti: https://doitong.com/it/developers/models/bytedance/seedance-2.0/us/reference-to-video.md
POST https://api.doitong.ru/v1/run/bytedance/seedance-2.0/us/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"
}
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/bytedance/seedance-2.0/us/reference-to-video con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.
File come nell'esempio: 5,571 $ 5571 crediti API · ≈ 599,33 ₽ i tuoi file vengono misurati prima dell'esecuzione Esegui in questa pagina
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Creato su Doitong
Lavori pubblici creati con Seedance 2.0 US dalla community di Doitong. Riutilizza un prompt con un clic.
Video
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...
Video
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...
Video
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...
Video
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...
Video
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...
Video
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,...
Video
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...
Video
photorealistic, live-action film, real actress, ARRI Alexa look, desaturated cold tones, soft natural lighting, subtle dust in air, volumetric haze, consistent city destruction young fragile woman, pale skin, long dark ash-blonde hair, slightly messy, dirty torn gray nightgown, barefoot, natural...
Video
Subject: Young man with a beard, large iridescent soap bubbles. Context: Outdoor park at sunset, blurred green foliage. Action: Man gently blows a large bubble from suds on his hand, bubbles float up in slow motion. Style: Cinematic, dreamlike, magical realism, ultra realistic. Camera motion:...
Video
A cute young woman with curly red hair and freckles, wearing a simple white t-shirt, sitting in a stylish, modern café. She is about to take a bite of a large juicy burger, holding it with both hands. The lighting is warm and cinematic, with soft ambient glows from hanging lights in the...
Фокус камеры плавно переходит с капель на стекле на отражение глаз Артёма, а затем обратно. Капли медленно и ритмично стекают вниз, создавая гипнотический эффект. Вспышка молнии на мгновение освещает все стекло, делая капли похожими на россыпь бриллиантов, после чего всё снова погружается в...
Банан подходит к друзьям у бара, они радостно приветствуют друг друга, ударяя кулачками. Одна из виноградинок делает забавное танцевальное движение на стуле. Камера совершает плавный круговой облет на 360 градусов вокруг компании, подчеркивая их единство. Освещение в клубе ритмично меняется от...
Все три персонажа одновременно подпрыгивают, выполняя сложный акробатический трюк в воздухе. Вокруг них взрываются пушки с конфетти, заполняя кадр блестящими частицами. Камера совершает быстрый облет по дуге, замедляясь в момент наивысшей точки прыжка. Эмоциональный пик подчеркивается резким...
Персонажи медленно идут к выходу, Банан поправляет куртку и смотрит в окно на просыпающийся город. Виноградинки устало, но счастливо переглядываются, идя рядом. Камера плавно поднимается к потолку, пока персонажи постепенно уменьшаются в кадре. Свет в клубе медленно гаснет, оставляя лишь слабые...
A very slow, dramatic zoom out from the close-up of Lenny's sad face to a wide shot of the entire basket, showing just how alone he is. The light on him extinguishes as the scene fades to black. On-screen dialogue (characters speak with lip-sync): Lenny (Lemon): "(Sighs heavily) Someday she'll...
A sharp, dramatic zoom-in on Lenny's face as he delivers the harsh line. The background blurs completely, focusing all attention on his emotional state. On-screen dialogue (characters speak with lip-sync): Lenny (Lemon): "He's just using your kindness! To him, you're just another shiny star in...
Crea una richiesta
I controlli vengono generati dallo schema del modello. Il codice e il prezzo si aggiornano mentre li modifichi.
/run/bytedance/seedance-2.0/us/reference-to-video?wait=20
preventivo → 5,571 $
# 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/bytedance/seedance-2.0/us/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.0/us/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.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",
}
# 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/us/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/us/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
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Informazioni su Seedance 2.0 US Reference to Video
Crea un video da un prompt testuale guidato da media di riferimento: fino a 9 immagini in `image_urls`, 3 clip in `video_urls` e 3 file audio in `audio_urls`. Fai riferimento a questi elementi nel prompt come @Image1, @Video1, @Audio1 e così via. L'output dura da 4 a 15 secondi o è automatico, in 480p, 720p, 1080p o 4k, con rapporti d'aspetto da 9:16 a 21:9. L'audio sincronizzato viene generato per impostazione predefinita.
Parametri
Invia il nome canonico oppure il nome nativo, non entrambi. Nomi canonici
promptobbligatorio
image_urlsfacoltativo
images
video_urlsfacoltativo
videos
audio_urlsfacoltativo
audios
resolutionfacoltativo
durationfacoltativo
aspect_ratiofacoltativo
generate_audiofacoltativo
bitrate_modefacoltativo
codecfacoltativo
end_user_idfacoltativo
I parametri file accettano un URL pubblico https://, un URI data: fino a 10 MB oppure il file_url di un caricamento. File
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bytedance/seedance-2.0/us/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": 5571,
"usd": "5.571",
"charged": 5571,
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Campi dell'output
- video
- object {url, content_type, file_name, file_size}File video prodotto dalla generazione.
- seed
- integerValore seed applicato durante la generazione.
Altre varianti di Seedance 2.0 US
Altri modelli: Da riferimento a video
Per gli agenti AI: questa pagina in Markdown è disponibile all'indirizzo https://doitong.com/it/developers/models/bytedance/seedance-2.0/us/reference-to-video.md. Tutti i modelli e le guide: https://doitong.com/developers/llms.txt