Seedance 2.5 US Reference to Video
Intégrer
bytedance/seedance-2.5/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-2.5/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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.5/us/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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-2.5/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/fr/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-2.5/us/reference-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Appelez le modèle Seedance 2.5 US Reference to Video (bytedance/seedance-2.5/us/reference-to-video) via la Doitong API. Documentation pour les agents : https://doitong.com/fr/developers/models/bytedance/seedance-2.5/us/reference-to-video.md
POST https://api.doitong.ru/v1/run/bytedance/seedance-2.5/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"
}
Si le statut de la réponse est "queued" ou "running", interrogez GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 jusqu’à ce qu’il soit "succeeded" ; les fichiers se trouvent dans outputs[].url. POST https://api.doitong.ru/v1/quote/bytedance/seedance-2.5/us/reference-to-video avec le même corps renvoie le prix exact avant l’exécution.
Jusqu’à 6,944 $ par exécution facturation selon l’utilisation réelle, le reste est remboursé L’exécuter sur cette page
Votre nouvelle clé API. Elle n’est affichée que maintenant et figure déjà dans le code et dans le champ de clé API ci-dessous. Gardez-la secrète : ne l’intégrez jamais dans du code exécuté dans un navigateur.
Créé sur Doitong
Créations publiques réalisées avec Seedance 2.5 US par la communauté Doitong. Réutilisez un prompt en un clic.
Vidéo
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...
Vidéo
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...
Vidéo
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...
Vidéo
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...
Vidéo
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...
Vidéo
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,...
Vidéo
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...
Vidéo
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...
Vidéo
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:...
Vidéo
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...
Créer une requête
Les contrôles sont générés à partir du schéma du modèle. Le code et le prix se mettent à jour lorsque vous les modifiez.
/run/bytedance/seedance-2.5/us/reference-to-video?wait=20
devis → 6,944 $
# 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-2.5/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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bytedance/seedance-2.5/us/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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-2.5/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-2.5/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
}
}
}
Exécuter cette requête
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À propos de Seedance 2.5 US Reference to Video
Le paramètre `task` permet de choisir entre la génération guidée par des références, l’édition d’une vidéo de référence et son extension. Accepte jusqu’à 30 images, 10 vidéos et 10 fichiers audio comme références, cités sous la forme @Image1, etc. Produit du 480p, 720p ou 1080p, avec une durée automatique ou de 4 à 30 secondes et des formats d’image de 21:9 à 9:16. Prend en charge `seed` et `bitrate_mode`.
Paramètres
Envoyez soit le nom canonique, soit le nom natif, mais pas les deux. Noms canoniques
promptfacultatif
taskfacultatif
image_urlsfacultatif
images
video_urlsfacultatif
videos
audio_urlsfacultatif
audios
resolutionfacultatif
durationfacultatif
+12 de plus
192021222324252627282930aspect_ratiofacultatif
generate_audiofacultatif
bitrate_modefacultatif
codecfacultatif
seedfacultatif
end_user_idfacultatif
Les paramètres de fichier acceptent une URL publique https://, un URI data: jusqu’à 10 MB ou le file_url d’un téléversement. Fichiers
Sortie
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bytedance/seedance-2.5/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": 6944,
"usd": "6.944",
"charged": 6944,
"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,
"draft_id": "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"
}
}
Champs de sortie
- video
- object {url, content_type, file_name, file_size}Fichier vidéo produit par la génération.
- seed
- integerValeur du seed appliquée pendant la génération.
- draft_id
- string | nullIdentifiant du brouillon à terminer avec le même compte dans les sept jours ; la réponse contient null si le mode brouillon est désactivé.
Autres variantes Seedance 2.5 US
Plus de modèles : Référence vers vidéo
Pour les agents IA : cette page au format Markdown est disponible à https://doitong.com/fr/developers/models/bytedance/seedance-2.5/us/reference-to-video.md. Tous les modèles et guides : https://doitong.com/developers/llms.txt