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Seedance 2.0 Text to Video

Intégrer

Identifiant du modèle bytedance/seedance-2.0/text-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/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Create an ultra-realistic cinematic video of a beautiful black-and-white Siberian Husky with striking blue eyes exploring a snowy mountain landscape at sunset. The environment features pristine white snow, snow-covered pine trees, enormous snow-covered rocks, distant blue mountains, and warm golden sunlight illuminating the snow. Every animal must look completely realistic, with detailed fur, natural movements, and believable interactions.\n\nSCENE 1 — THE HUSKY APPROACHES \nA beautiful black-and-white Siberian Husky walks slowly through deep, powdery snow. Its paws sink naturally into the snow, sending tiny snow particles into the air. The camera follows the dog from a low angle as it lowers its head and sniffs the ground curiously. Warm sunset light illuminates its fur.\n\nSCENE 2 — SOMETHING MOVES \nThe Husky suddenly notices movement near a large snow-covered rock. It stops, raises its head, and turns its blue eyes toward the rock. Its ears stand upright, and its nose twitches as it investigates. The camera smoothly moves closer to capture its curious expression.\n\nSCENE 3 — THE SURPRISE \nA tiny, fluffy brown bunny cautiously peeks out from behind the rock. A second, smaller white bunny appears just behind it. Both rabbits have realistic fur, twitching noses, upright ears, and tiny paws. The Husky watches them with curiosity while maintaining a natural, relaxed posture.\n\nSCENE 4 — THE ADORABLE MOMENT \nThe brown bunny hops forward through the fresh snow, followed by the tiny white bunny. The Husky gently lowers its head toward them, sniffing the snow nearby. The rabbits pause and look toward the dog. Their contrasting sizes create a beautiful cinematic composition.\n\nSCENE 5 — THE HEARTWARMING ENDING \nBoth bunnies hop closer to the Husky. The dog remains calm and gently tilts its head, watching their movements with curious blue eyes. The camera slowly pulls back to reveal the three animals together in the glowing snowy landscape, surrounded by majestic mountains and warm sunset light.\n\n🎥 Camera & Quality Instructions\n\nPhotorealistic animal fur, eyes, whiskers, paws, and facial expressions.\n\nNatural animal anatomy and believable movement.\n\nSmooth cinematic tracking shots with realistic depth of field.\n\nGolden-hour lighting with cool blue shadows across the snow.\n\nRealistic snow particles, pawprints, and subtle wind.\n\nNatural ambient audio: soft winter wind, paws crunching in snow, and gentle rabbit movements.\n\nNo dialogue, text, subtitles, logos, or watermarks.\n\nNo cartoon appearance, artificial CGI look, distorted anatomy, duplicated animals, or sudden scene transitions.\n\nMaintain consistent animal appearances throughout the entire video.",
    "resolution": "480p",
    "duration": "5",
    "aspect_ratio": "16:9",
    "generate_audio": true
  }'

# 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"

Cette requête: 0,705 $ 705 crédits API · ≈ 75,13 ₽ L'exécuter sur cette page

Obtenir une clé API
ByteDance Texte vers vidéo Audio natifSortie 4K4–15 sjusqu'à 4k #multi-shot

Modèle vidéo phare de ByteDance pour les scènes multi-plans avec son synchronisé, de 480p à 4K.

Exemples

Sortie · ~253 s

InviteCreate an ultra-realistic cinematic video of a beautiful black-and-white Siberian Husky with striking blue eyes exploring a snowy mountain landscape at sunset. The environment features pristine white snow, snow-covered pine trees, enormous snow-covered rocks, distant blue mountains, and warm golden sunlight illuminating the snow. Every animal must look completely realistic, with detailed fur, natural movements, and believable interactions. SCENE 1 — THE HUSKY APPROACHES A beautiful black-and-white Siberian Husky walks slowly through deep, powdery snow. Its paws sink naturally into the snow, sending tiny snow particles into the air. The camera follows the dog from a low angle as it lowers its head and sniffs the ground curiously. Warm sunset light illuminates its fur. SCENE 2 — SOMETHING MOVES The Husky suddenly notices movement near a large snow-covered rock. It stops, raises its head, and turns its blue eyes toward the rock. Its ears stand upright, and its nose twitches as it investigates. The camera smoothly moves closer to capture its curious expression. SCENE 3 — THE SURPRISE A tiny, fluffy brown bunny cautiously peeks out from behind the rock. A second, smaller white bunny appears just behind it. Both rabbits have realistic fur, twitching noses, upright ears, and tiny paws. The Husky watches them with curiosity while maintaining a natural, relaxed posture. SCENE 4 — THE ADORABLE MOMENT The brown bunny hops forward through the fresh snow, followed by the tiny white bunny. The Husky gently lowers its head toward them, sniffing the snow nearby. The rabbits pause and look toward the dog. Their contrasting sizes create a beautiful cinematic composition. SCENE 5 — THE HEARTWARMING ENDING Both bunnies hop closer to the Husky. The dog remains calm and gently tilts its head, watching their movements with curious blue eyes. The camera slowly pulls back to reveal the three animals together in the glowing snowy landscape, surrounded by majestic mountains and warm sunset light. 🎥 Camera & Quality Instructions Photorealistic animal fur, eyes, whiskers, paws, and facial expressions. Natural animal anatomy and believable movement. Smooth cinematic tracking shots with realistic depth of field. Golden-hour lighting with cool blue shadows across the snow. Realistic snow particles, pawprints, and subtle wind. Natural ambient audio: soft winter wind, paws crunching in snow, and gentle rabbit movements. No dialogue, text, subtitles, logos, or watermarks. No cartoon appearance, artificial CGI look, distorted anatomy, duplicated animals, or sudden scene transitions. Maintain consistent animal appearances throughout the entire video.

5 s480p16:9generate_audio: true0,705 $ · 705 crédits API

Invite de @RizwanAly07 sur X

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.

•obligatoire

Invite textuelle qui guide la génération vidéo.

duration 5 s

Sélection de la durée de la vidéo : `auto` délègue le choix au modèle à partir de l’invite, tandis qu’une durée explicite doit être comprise entre 4 et 15 secondes.

resolution

Résolution de sortie : 480p privilégie la vitesse, 720p offre un équilibre, 1080p fournit une qualité élevée et 4k la qualité maximale.

aspect_ratio

Rapport hauteur/largeur de sortie : 16:9 produit un format paysage, 9:16 un format portrait/vertical, 1:1 un format carré et 21:9 un format cinémascope ultralarge. Sélectionnez `auto` pour laisser le modèle choisir le rapport.

Avancé bitrate_mode · codec
bitrate_mode par défaut standard

Choisissez le débit binaire d’encodage de sortie : 'standard' conserve la valeur par défaut, tandis que 'high' demande au modèle d’améliorer la qualité d’encodage au prix d’un fichier plus volumineux.

codec par défaut auto

Sélection du codec vidéo : `auto` laisse le comportement du codec par défaut inchangé, `H264` sélectionne H.264 et `H265` sélectionne H.265.

POST /run/bytedance/seedance-2.0/text-to-video?wait=20 devis → 0,705 $
# 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/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Create an ultra-realistic cinematic video of a beautiful black-and-white Siberian Husky with striking blue eyes exploring a snowy mountain landscape at sunset. The environment features pristine white snow, snow-covered pine trees, enormous snow-covered rocks, distant blue mountains, and warm golden sunlight illuminating the snow. Every animal must look completely realistic, with detailed fur, natural movements, and believable interactions.\n\nSCENE 1 — THE HUSKY APPROACHES \nA beautiful black-and-white Siberian Husky walks slowly through deep, powdery snow. Its paws sink naturally into the snow, sending tiny snow particles into the air. The camera follows the dog from a low angle as it lowers its head and sniffs the ground curiously. Warm sunset light illuminates its fur.\n\nSCENE 2 — SOMETHING MOVES \nThe Husky suddenly notices movement near a large snow-covered rock. It stops, raises its head, and turns its blue eyes toward the rock. Its ears stand upright, and its nose twitches as it investigates. The camera smoothly moves closer to capture its curious expression.\n\nSCENE 3 — THE SURPRISE \nA tiny, fluffy brown bunny cautiously peeks out from behind the rock. A second, smaller white bunny appears just behind it. Both rabbits have realistic fur, twitching noses, upright ears, and tiny paws. The Husky watches them with curiosity while maintaining a natural, relaxed posture.\n\nSCENE 4 — THE ADORABLE MOMENT \nThe brown bunny hops forward through the fresh snow, followed by the tiny white bunny. The Husky gently lowers its head toward them, sniffing the snow nearby. The rabbits pause and look toward the dog. Their contrasting sizes create a beautiful cinematic composition.\n\nSCENE 5 — THE HEARTWARMING ENDING \nBoth bunnies hop closer to the Husky. The dog remains calm and gently tilts its head, watching their movements with curious blue eyes. The camera slowly pulls back to reveal the three animals together in the glowing snowy landscape, surrounded by majestic mountains and warm sunset light.\n\n🎥 Camera & Quality Instructions\n\nPhotorealistic animal fur, eyes, whiskers, paws, and facial expressions.\n\nNatural animal anatomy and believable movement.\n\nSmooth cinematic tracking shots with realistic depth of field.\n\nGolden-hour lighting with cool blue shadows across the snow.\n\nRealistic snow particles, pawprints, and subtle wind.\n\nNatural ambient audio: soft winter wind, paws crunching in snow, and gentle rabbit movements.\n\nNo dialogue, text, subtitles, logos, or watermarks.\n\nNo cartoon appearance, artificial CGI look, distorted anatomy, duplicated animals, or sudden scene transitions.\n\nMaintain consistent animal appearances throughout the entire video.",
    "resolution": "480p",
    "duration": "5",
    "aspect_ratio": "16:9",
    "generate_audio": true
  }'

# 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"

Exécuter cette requête

Votre clé reste dans ce navigateur : elle est envoyée uniquement à la Doitong API et enregistrée dans localStorage uniquement si vous cochez Mémoriser. Obtenir une clé API

Créé sur Doitong

Créations publiques réalisées avec Seedance 2.0 par la communauté Doitong. Réutilisez une invite en un clic.

Créations publiques affichées : 16
A close-up portrait of a striking cyberpunk woman with sleek dark hair partially wet and falling ... 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...

Ultra-realistic scene featuring miniature construction workers in orange vests and hard hats, act... 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...

Two sandboarders racing down massive golden sand dunes, carving aggressively in wide S-curves, he... 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...

A high-fashion cinematic video scene in slow motion, set on a wide white desert with fine rippled... 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...

A fashionable young woman with black hair, walking confidently down a modern city street. She is ... 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...

Scene: On a large metal grill surface, miniature construction workers in orange safety vests and ... 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,...

Subject: Young woman with closed eyes Context: Surrounded by goldfish swimming in the air Action:... 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...

photorealistic, live-action film, real actress, ARRI Alexa look, desaturated cold tones, soft nat... 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...

À propos de Seedance 2.0 Text to Video

Seedance 2.0 écrit de petites scènes complètes à partir d'une invite : plusieurs plans, des personnages cohérents, des dialogues et des effets sonores générés avec l'image. Choisissez une durée de 4 à 15 secondes ou laissez le modèle la définir, l'un des sept formats d'image, ainsi que 480p, 720p, 1080p ou 4K. Sortie H.264 ou H.265.

Paramètres

NomType Par défautAutorisé Description
promptobligatoire
Typestring
Invite textuelle qui guide la génération vidéo.
resolutionfacultatif
Typeenum
Par défaut720p
480p720p1080p4k
Résolution de sortie : 480p privilégie la vitesse, 720p offre un équilibre, 1080p fournit une qualité élevée et 4k la qualité maximale.
durationfacultatif
Typeenum
Par défautauto
auto456789101112131415
Sélection de la durée de la vidéo : `auto` délègue le choix au modèle à partir de l’invite, tandis qu’une durée explicite doit être comprise entre 4 et 15 secondes.
aspect_ratiofacultatif
Typeenum
Par défautauto
auto21:916:94:31:13:49:16
Rapport hauteur/largeur de sortie : 16:9 produit un format paysage, 9:16 un format portrait/vertical, 1:1 un format carré et 21:9 un format cinémascope ultralarge. Sélectionnez `auto` pour laisser le modèle choisir le rapport.
generate_audiofacultatif
Typeboolean
Par défauttrue
Activez cette option pour accompagner la vidéo d’un audio synchronisé. L’audio généré inclut une parole synchronisée avec les mouvements des lèvres, une ambiance et des effets sonores.
bitrate_modefacultatif
Typeenum
Par défautstandard
standardhigh
Choisissez le débit binaire d’encodage de sortie : 'standard' conserve la valeur par défaut, tandis que 'high' demande au modèle d’améliorer la qualité d’encodage au prix d’un fichier plus volumineux.
codecfacultatif
Typeenum
Par défautauto
autoH264H265
Sélection du codec vidéo : `auto` laisse le comportement du codec par défaut inchangé, `H264` sélectionne H.264 et `H265` sélectionne H.265.
obligatoire

Sortie

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "bytedance/seedance-2.0/text-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": 705,
    "usd": "0.705",
    "charged": 705,
    "refunded": 0
  },
  "input": {
    "prompt": "An octopus finds a football on the sea floor and calls its friends to play, cut to a lively underwater match",
    "duration": 5,
    "resolution": "720p",
    "aspect_ratio": "16:9"
  },
  "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"
  }
}
Vos fichiers, votre choixChaque outputs[].url est une copie sur notre stockage : conservée indéfiniment (facturation par Go-mois) ou 7 jours gratuitement, selon le réglage de votre compte ou ?storage=.
Une structure identique pour chaque modèletype, url, content_type, width, height et duration, pour les images, les vidéos et l'audio. output est l'objet de résultat propre au modèle.
Champs de sortie
video
object {url, content_type, file_name, file_size}Fichier vidéo produit par la génération.
seed
integerValeur de graine appliquée pendant la génération.

Plus de modèles : Texte vers vidéo

Pour les agents IA : cette page au format Markdown est disponible à l'adresse https://doitong.com/fr-FR/developers/models/bytedance/seedance-2.0/text-to-video.md. Tous les modèles et guides : https://doitong.com/developers/llms.txt