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Seedance 2.0 Text to Video

Integrieren

Modell-ID 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"

Diese Anfrage: 0,705 $ 705 API-Credits · ≈ 75,66 ₽ Auf dieser Seite ausführen

API-Schlüssel abrufen
ByteDance Text zu Video Natives Audio4K-Ausgabe4–15 sbis zu 4k #multi-shot

ByteDances leistungsstärkstes Videomodell für Szenen mit mehreren Aufnahmen und synchronisiertem Ton, von 480p bis 4K.

Beispiele

Ausgabe · ~253 s

PromptCreate 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 API-Credits

Prompt von @RizwanAly07 auf X

Anfrage erstellen

Die Steuerelemente werden aus dem Modellschema generiert. Code und Preis werden aktualisiert, während du sie änderst.

•erforderlich

Text-Prompt zur Steuerung der Videogenerierung.

duration 5 s

Auswahl der Videolänge: `auto` überlässt die Wahl dem Modell anhand des Prompts, während eine explizite Dauer zwischen 4 und 15 Sekunden liegen muss.

resolution

Ausgabeauflösung: 480p priorisiert Geschwindigkeit, 720p bietet Ausgewogenheit, 1080p liefert hohe Qualität und 4k die höchste Qualität.

aspect_ratio

Seitenverhältnis der Ausgabe: 16:9 ergibt Querformat, 9:16 Hoch-/Vertikalformat, 1:1 Quadrat und 21:9 ein kinematografisches Ultrawide-Format. `auto` lässt das Modell das Verhältnis wählen.

Erweitert bitrate_mode · codec
bitrate_mode Standard standard

Bitrate der Ausgabekodierung auswählen: 'standard' behält den Standard bei, während 'high' das Modell auffordert, die Kodierungsqualität auf Kosten einer größeren Datei zu verbessern.

codec Standard auto

Auswahl des Video-Codecs: `auto` lässt das Standardverhalten unverändert, `H264` wählt H.264 und `H265` wählt H.265.

POST /run/bytedance/seedance-2.0/text-to-video?wait=20 Preis → 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"

Diese Anfrage ausführen

Dein Schlüssel bleibt in diesem Browser: Er wird nur an die Doitong API gesendet und nur gespeichert (localStorage), wenn du „Merken“ aktivierst. API-Schlüssel abrufen

Auf Doitong erstellt

Öffentliche Werke der Doitong-Community mit Seedance 2.0. Verwende einen Prompt mit einem Klick erneut.

Angezeigte öffentliche Werke: 16
A close-up portrait of a striking cyberpunk woman with sleek dark hair partially wet and falling ... 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...

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

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

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

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

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

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

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

Über Seedance 2.0 Text to Video

Seedance 2.0 erstellt aus einem Prompt ganze kleine Szenen: mehrere Schnitte, konsistente Figuren, Dialoge und Soundeffekte werden gemeinsam mit dem Bild erzeugt. Wähle 4 bis 15 Sekunden oder lasse die Länge automatisch bestimmen, eines von sieben Seitenverhältnissen sowie 480p, 720p, 1080p oder 4K. Ausgabe in H.264 oder H.265.

Parameter

NameTyp StandardZulässig Beschreibung
prompterforderlich
Typstring
Text-Prompt zur Steuerung der Videogenerierung.
resolutionoptional
Typenum
Standard720p
480p720p1080p4k
Ausgabeauflösung: 480p priorisiert Geschwindigkeit, 720p bietet Ausgewogenheit, 1080p liefert hohe Qualität und 4k die höchste Qualität.
durationoptional
Typenum
Standardauto
auto456789101112131415
Auswahl der Videolänge: `auto` überlässt die Wahl dem Modell anhand des Prompts, während eine explizite Dauer zwischen 4 und 15 Sekunden liegen muss.
aspect_ratiooptional
Typenum
Standardauto
auto21:916:94:31:13:49:16
Seitenverhältnis der Ausgabe: 16:9 ergibt Querformat, 9:16 Hoch-/Vertikalformat, 1:1 Quadrat und 21:9 ein kinematografisches Ultrawide-Format. `auto` lässt das Modell das Verhältnis wählen.
generate_audiooptional
Typboolean
Standardtrue
Aktivieren, um das Video mit synchronisiertem Audio zu versehen. Das generierte Audio enthält an Lippenbewegungen angepasstes Sprechen, Umgebungsatmosphäre und Soundeffekte.
bitrate_modeoptional
Typenum
Standardstandard
standardhigh
Bitrate der Ausgabekodierung auswählen: 'standard' behält den Standard bei, während 'high' das Modell auffordert, die Kodierungsqualität auf Kosten einer größeren Datei zu verbessern.
codecoptional
Typenum
Standardauto
autoH264H265
Auswahl des Video-Codecs: `auto` lässt das Standardverhalten unverändert, `H264` wählt H.264 und `H265` wählt H.265.
erforderlich

Ausgabe

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"
  }
}
Deine Dateien, deine EntscheidungJede outputs[].url ist eine Kopie in unserem Speicher: dauerhaft aufbewahrt (Abrechnung pro GB-Monat) oder 7 Tage kostenlos – je nach Kontoeinstellung oder ?storage=.
Gleiche Struktur bei jedem Modelltype, url, content_type, width, height und duration – für Bilder, Video und Audio gleichermaßen. output ist das Ergebnisobjekt des Modells.
Ausgabefelder
video
object {url, content_type, file_name, file_size}Durch die Generierung erzeugte Videodatei.
seed
integerWährend der Generierung angewendeter Seed-Wert.

Weitere Modelle: Text zu Video

Für KI-Agenten: Diese Seite ist als Markdown verfügbar unter https://doitong.com/de/developers/models/bytedance/seedance-2.0/text-to-video.md. Alle Modelle und Anleitungen: https://doitong.com/developers/llms.txt