Op den Inhalt sprangen

Seedance 2.0 Text to Video

Integréieren

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"

Dës Ufro: 0,705 $ 705 API-Kreditter · ≈ 75,66 ₽ Op dëser Säit ausféieren

API-Schlëssel kréien
ByteDance Text zu Video Native Audio4K-Output4–15 sbis zu 4k #multi-shot

ByteDance säi beschte Videomodell fir Multi-Shot-Szene mat synchroniséiertem Toun, vun 480p bis 4K.

Beispiller

Output · ~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-Kreditter

Prompt vun @RizwanAly07 op X

Eng Ufro erstellen

D'Kontrolle ginn aus dem Modellschema generéiert. De Code an de Präis aktualiséiere sech, wann s du se ännerst.

•obligatoresch

Text-Prompt, deen d'Videogeneratioun leet.

duration 5 s

Auswiel vun der Videolängt: `auto` iwwerdréit d'Auswiel un de Modell op Basis vum Prompt, wärend eng explizit Dauer tëscht 4 an 15 Sekonne leie muss.

resolution

Output-Opléisung: 480p prioritär d'Geschwindegkeet, 720p bitt en Equiliber, 1080p liwwert héich Qualitéit an 4k déi héchst Qualitéit.

aspect_ratio

Output-Bildformat: 16:9 ass Querformat, 9:16 Portrait/Vertikalformat, 1:1 Quadrat an 21:9 kinematescht Ultrawide. Wielt `auto`, fir de Modell d'Verhältnis auswielen ze loossen.

Erweidert bitrate_mode · codec
bitrate_mode Standard standard

Wielt d'Bitrate vun der Output-Kodéierung: 'standard' behält de Standard, wärend 'high' de Modell freet, d'Kodéierungsqualitéit op Käschte vun enger méi grousser Datei ze verbesseren.

codec Standard auto

Auswiel vum Video-Codec: `auto` léisst de Standardverhale vum Codec onverännert, `H264` wielt H.264 an `H265` wielt H.265.

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

Dës Ufro ausféieren

Äre Schlëssel bleift an dësem Browser: e gëtt nëmmen un d'Doitong API geschéckt an nëmme gespäichert (localStorage), wann s du „Erënneren“ aktivéiers. En API-Schlëssel kréien

Op Doitong erstallt

Ëffentlech Wierker, déi d'Doitong-Communautéit mat Seedance 2.0 erstallt huet. Benotz e Prompt mat engem Klick nach eng Kéier.

Ëffentlech Wierker ugewisen: 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...

Iwwer Seedance 2.0 Text to Video

Seedance 2.0 schreift ganz kleng Szenen aus engem Prompt: verschidde Schnëtt, konsequent Figuren, Dialog a Soundeffekter ginn zesumme mam Bild generéiert. Wielt 4 bis 15 Sekonnen oder loosst d'Dauer automatesch bestëmmen, ee vu siwe Bildformater an 480p, 720p, 1080p oder 4K. H.264- oder H.265-Ausgab.

Parameteren

NummTyp StandardErlaabt Beschreiwung
promptobligatoresch
Typstring
Text-Prompt, deen d'Videogeneratioun leet.
resolutionoptional
Typenum
Standard720p
480p720p1080p4k
Output-Opléisung: 480p prioritär d'Geschwindegkeet, 720p bitt en Equiliber, 1080p liwwert héich Qualitéit an 4k déi héchst Qualitéit.
durationoptional
Typenum
Standardauto
auto456789101112131415
Auswiel vun der Videolängt: `auto` iwwerdréit d'Auswiel un de Modell op Basis vum Prompt, wärend eng explizit Dauer tëscht 4 an 15 Sekonne leie muss.
aspect_ratiooptional
Typenum
Standardauto
auto21:916:94:31:13:49:16
Output-Bildformat: 16:9 ass Querformat, 9:16 Portrait/Vertikalformat, 1:1 Quadrat an 21:9 kinematescht Ultrawide. Wielt `auto`, fir de Modell d'Verhältnis auswielen ze loossen.
generate_audiooptional
Typboolean
Standardtrue
Aktivéiert dëst, fir de Video mat synchroniséiertem Audio ze begleeden. De generéierten Audio enthält Ried, déi un d'Lëppebeweegunge ugepasst ass, Ëmweltgeräischer a Soundeffekter.
bitrate_modeoptional
Typenum
Standardstandard
standardhigh
Wielt d'Bitrate vun der Output-Kodéierung: 'standard' behält de Standard, wärend 'high' de Modell freet, d'Kodéierungsqualitéit op Käschte vun enger méi grousser Datei ze verbesseren.
codecoptional
Typenum
Standardauto
autoH264H265
Auswiel vum Video-Codec: `auto` léisst de Standardverhale vum Codec onverännert, `H264` wielt H.264 an `H265` wielt H.265.
obligatoresch

Output

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"
  }
}
Är Fichieren, Är WielAll outputs[].url ass eng Kopie an eiser Späicherung: fir ëmmer gespäichert (bezuelbar pro GB-Mount) oder 7 Deeg gratis, jee no Ärer Kontastellung oder ?storage=.
D'selwecht Struktur bei all Modelltype, url, content_type, width, height an duration, fir Biller, Video an Audio gläichermoossen. output ass dem Modell säin eegent Resultatobjet.
Output-Felder
video
object {url, content_type, file_name, file_size}Video-Datei, déi duerch d'Generatioun erstallt gouf.
seed
integerSeed-Wäert, deen während der Generatioun applizéiert gouf.

Méi Modeller: Text zu Video

Fir AI-Agenten: dës Säit als Markdown ass ënner https://doitong.com/lb/developers/models/bytedance/seedance-2.0/text-to-video.md. All Modeller a Guiden: https://doitong.com/developers/llms.txt