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Seedance 2.0 Text to Video

Integrar

ID dal model 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"

Questa dumonda: $0,705 705 credits API · ≈ ₽75,66 Lantschar sin questa pagina

Obtegna ina clav API
ByteDance Text a video Audio nativOutput 4K4–15 sfin a 4k #multi-shot

Il model da video principal da ByteDance per scenas multi-shot cun tun sincronisà, da 480p fin 4K.

Exempels

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: true$0,705 · 705 credits API

Prompt da @RizwanAly07 sin X

Construir ina dumonda

Ils controls vegnan generads dal schema dal model. Il code e ​​il pretsch s'actualiseschan durant che ti als midas.

•obligatori

Prompt da text che dirigia la generaziun dal video.

duration 5 s

Selecziun da la lunghezza dal video: `auto` surdat la tscherna al model cun agid dal prompt, entant che ina durada explicita sto esser da 4 fin 15 secundas.

resolution

Resoluziun output: 480p prioritisescha la sveltezza, 720p porscha in equiliber, 1080p dat auta qualitad e 4k la qualitad la pli auta.

aspect_ratio

Quotiant d'aspect da l'output: 16:9 dat format panoramic, 9:16 format vertical, 1:1 format quadrat e 21:9 format cinematic ultralarg. Tscherna `auto` per laschar il model tscherner il quotiant.

Avanzà bitrate_mode · codec
bitrate_mode standard standard

Tscherna il bitrate da la codificaziun output: 'standard' mantegna il standard, entant che 'high' dumonda al model da meglierar la qualitad da codificaziun a cust d'ina datoteca pli gronda.

codec standard auto

Selecziun dal codec video: `auto` lascha il cumportament dal codec standard invarià, `H264` tscherna H.264 e `H265` tscherna H.265.

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

Executar questa dumonda

Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API

Fatg sin Doitong

Ovras publicas fatgas cun Seedance 2.0 da la communitad Doitong. Reutilisescha in prompt cun in clic.

Ovras publicas mussadas: 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...

Davart Seedance 2.0 Text to Video

Seedance 2.0 scriva entiras pitschnas scenas d'in prompt: pliras taglias, characters consistents, dialog e effects da tun generads ensemen cun la maletg. Tscherna 4 fin 15 secundas u lascha tscherner la lunghezza, in dals set formats d'aspect, e 480p, 720p, 1080p u 4K. Output H.264 u H.265.

Parameters

NumTip StandardPermess Descripziun
promptobligatori
Tipstring
Prompt da text che dirigia la generaziun dal video.
resolutionopziunal
Tipenum
Standard720p
480p720p1080p4k
Resoluziun output: 480p prioritisescha la sveltezza, 720p porscha in equiliber, 1080p dat auta qualitad e 4k la qualitad la pli auta.
durationopziunal
Tipenum
Standardauto
auto456789101112131415
Selecziun da la lunghezza dal video: `auto` surdat la tscherna al model cun agid dal prompt, entant che ina durada explicita sto esser da 4 fin 15 secundas.
aspect_ratioopziunal
Tipenum
Standardauto
auto21:916:94:31:13:49:16
Quotiant d'aspect da l'output: 16:9 dat format panoramic, 9:16 format vertical, 1:1 format quadrat e 21:9 format cinematic ultralarg. Tscherna `auto` per laschar il model tscherner il quotiant.
generate_audioopziunal
Tipboolean
Standardtrue
Activa quai per accumpagnar il video cun audio sincronisà. L'audio generà cuntegna discurrer adattà als moviments dals lefs, atmosfera ambientala ed effects da tun.
bitrate_modeopziunal
Tipenum
Standardstandard
standardhigh
Tscherna il bitrate da la codificaziun output: 'standard' mantegna il standard, entant che 'high' dumonda al model da meglierar la qualitad da codificaziun a cust d'ina datoteca pli gronda.
codecopziunal
Tipenum
Standardauto
autoH264H265
Selecziun dal codec video: `auto` lascha il cumportament dal codec standard invarià, `H264` tscherna H.264 e `H265` tscherna H.265.
obligatori

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"
  }
}
Tias datotecas, tia decisiunMintga outputs[].url è ina copia en nossa memorisaziun: conservada per adina (pajà per GB-mes) u 7 dis gratuitamain, tenor la configuraziun dal conto u ?storage=.
La medema structura per mintga modeltype, url, content_type, width, height e duration, tant per maletgs sco per video e audio. output è l'object da resultat dal model sez.
Champs da l'output
video
object {url, content_type, file_name, file_size}Datoteca video producida da la generaziun.
seed
integerValur da seed applitgada durant la generaziun.

Dapli models: Text a video

Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/bytedance/seedance-2.0/text-to-video.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt