Seedance V1 Pro generates coherent multi-shot text-to-video at 720p with smooth, stable motion and precise prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.3per run·~33 / $10
A violinist on a concert stage, under a single spotlight, plays her instrument with passionate intensity. Her eyes are closed in concentration. The camera focuses on her hands moving skillfully over the strings, then cuts to a close-up of her emotional expression. Dramatic lighting, intense emotion, cinematic.
A man running across a dystopian city rooftop, low-angle shots, drones flying overhead, wind blowing, cinematic tension rising
In a desolate desert wasteland, a lone survivor, carrying a massive backpack and leading his mechanical dog, struggles to walk. In the distance are the tilted, sand-eroded remnants of skyscrapers. The camera starts from the survivor's back and slowly pulls up, revealing the vast and desolate apocalyptic scene, emphasizing the themes of solitude and survival.
In a cozy mini kitchen, a cute little bear chef made of felt, wearing a tall chef's hat, is stirring a pot of steaming soup with a small wooden spoon. Behind it, a small shelf is filled with mini bottles and jars. Fixed camera position, close-up shot, showcasing a warm, healing, and childlike cooking scene.
A fantasy knight standing on a cliff at sunset, cape fluttering, camera zooms out to reveal vast mountain range, slow motion, golden hour lighting
In a neon-blinking, perpetually drizzling futuristic city alley, a delivery man in a reflective jacket zips past on a hover motorcycle. Pedestrians and robots on the side of the road are in a hurry. The camera follows with a dynamic low-angle shot, capturing the light trails from the motorcycle's taillights and the splashes of water, creating a strong sense of speed and futurism.
A sorcerer unleashing lightning into the sky, storm clouds swirl, cinematic lighting flashes, camera flies around the scene, slow motion impact
Close-up of a beautiful anime girl with sparkling violet eyes and flowing blonde hair, wearing a sailor school uniform with a red ribbon, gentle blush, soft lighting, classic 90s shoujo anime style, high detail, expressive eyes, delicate line art
Pixel art samurai walking in rain, limited color palette, retro game vibe, side-scroll perspective
An Olympic swimmer in a racing lane, poised on the starting block. At the sound of the starting pistol, she dives powerfully into the clear blue water. The camera follows her underwater in a smooth tracking shot, capturing the strength and grace of her strokes. Underwater slow motion, professional sports photography, intense focus.
At night, a young artist in a hoodie uses a spray can to create a vibrant mural on a brick wall. The paint particles hang in the air under the light of a streetlamp. The camera circles around her, capturing the quick, confident strokes and the emerging artwork. Urban, energetic, time-lapse effect on the painting's creation.
A lone knight rides across a glass desert where the sand reflects the stars above. Each hoofbeat sends light rippling beneath the surface. [Wide tracking shot] captures the surreal symmetry of sky and ground.
A young woman walking slowly in a sunlit urban street, natural movement, flowing hair, subtle wind effect, realistic skin texture, casual modern outfit with soft folds, cinematic lighting with warm tones, shallow depth of field, photorealistic style, medium close-up, natural facial expressions, smooth transitions between frames, dynamic background blur, high detail animation
Whimsical felt kitchen, a raccoon chef cooking breakfast; fast stop-motion camera moves across pots and pans, then zooms out to reveal a cozy morning routine.
Anime-style high-speed car race, glowing wheels and drifting smoke; cockpit view switches to outside tracking, slow-motion shots of hairpin turns, and cheering crowds in the distance.
Classical Renaissance-style ballroom, dancers spinning under a chandelier; sweeping camera crane shots, detailed close-ups of fabric and eyes, and a bird’s-eye rotation of the floor.
A traditional Chinese tea ceremony, elegant woman in hanfu pouring tea; close-ups of steam rising, hands preparing utensils, and a wide shot of the quiet courtyard.
Cyberpunk motorcycle chase through a neon-drenched city at night; drone-style camera follows overhead, flips to first-person view, and cuts to a side-glide tracking the speed.
Clay animation boxing match, two clay figures in a ring; shaky handheld shots from the side, slow-motion impact frames, and a crowd-view reaction in stop motion.
Seedance V1 Pro Text-to-Video 720p is premium text-to-video generation model that creates cinematic-quality videos from text descriptions. Generate stunning 720p HD videos with smooth motion, flexible aspect ratios, and durations up to 12 seconds.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video you want to generate. |
| aspect_ratio | No | Output aspect ratio: 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 (default: 16:9). |
| duration | No | Video length: 2–12 seconds (default: 5). |
| camera_fixed | No | Fix camera position for stable shots. |
| seed | No | Set for reproducibility; -1 for random. |
| Duration | Price |
|---|---|
| 5 seconds | $0.30 |
| 10 seconds | $0.60 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-t2v-720p with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Seedance v1 Pro T2v 720p below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-t2v-720p" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"camera_fixed": false,
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("bytedance/seedance-v1-pro-t2v-720p", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"camera_fixed": false,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bytedance/seedance-v1-pro-t2v-720p",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"camera_fixed": false,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputSeedance v1 Pro T2v 720p is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance V1 Pro generates coherent multi-shot text-to-video at 720p with smooth, stable motion and precise prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-v1-pro-t2v-720p.
Seedance v1 Pro T2v 720p starts at $0.30 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `duration`, `seed`, `camera_fixed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-v1-pro-t2v-720p.
Average end-to-end generation time on WaveSpeedAI is around 88 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.