Seedance v1 Pro i2v (480p) creates coherent multi-shot image-to-video sequences with smooth, stable motion and strong adherence to detailed prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.15per run·~66 / $10
Slow zoom on twitching paws dreaming, cut to wide shot as owner gently places a chew toy beside it
A beautiful scene with smooth camera movement and natural motion
Close-up of wings unfolding into holographic feathers, transitioning to wide shot as it glides between skyscrapers with particle trail
Bear’s paw turning pages triggers glowing vines to engulf the scene in timelapse growth, ending with aerial mushroom canopy reveal
Slow-motion leap through floating books, transforming mid-air into clockwork smoke dissolving through stained glass
Tentacle dip creates black hole inkblot sucking books into fractal universe, dolly zoom out to reveal library is inside snow globe
Close-up of howl emitting visible sound rings that crystallize asteroids, jump cut to wolf teleporting through wormhole with gravitational lensing
Close-up of stirring spoon swirling cream, pull back to reveal hands kneading dough on floured surface
Paw tap causing ripples transitions to low-angle shot of fish darting, ending with cat’s whiskers twitching in close-up
A girl in a soft white dress stands beneath a cherry blossom tree at twilight, her eyes closed as petals drift gently around her. The sky glows with hues of lavender and gold, and a slow breeze moves her hair and dress like silk. Her hand reaches out to catch a falling petal, and the camera lingers on the motion. The atmosphere is delicate, dreamlike, and filled with quiet longing—like a memory suspended in golden light.
A barefoot woman walks along the shoreline as the sun dips into the ocean, waves caressing her feet in rhythmic pulses. She pauses to look back at the endless horizon, her silhouette haloed by the fading light. The wind lifts her flowing linen dress, and seabirds glide overhead. The scene is bathed in soft pastels, cinematic and tranquil—capturing the stillness between heartbeats.
The girl looks to the camera, her earrings swinging up gently as she turns, the camera spinning, the sun dreaming.
Seedance v1 Pro I2V 480p generates short videos from a single reference image plus a motion-focused prompt. Upload a starting image, describe the action and camera beats, and the model animates the scene while keeping the input image as the visual anchor. You can also provide an optional last_image to guide how the clip ends, and enable camera_fixed when you want motion without camera movement.
| Duration | Price per video |
|---|---|
| 5s | $0.15 |
| 10s | $0.30 |
| 15s | $0.45 |
| 20s | $0.60 |
Write prompts like a director’s beat sheet:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p 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 I2v 480p below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "21:9",
"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-i2v-480p", {
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "21:9",
"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-i2v-480p",
{
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputSeedance v1 Pro I2v 480p is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance v1 Pro i2v (480p) creates coherent multi-shot image-to-video sequences with smooth, stable motion and strong adherence to detailed prompts. 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-i2v-480p.
Seedance v1 Pro I2v 480p starts at $0.15 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`, `image`, `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-i2v-480p.
Average end-to-end generation time on WaveSpeedAI is around 37 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.