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.
待機中
$0.151回あたり·~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 | $0.60 |
Write prompts like a director’s beat sheet:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance v1 Pro I2v 480p below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": False,
"seed": -1
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-480p", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Seedance 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. 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.
Median end-to-end generation time on WaveSpeedAI is around 68 seconds per request, based on recent successful runs. Queue time varies 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.