Seedance 2.5 (Image-to-Video Turbo) generates cinematic 720p/1080p videos from reference images —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability.
Idle
$1per run
A Hollywood blockbuster monster movie scene in a vast desert wasteland, ultra realistic IMAX cinematography, photorealistic VFX, realistic physics, cinematic destruction. 0-2 seconds: The camera starts extremely low above an abandoned desert highway, almost touching the asphalt. The camera rushes forward at extreme speed along the cracked road, like a high-speed FPV drone shot. Dust, sand particles and small rocks fly past the lens. Broken vehicles and damaged road signs blur on both sides. The camera never slows down. Ultra low angle, intense speed, realistic motion blur, anamorphic cinema lens. 2-4 seconds: Suddenly, the highway violently explodes from underneath. The moment of destruction switches into extreme slow motion. The asphalt breaks apart and huge concrete fragments, metal pieces, rocks and sand fly directly toward the camera. Debris rotates slowly in the air, dust particles float around the lens, and the shockwave pushes sand across the desert. The camera shakes from the impact. Cinematic speed ramp, bullet time explosion, 120fps slow motion, realistic destruction effects. 4-5 seconds: The slow motion instantly returns to normal speed. A gigantic prehistoric desert leviathan bursts out from beneath the broken highway with unstoppable force. It tears through the asphalt, throwing massive chunks of rock and sand into the air. The camera stays at a low angle and pushes closer toward the creature as it turns toward the lens. The final frame is an intense face-to-face monster reveal. Creature design: A realistic prehistoric desert leviathan, massive muscular body, rough armored skin, natural scales, huge horns, sand-covered textures, believable weight and movement. Not fantasy, not magical, no glowing effects.
Seedance 2.5 Image-to-Video Turbo delivers high-resolution 720p and 1080p cinematic videos from reference images with turbo generation — a faster, more affordable way to get high-resolution output while preserving the input image's subject and composition.
Turbo output Generates 720p or 1080p with turbo-accelerated delivery.
Image-faithful generation Preserves the reference image's subject identity, composition, lighting, and style.
Multi-image reference support Guide generation with up to 4 reference images for consistent style, characters, or scenes.
Native audio-visual synchronization Generates video with synchronized audio in a single pass.
Director-level control Camera movement, lighting, shadows, and character performance controlled through prompts.
Exceptional motion stability Industry-leading motion coherence with stable subjects and fluid transitions.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Detailed description of the cinematic scene |
| image | Yes | Start image URL to guide the video generation |
| last_image | No | Last frame image URL for video continuation |
| duration | No | Video length in seconds: 4-30 (default: 5) |
| aspect_ratio | No | Output format: 16:9, 9:16, 4:3, 3:4, 1:1, 21:9 (default: adaptive) |
| resolution | No | Output resolution: 720p (default) or 1080p |
Seedance 2.5 base rate ($0.90 per 5 seconds) plus a flat resolution surcharge of $0.10 per 5 seconds at 720p or $0.15 per 5 seconds at 1080p, prorated per second.
| Resolution | Duration | Cost |
|---|---|---|
| 720p | 5 s | $1.00 |
| 720p | 10 s | $2.00 |
| 720p | 15 s | $3.00 |
| 720p | 30 s | $6.00 |
| 1080p | 5 s | $1.05 |
| 1080p | 10 s | $2.10 |
| 1080p | 15 s | $3.15 |
| 1080p | 30 s | $6.30 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.5 Image To Video Turbo below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/image-to-video-turbo" \
-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-2.5/image-to-video-turbo";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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 = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio": True
}
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-2.5/image-to-video-turbo", 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 2.5 Image To Video Turbo is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.5 (Image-to-Video Turbo) generates cinematic 720p/1080p videos from reference images —a faster, more affordable high-resolution tier with native audio-visual synchronization, director-level control, and exceptional motion stability. 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-2.5-image-to-video-turbo.
Seedance 2.5 Image To Video Turbo starts at $1.00 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`, `resolution`, `duration`, `generate_audio`, `last_image`. 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-2.5-image-to-video-turbo.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.