Seedance 2.0 Fast Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images at faster speed and lower cost, optimized for scalable content generation with smooth animations and stable aesthetics. Ready-to-use REST inference API for animating images, social media clips, product videos, advertising creatives, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.
Siap
$0.5per run·~20 / $10
One continuous unbroken shot, no cuts: A young female warrior stands in the center of an ancient Roman-style white marble courtyard, wearing dark leather armor and holding two short blades in a defensive stance. Several massive black wolf-like beasts slowly surround her from every direction, then suddenly leap toward her at the same time. She spins, ducks, blocks with crossed blades, and counterattacks in a fluid continuous motion, forcing the beasts back. The camera begins at a low angle near the ground, slowly pushes toward the warrior, then orbits halfway around her while passing through flying dust, sparks, and ash, ending in a close-up of her determined face. The beasts’ black fur whips violently with their movement, their fangs and claws clearly visible. Smoke rises in the courtyard, sunlight streams between the white marble columns, and dust floats in the light beams. Epic fantasy action film, realistic cinematic look, highly detailed, strong contrast, motion blur, intense battle choreography, widescreen composition, 8 seconds.
Seedance 2.0 Fast Spicy generates unlimited high-quality cinematic clips from images at faster speed and lower cost than the standard Seedance 2.0 Spicy. It transforms static images into dynamic video with bold motion, rich tonal contrast, and stable temporal coherence — perfect for high-volume, iteration-heavy creative workflows.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image to animate (URL or upload). |
| prompt | No | Describe the motion, story, and style. |
| last_image | No | Optional ending frame to steer final composition. |
| duration | No | Video length in seconds (4–15, default: 5). |
| resolution | No | 480p, 720p (default), 1080p, or 4k. |
| aspect_ratio | No | 21:9, 16:9, 4:3, 1:1, 3:4, 9:16. |
| generate_audio | No | Generate synchronized audio (default: true). |
| seed | No | Random seed; -1 for random. |
| Resolution | Duration | Audio On | Audio Off |
|---|---|---|---|
| 480p | 5 s | $0.50 | $0.25 |
| 720p | 5 s | $1.00 | $0.50 |
| 1080p | 5 s | $2.50 | $1.25 |
| 4k | 5 s | $5.00 | $2.50 |
| 480p | 10 s | $1.00 | $0.50 |
| 720p | 10 s | $2.00 | $1.00 |
| 1080p | 10 s | $5.00 | $2.50 |
| 4k | 10 s | $10.00 | $5.00 |
| 480p | 15 s | $1.50 | $0.75 |
| 720p | 15 s | $3.00 | $1.50 |
| 1080p | 15 s | $7.50 | $3.75 |
| 4k | 15 s | $15.00 | $7.50 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/image-to-video-spicy with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Fast Image To Video Spicy below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/image-to-video-spicy" \
-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-2.0-fast/image-to-video-spicy";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true,
"seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": True,
"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-2.0-fast/image-to-video-spicy", 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 2.0 Fast Image To Video Spicy is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Fast Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images at faster speed and lower cost, optimized for scalable content generation with smooth animations and stable aesthetics. Ready-to-use REST inference API for animating images, social media clips, product videos, advertising creatives, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and 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-2.0-fast-image-to-video-spicy.
Seedance 2.0 Fast Image To Video Spicy starts at $0.50 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`, `resolution`, `duration`, `seed`. 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-2.0-fast-image-to-video-spicy.
Median end-to-end generation time on WaveSpeedAI is around 168 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.