Seedance 2.0 Mini Spicy Image to Video is ByteDance's faster, lower-cost image-to-video model for cinematic multi-shot videos. It turns reference images and optional text prompts into narrative sequences with AI camera control, consistent characters, 480P / 720P / 1080P / 4K output, 4-15s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.6per run·~16 / $10
A realistic cinematic shot of the WaveSpeed airplane flying forward through a dreamy sky filled with soft clouds. The aircraft slowly advances through the atmosphere, maintaining the same side profile and framing. Subtle engine movement, realistic wing motion, clouds flowing past naturally, smooth aerial tracking shot. No camera shake, no rotation, no change of composition. Premium aviation commercial style, cinematic lighting, ultra realistic.
ByteDance Seedance 2.0 Mini Image-to-Video Spicy generates videos from a start image, with optional prompt guidance, last-frame guidance, native audio generation, and seed control. Upload an image, choose the output resolution and duration, and generate a video in 480p, 720p, 1080p, or 4k.
Image-to-video generation
Turn a start image into a generated video.
Optional prompt guidance
Describe the scene, action, camera movement, and mood for the video.
Last-frame guidance
Use last_image to guide the final frame or continuation direction.
Native audio generation
Generate synchronized audio together with the output video using generate_audio.
Flexible aspect ratios
Choose from 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9, or let the output adapt to the input image.
Seed control
Use a fixed seed for more reproducible outputs, or -1 for a random seed.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Start image URL to guide the video generation. |
| prompt | No | Describe the scene, action, camera movement, and mood for the video. |
| last_image | No | Last frame image URL for video continuation. |
| aspect_ratio | No | Output aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. If not specified, adapts to the input image. |
| resolution | No | Output video resolution: 480p, 720p, 1080p, or 4k. Default: 720p. |
| duration | No | Duration of the generated video in seconds. Range: 4–15. Default: 5. |
| generate_audio | No | Whether to generate native audio synchronized with the output video. Default: true. |
| seed | No | Random seed for generation. Use -1 for a random seed. Default: -1. |
last_image when you want to guide the final frame.480p, 720p, 1080p, or 4k.4 and 15 seconds.generate_audio enabled for synchronized native audio, or disable it if audio is not needed.-1 for random generation.A cinematic shot of the character slowly walking through a neon-lit street at night, soft rain falling, reflections on the wet pavement, gentle camera movement, atmospheric lighting, calm but dramatic mood.
The input image sets the first frame — your prompt directs what happens from there. The clearer the motion and camera direction, the better the result.
Describe the action that begins from your image: what the subject does, where it goes, how the camera moves. Don't re-describe what's already visible in the image — build on it.
The woman in the photo turns from the window and walks toward the camera; slow push-in, warm interior light.
For longer clips, break the motion into timed segments (1-second granularity), continuous, no gaps.
0-2s: She turns from the window, a faint smile forming. Camera holds. 2-5s: She walks toward the lens and stops mid-frame; slow push-in, shallow focus. 5-8s: She glances off-screen as light shifts from warm to cool. Handheld drift.
Lock the look for the whole clip: camera style, lighting, palette, atmosphere, audio.
Write these directly; the model understands them:
For a niche term, add a plain-language gloss: "rack focus: the sharp foreground softens as the background comes into focus."
When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @image1, @video1, @audio1 — and say what it's for. Don't rely on labels drawn inside the image itself.
When a reference is already accurate, just point to it — no need to re-describe it in detail.
Positive descriptions work best, but you can suppress subtitles and audio:
| prompt | |
|---|---|
| weak | make it move |
| strong | The parked car in the image pulls out and drives down the wet street. 0-3s: headlights flick on, the car eases forward, reflections rippling on the asphalt. 3-6s: it accelerates past the camera, which pans to follow. Low angle, neon reflections, light rain, cinematic night mood. Engine and rain sounds, no music. |
| Resolution | Cost |
|---|---|
| 480p | $0.30 |
| 720p | $0.60 |
| 1080p | $1.50 |
| 4k | $3.00 |
| Resolution | Cost |
|---|---|
| 480p | $0.06 |
| 720p | $0.12 |
| 1080p | $0.30 |
| 4k | $0.60 |
| Resolution | 4s | 5s | 10s | 15s |
|---|---|---|---|---|
| 480p | $0.24 | $0.30 | $0.60 | $0.90 |
| 720p | $0.48 | $0.60 | $1.20 | $1.80 |
| 1080p | $1.20 | $1.50 | $3.00 | $4.50 |
| 4k | $2.40 | $3.00 | $6.00 | $9.00 |
image and last_image to guide the beginning and ending of the video.last_image when the final frame or ending direction matters.480p for quick testing, 720p for standard output, 1080p for higher-resolution results, and 4k for maximum-resolution output.generate_audio enabled when you want the video to include synchronized native audio.seed when you want more reproducible outputs.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/image-to-video-spicy with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Mini Image To Video Spicy below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(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' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
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
}
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-mini/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 = 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", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Seedance 2.0 Mini Image To Video Spicy is a ByteDance model for video generation from images, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Spicy Image to Video is ByteDance's faster, lower-cost image-to-video model for cinematic multi-shot videos. It turns reference images and optional text prompts into narrative sequences with AI camera control, consistent characters, 480P / 720P / 1080P / 4K output, 4-15s duration, and flexible aspect ratios. 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 Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedance-2.0-mini-image-to-video-spicy.
Seedance 2.0 Mini Image To Video Spicy starts at $0.6 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-mini-image-to-video-spicy.
Reported generation time on WaveSpeedAI is around 156 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (ByteDance). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.