Seedance 1.5 Pro Fast (Text-to-Video) converts text prompts into cinematic, live-action-leaning videos with strong prompt adherence, expressive yet stable motion, and consistent aesthetics. It supports 4–12s duration control, multiple aspect ratios (9:16, 1:1, 16:9), and 720p/1080p output with seed-reproducible results—ideal for ads, trailers, and short-drama beats. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.
Idle
$0.2per run·~50 / $10
A candid photograph of a chubby ginger tabby cat deeply relaxed and soaking in a traditional Japanese wooden tub filled with countless floating yellow yuzu fruits. The kitty cat has its eyes closed in bliss, melting into the warm water, with a small white folded towel on its head. Gentle steam rises. Warm, soft natural light filters through a traditional window. Cozy, heartwarming atmosphere, serene. Film grain, highly detailed texture of fur and water.
slow cinematic push-in camera movement, the angle steadily closing in on the subject’s face, eerie stillness, growing tension, ending with the black out
black and white cinematic wide shot of an ancient spartan phalanx standing in perfect formation, hundreds of armored warriors holding long spears, rain falling slowly, mist in the air, dramatic backlight, extreme depth, sharp foreground, blurred background, ultra realistic, epic historical war scene, high contrast, film grain, dramatic shadows, no modern elements
Ultra realistic 8k, A scene from a high-quality animated film, like a work by Makoto Shinkai. In a deep midsummer forest, a train speeds down tracks showered in sunlight filtering through the trees (komorebi). The camera weaves through the trees, chasing the train to emphasize the sense of speed. A girl with her head out the window is bathed in the rapidly changing light and shadow, her hair fluttering in a wind that carries the scent of green. The trees in the background become a green afterimage, vividly highlighting her expression, full of liberation, from moment to moment.
SHOT 13 FINAL ATMOSPHERIC END FRAME Purpose: Lingering dread Prompt: storm clouds rolling slowly over a field of oak trees with spanish moss at dusk, wind bending tall wild flowers, distant silhouette of a ruined church, ominous sky, quiet foreboding, cinematic ending frame
Seedance V1.5 Pro Text-to-Video Fast is ’s production-oriented text-to-video model on WaveSpeedAI. It generates short, cinematic clips from a single natural-language prompt with strong prompt adherence and expressive motion, optimized for fast iteration across common aspect ratios.
| Parameter | Description |
|---|---|
| prompt* | The positive prompt describing what to generate (subject + action + scene + mood). |
| aspect_ratio | Output aspect ratio: 21:9, 16:9, 4:3, 1:1, 3:4, 9:16. |
| duration | Output duration in seconds (available values depend on the endpoint UI/validator). |
| resolution | Output resolution: 720p or 1080p. |
| generate_audio | Whether to generate audio (true/false). |
| camera_fixed | Whether to lock camera position (true/false). |
| seed | Random seed (-1 for random; set a fixed integer for repeatable results). |
Write prompts like a director’s brief:
Practical tips:
| Resolution | Generate audio | Price per 5 seconds | Price per second |
|---|---|---|---|
| 720p | true | $0.20 | $0.04 |
| 720p | false | $0.10 | $0.02 |
| 1080p | true | $0.30 | $0.06 |
| 1080p | false | $0.15 | $0.03 |
| Duration | Resolution | Generate audio | Cost per run |
|---|---|---|---|
| 5s | 720p | true | $0.20 |
| 5s | 720p | false | $0.10 |
| 12s | 720p | true | $0.48 |
| 5s | 1080p | true | $0.30 |
| 5s | 1080p | false | $0.15 |
| 12s | 1080p | true | $0.72 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-v1.5-pro/text-to-video-fast with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance v1.5 Pro Text To Video Fast below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"resolution": "720p",
"generate_audio": true,
"camera_fixed": false,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1.5-pro/text-to-video-fast" \
-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-v1.5-pro/text-to-video-fast";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"resolution": "720p",
"generate_audio": true,
"camera_fixed": false,
"seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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 = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5,
"resolution": "720p",
"generate_audio": True,
"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-v1.5-pro/text-to-video-fast", 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 v1.5 Pro Text To Video Fast is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 1.5 Pro Fast (Text-to-Video) converts text prompts into cinematic, live-action-leaning videos with strong prompt adherence, expressive yet stable motion, and consistent aesthetics. It supports 4–12s duration control, multiple aspect ratios (9:16, 1:1, 16:9), and 720p/1080p output with seed-reproducible results—ideal for ads, trailers, and short-drama beats. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable 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-v1.5-pro-text-to-video-fast.
Seedance v1.5 Pro Text To Video Fast starts at $0.20 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`, `aspect_ratio`, `resolution`, `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-v1.5-pro-text-to-video-fast.
Median end-to-end generation time on WaveSpeedAI is around 256 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.