Seedance 2.0 Fast (Text-to-Video) generates cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability — optimized for faster generation at lower cost. Built on Seed's unified multimodal architecture.
Idle
$0.5per run·~20 / $10
ExamplesView all
Ultra realistic cinematic lifestyle shot, beautiful young Caucasian woman sitting in a bright minimalist café, calm neutral facial expression, natural relaxed gaze, soft loose hair slightly stirred by indoor breeze, modest loose neutral long-sleeve casual top, high-waisted straight-fit trousers, plain fabric without any logos or brand prints, natural casual sitting posture, one hand gently gripping a ceramic latte mug with thin wispy steam rising, subtle slight motion blur on wrists and fingers to create fast-paced lively atmosphere, warm natural daylight pouring through floor-to-ceiling windows, soft gentle lens flare, light wood café furniture, blurred faint patrons in background, small green potted plants beside windows, bright airy ambient lighting, warm mild color grading, shallow depth of field, slight shaky handheld dynamic shot, lifelike natural skin texture, clear delicate facial details, laid-back casual daily vibe, shot on 35mm film, neat clean indoor space, no messy clutter
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README
Seedance 2.0 Fast Text-to-Video
Seedance 2.0 Fast is the speed-optimized version of Seed's latest video generation model. The Text-to-Video mode generates cinematic videos from text prompts with native audio synchronization — faster and at 33% lower cost than the standard version, ideal for rapid iteration and high-volume production.
Key Features
-
Speed-optimized generation Faster processing for quick turnaround on video projects, perfect for iteration and prototyping.
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33% lower cost $0.80 per 5 seconds vs $1.20 for the standard version — ideal for high-volume production.
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Unified multimodal architecture Same Seedance 2.0 foundation handling text, image, audio, and video inputs.
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Native audio-visual synchronization Generates video with synchronized audio in a single pass.
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Director-level control Camera movement, lighting, shadows, and character performance controlled through prompts.
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Strong motion stability Coherent motion with stable subjects and fluid transitions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Detailed description of the cinematic scene |
| aspect_ratio | No | Output format: 16:9 (default), 9:16, 4:3, 3:4, 1:1, 21:9 |
| duration | No | Video length in seconds: 4-15 (default: 5) |
| resolution | No | Output resolution: 480p, 720p (default), 1080p, or 4k |
| enable_web_search | No | Enable web search for real-time information (default: false) |
| generate_audio | No | Generate synchronized audio for the output video (default: true) |
| reference_images | No | Reference image URLs to guide style, characters, or composition |
| reference_videos | No | Reference video URLs (up to 3). Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing. |
| reference_audios | No | Reference audio URLs (total length must not exceed 15 seconds) |
How to Use
- Write your prompt — describe the scene with cinematic detail.
- Select aspect ratio — 16:9 for widescreen, 9:16 for vertical, 4:3 or 3:4 for classic formats.
- Set duration — choose any duration from 4 to 15 seconds.
- Optionally add references — provide reference images, videos, or audios for style guidance.
- Run — submit and download your video.
Writing Effective Prompts
Most weak results come from thin prompts. Seedance reads a prompt like a shot list — the more you direct it, the more it delivers. Structure your prompt in three layers.
1. One-sentence summary
Open with a single line that fixes the essentials:
subject + setting + action + style + camera
A lone astronaut walks across a red desert at dusk, cinematic sci-fi, slow low-angle tracking shot.
2. Shot-by-shot timeline
For anything with a beginning, middle, and end, break the duration into timed segments (1-second granularity). Keep the timeline continuous — no gaps.
0-3s: The astronaut crests a dune, silhouetted against the setting sun. Slow push-in. 3-7s: They stop, turn to face the camera, and raise a hand to shield their eyes. Wind lifts red dust across the frame. 7-10s: Wide pull-back reveals a half-buried spaceship behind them. Warm rim light, long shadows.
Give each range enough to do but not too much — cramming a dozen actions into three seconds causes cuts or dropped beats.
3. Consistency notes
End with anything that should hold across the whole clip: camera style, lighting, color palette, atmosphere, audio.
Handheld feel throughout, shallow depth of field, warm golden-hour palette. Ambient wind and footsteps only — no music.
Camera language
Write these directly; the model understands them:
- Shot size — extreme wide, wide, medium, medium close-up, close-up
- Movement — push in, pull out, pan, track, follow, orbit, tilt up, handheld shake
- Angle — low angle, overhead, eye-level, first-person
- Techniques — one-shot / long take, dolly zoom, bullet time, speed ramp
For a niche term, add a plain-language gloss: "rack focus: the sharp foreground softens as the background comes into focus."
Referencing uploaded assets
When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @Image 1, @Video 1, @Audio 1 — and say what it's for. Don't rely on labels drawn inside the image itself.
- "The knight in @Image 1 walks through the castle in @Image 2."
- "Refer to @Video 1 for the camera movement only; keep its shot order."
- "@Image 1 and @Image 2 are Character 1, voiced by @Audio 1."
When a reference is already accurate, just point to it — no need to re-describe it in detail.
Negative control
Positive descriptions work best, but you can suppress subtitles and audio:
- "No subtitles."
- "No BGM — ambient and action sounds only."
- "No audio."
Weak vs. strong
| prompt | |
|---|---|
| weak | a cat playing |
| strong | A ginger cat pounces on a ball of yarn on a sunlit wooden floor. 0-2s: it crouches, tail flicking, eyes locked on the yarn. 2-5s: it springs forward and bats the yarn across the floor, then chases it out of frame. Low eye-level shot, slight handheld follow, warm afternoon light, shallow depth of field. Playful mood, soft ambient room tone, no music. |
Pricing
Without reference videos
Output-only pricing:
| Resolution | Per second | 5 seconds | 10 seconds | 15 seconds |
|---|---|---|---|---|
| 480p | $0.10 | $0.50 | $1.00 | $1.50 |
| 720p | $0.20 | $1.00 | $2.00 | $3.00 |
| 1080p | $0.50 | $2.50 | $5.00 | $7.50 |
| 4k | $1.00 | $5.00 | $10.00 | $15.00 |
Prices scale linearly with output duration from 4 to 15 seconds.
With reference videos
Normalized reference-video duration and output duration use the same per-second rate:
| Resolution | Per second |
|---|---|
| 480p | $0.065 |
| 720p | $0.13 |
| 1080p | $0.325 |
| 4k | $0.65 |
Each reference video is normalized to at least 2 seconds, each clip and the combined input are capped at 15 seconds, and the normalized combined input duration is rounded up to a whole second for billing.
Example: 5 seconds of normalized reference input plus 5 seconds of output costs $0.65 at 480p, $1.30 at 720p, $3.25 at 1080p, or $6.50 at 4k.
Best Use Cases
- Rapid Prototyping — Quickly iterate on concepts before committing to the standard version.
- High-Volume Production — Cost-effective generation for large content libraries.
- Social Media Content — Fast turnaround for short-form video needs.
- A/B Testing — Generate multiple variations efficiently to find the best creative direction.
Pro Tips
- Use Fast for iteration and testing, switch to standard Seedance 2.0 for final quality.
- Write prompts like a film director — include lighting, camera angles, and mood.
- Start with 5s to iterate, then extend once the look is right.
Notes
- Native audio generation included.
- Duration range: 4-15 seconds (continuous).
- For highest quality output, consider the standard Seedance 2.0.
Related Models
- Seedance 2.0 Text-to-Video — Standard version with highest quality.
- Seedance 2.0 Fast Image-to-Video — Fast image-guided video generation.
- Seedance 2.0 Image-to-Video — Standard image-guided video generation.
Notice: Use @Image 1, @Image 2, @Audio 1, etc. to reference your uploaded assets. Number each type separately, in upload order.
Seedance 2.0 Fast Text To Video API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Seedance 2.0 Fast Text To Video below.
HTTP example
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/text-to-video" \
-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
doneNode.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-fast/text-to-video";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"enable_web_search": false,
"generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}Python example
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",
"resolution": "720p",
"duration": 5,
"enable_web_search": False,
"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-fast/text-to-video", 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 Fast Text To Video API — Frequently asked questions
What is the Seedance 2.0 Fast Text To Video API?
Seedance 2.0 Fast Text To Video is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Fast (Text-to-Video) generates cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability — optimized for faster generation at lower cost. Built on Seed's unified multimodal architecture. You can call it programmatically or try it from the playground above.
How do I call the Seedance 2.0 Fast Text To Video API?
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-fast-text-to-video.
How much does Seedance 2.0 Fast Text To Video cost per run?
Seedance 2.0 Fast Text To Video starts at $0.5 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.
What inputs does Seedance 2.0 Fast Text To Video accept?
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `reference_images`, `enable_web_search`. 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-text-to-video.
How long does Seedance 2.0 Fast Text To Video take to generate?
Reported generation time on WaveSpeedAI is around 150 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.
Can I use Seedance 2.0 Fast Text To Video outputs commercially?
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.
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