Seedance 2.0 Mini Text to Video API on WaveSpeedAI

Name: Seedance 2.0 Mini Text to Video
Brand: bytedance
SKU: bytedance/seedance-2.0-mini/text-to-video
Price: 0.6 USD
Availability: InStock

ByteDance Seedance 2.0 Mini Text-to-Video

ByteDance Seedance 2.0 Mini Text-to-Video generates videos from natural-language prompts, with optional reference images, videos, and audio for stronger visual and motion guidance. Describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

Need to generate from a start image instead? Try ByteDance Seedance 2.0 Mini Image-to-Video.

Why Choose This?

Prompt-based video generation
Generate videos directly from text prompts describing the scene, action, camera movement, and mood.
Reference-guided generation
Add reference images, videos, or audio to guide visual style, characters, scene composition, motion, or audio direction.
Native audio generation
Generate synchronized audio together with the output video using generate_audio.
Flexible aspect ratios
Supports 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9 for different video layouts.
Resolution options
Generate videos in 480p, 720p, 1080p, or 4k.
Web search option
Enable enable_web_search when the prompt needs real-time information.

Parameters

Parameter	Required	Description
prompt	Yes	Describe the scene, action, camera movement, and mood for the video.
reference_images	No	Reference image URLs to guide visual style, characters, or scene composition. Supports up to `9` images.
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. Supports up to `3` audio files, with total reference audio length no more than `15` seconds.
aspect_ratio	No	Output aspect ratio: `16:9`, `9:16`, `4:3`, `3:4`, `1:1`, or `21:9`. Default: `16:9`.
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`.
enable_web_search	No	Enable web search for real-time information. Default: `false`.
generate_audio	No	Whether to generate native audio synchronized with the output video. Default: `true`.

How to Use

Write your prompt — Describe the scene, subject, action, camera movement, lighting, and mood.
Add references optional — Upload reference images, videos, or audio when you want stronger guidance.
Choose aspect ratio — Select the output format, such as 16:9, 9:16, or 1:1.
Choose resolution — Select 480p, 720p, 1080p, or 4k.
Set duration — Choose a duration between 4 and 15 seconds.
Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not needed.
Submit — Generate the final video.

Example Prompt

A cinematic night market scene, warm lantern light, people walking through a narrow street, soft camera tracking movement, steam rising from food stalls, realistic atmosphere, gentle ambient motion, rich colors, detailed urban background.

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 — @image1, @video1, @audio1 — and say what it's for. Don't rely on labels drawn inside the image itself.

"The knight in @image1 walks through the castle in @image2."
"Refer to @video1 for the camera movement only; keep its shot order."
"@image1 and @image2 are Character 1, voiced by @audio1."

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	$0.06	$0.30	$0.60	$0.90
720p	$0.12	$0.60	$1.20	$1.80
1080p	$0.30	$1.50	$3.00	$4.50
4k	$0.60	$3.00	$6.00	$9.00

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	$0.0375
720p	$0.075
1080p	$0.1875
4k	$0.375

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 $0.375 at 480p, $0.75 at 720p, $1.875 at 1080p, or $3.75 at 4k.

Best Use Cases

Text-to-video generation — Create short videos directly from natural-language prompts.
Reference-to-video workflows — Use reference images, videos, or audio to guide the generated video.
Cinematic short clips — Generate videos with camera movement, atmosphere, and synchronized audio.
Character and style consistency — Use reference images to guide characters, visual style, or scene composition.
Motion and audio guidance — Use reference videos or audio to guide motion direction or sound style.
Social media content — Generate vertical, square, landscape, or ultra-wide video formats.
Creative prototyping — Test scene ideas, visual concepts, and motion directions quickly.

Pro Tips

Be specific about scene, action, camera movement, lighting, and mood.
Use reference images when character, style, or composition consistency matters.
Use reference videos when motion direction is important.
Use reference audio when the generated video should follow a specific audio style or sound direction.
Use 480p for quick testing, 720p for standard output, 1080p for higher-resolution results, and 4k for maximum-resolution output.
Keep generate_audio enabled when you want the output video to include synchronized native audio.
Choose an aspect ratio based on the final format, such as 9:16 for vertical content or 16:9 for widescreen video.

Notes

Although this endpoint is named Text-to-Video, it also supports reference-to-video workflows through reference_images, reference_videos, and reference_audios.

Related Models

ByteDance Seedance 2.0 Mini Image-to-Video — Generate video from a start image and prompt.

Notice: Use @image1, @image2, @audio1, etc. to reference your uploaded assets. The references will stay as plain text—don't worry.

Seedance 2.0 Mini Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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 Mini 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-mini/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
done

Node.js example

const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.0-mini/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-mini/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 Mini Text To Video API — Frequently asked questions

What is the Seedance 2.0 Mini Text To Video API?

Seedance 2.0 Mini Text To Video is a ByteDance model for video generation, exposed as a REST API on WaveSpeedAI. Seedance 2.0 Mini Text to Video is ByteDance's faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts with AI camera control, consistent characters across scenes, 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.

How do I call the Seedance 2.0 Mini 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-mini-text-to-video.

How much does Seedance 2.0 Mini Text To Video cost per run?

Seedance 2.0 Mini Text To Video 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.

What inputs does Seedance 2.0 Mini 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-mini-text-to-video.

How long does Seedance 2.0 Mini Text To Video take to generate?

Reported generation time on WaveSpeedAI is around 138 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 Mini 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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Related Models

README

ByteDance Seedance 2.0 Mini Text-to-Video

Why Choose This?

Parameters

How to Use

Example Prompt

Writing Effective Prompts

1. One-sentence summary

2. Shot-by-shot timeline

3. Consistency notes

Camera language

Referencing uploaded assets

Negative control

Weak vs. strong

Pricing

Without reference videos

With reference videos

Best Use Cases

Pro Tips

Notes

Related Models

Seedance 2.0 Mini Text To Video API — Quick start

Seedance 2.0 Mini Text To Video API — Frequently asked questions

Learn More

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