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ByteDance Seed Audio 1.0 Text to Audio API

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ByteDance Seed Audio 1.0 Text to Audio generates natural speech and audio from text prompts, with optional preset voice, reference audio, or reference image guidance for flexible audio creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
輸入

就緒

$0.3每次運行·~33 / $10

示例查看全部

Post-apocalyptic radio broadcast audio: an old radio studio at night, microphone static, rain hitting cracked windows, emergency lights buzzing, papers shaking from distant explosions. A tired male radio host speaks into the microphone: “If anyone can hear this, stay away from the northern bridge. The city is not safe anymore.” Realistic radio voice, emotional, tense, cinematic, no music.

相關模型

README

ByteDance Seed Audio

ByteDance Seed Audio generates natural speech and audio from a text prompt. It supports preset voices, optional reference audio clips, optional image guidance, and common audio output controls such as format, sample rate, speed, volume, and pitch.

Why Choose This?

  • Natural speech and audio generation
    Generate speech or audio directly from a text prompt.

  • Preset voice support
    Choose from multiple preset voices for text-to-speech generation.

  • Reference audio guidance
    Upload up to 3 reference audio clips to guide the generated voice or audio style.

  • Image guidance support
    Provide a single reference image to guide audio generation.

  • Flexible audio controls
    Adjust output format, sample rate, speed, volume, and pitch to match your workflow.

Parameters

ParameterRequiredDescription
promptYesText or audio prompt to synthesize.
audiosNoOptional reference audio URLs. Upload up to 3 clips. Do not use together with image.
imageNoOptional single reference image URL. Do not use together with audio.
output_formatNoAudio output format: wav, mp3, pcm, or ogg_opus. Default: mp3.
sample_rateNoOutput sample rate in Hz. Supported values: 8000, 16000, 24000, 32000, 44100, 48000. Default: 24000.
speedNoSpeech speed multiplier. Range: 0.5 to 2. Default: 1.
volumeNoSpeech volume multiplier. Range: 0.5 to 2. Default: 1.
pitchNoPitch shift in semitones. Range: -12 to 12. Default: 0.

How to Use

  1. Write your prompt — Enter the text or audio description you want to synthesize.
  2. Add reference audio optional — Upload up to 3 audio clips when you want reference-based voice or audio guidance.
  3. Add image guidance optional — Use image when you want to guide generation from a single reference image.
  4. Set audio controls optional — Choose output format, sample rate, speed, volume, and pitch.
  5. Submit — Generate the final audio output.

Pricing

  • Just $0.3 per generate.

Best Use Cases

  • Text-to-speech generation — Convert written text into natural spoken audio.
  • Voice-guided speech generation — Use reference audio clips to guide the generated voice or audio style.
  • Image-guided audio generation — Use a reference image to guide audio creation.
  • Narration and dialogue — Generate voice audio for videos, demos, apps, and creative projects.
  • Audio prototyping — Test different voices, speeds, volumes, pitches, and output formats.

Pro Tips

  • Use a clear and focused prompt for more stable audio generation.
  • Use clean reference audio clips when voice or style guidance matters.
  • Use mp3 for general-purpose output and smaller file size.
  • Use wav when you need higher-quality audio for post-production.
  • Adjust speed, volume, and pitch only when you need specific delivery control.
  • Ensure reference audio and image URLs are publicly accessible.
提示:本網站部分功能由第三方 AI 模型提供支援。

Seed Audio 1.0 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seed-audio-1.0 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 Seed Audio 1.0 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",
    "output_format": "mp3",
    "sample_rate": 24000,
    "speed": 1,
    "volume": 1,
    "pitch": 0
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seed-audio-1.0" \
  -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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bytedance/seed-audio-1.0";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "output_format": "mp3",
        "sample_rate": 24000,
        "speed": 1,
        "volume": 1,
        "pitch": 0
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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));
}
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",
    "output_format": "mp3",
    "sample_rate": 24000,
    "speed": 1,
    "volume": 1,
    "pitch": 0
}

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/seed-audio-1.0", 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)

Seed Audio 1.0 API — Frequently asked questions

What is the Seed Audio 1.0 API?

Seed Audio 1.0 is a ByteDance model for audio generation, exposed as a REST API on WaveSpeedAI. ByteDance Seed Audio 1.0 Text to Audio generates natural speech and audio from text prompts, with optional preset voice, reference audio, or reference image guidance for flexible audio creation. 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 Seed Audio 1.0 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 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-seed-audio-1.0.

How much does Seed Audio 1.0 cost per run?

Seed Audio 1.0 starts at $0.30 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 Seed Audio 1.0 accept?

Key inputs: `prompt`, `image`, `audios`, `output_format`, `pitch`, `sample_rate`. 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-seed-audio-1.0.

How long does Seed Audio 1.0 take to generate?

Median end-to-end generation time on WaveSpeedAI is around 32 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Seed Audio 1.0 outputs commercially?

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.

ByteDance Seed Audio 1.0 Text to Audio API | WaveSpeedAI