사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/calesthio/openmontage --skill sound-effects시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
ElevenLabs Sound Effects
Generate sound effects from text descriptions — supports looping, custom duration, and prompt adherence control.
Setup: See Installation Guide. For JavaScript, use @elevenlabs/* packages only.Quick Start
Python
python
from elevenlabs import ElevenLabs
client = ElevenLabs()
audio = client.text_to_sound_effects.convert(
text="Thunder rumbling in the distance with light rain",
)
with open("thunder.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)JavaScript
javascript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
const client = new ElevenLabsClient();
const audio = await client.textToSoundEffects.convert({
text: "Thunder rumbling in the distance with light rain",
});
audio.pipe(createWriteStream("thunder.mp3"));cURL
bash
curl -X POST "https://api.elevenlabs.io/v1/sound-generation" \
-H "xi-api-key: $ELEVENLABS_API_KEY" -H "Content-Type: application/json" \
-d '{"text": "Thunder rumbling in the distance with light rain"}' \
--output thunder.mp3Parameters
| Parameter | Type | Default | Description | |
|---|---|---|---|---|
text | string (required) | — | Description of the desired sound effect | |
model_id | string | eleven_text_to_sound_v2 | Model to use | |
duration_seconds | number \ | null | null (auto) | Duration 0.5–30s; auto-calculated if null |
prompt_influence | number \ | null | 0.3 | How closely to follow the prompt (0–1) |
loop | boolean | false | Generate a seamlessly looping sound (v2 model only) |
Examples with Parameters
python
# Looping ambient sound, 10 seconds
audio = client.text_to_sound_effects.convert(
text="Gentle forest ambiance with birds chirping",
duration_seconds=10.0,
prompt_influence=0.5,
loop=True,
)
# Short UI sound, high prompt adherence
audio = client.text_to_sound_effects.convert(
text="Soft notification chime",
duration_seconds=1.0,
prompt_influence=0.8,
)Output Formats
Pass output_format as a query parameter (cURL) or SDK parameter:
| Format | Description |
|---|---|
mp3_44100_128 | MP3 44.1kHz 128kbps (default) |
pcm_44100 | Raw uncompressed CD quality |
opus_48000_128 | Opus 48kHz 128kbps — efficient compressed |
ulaw_8000 | μ-law 8kHz — telephony |
Full list: mp3_22050_32, mp3_24000_48, mp3_44100_32, mp3_44100_64, mp3_44100_96, mp3_44100_128, mp3_44100_192, pcm_8000, pcm_16000, pcm_22050, pcm_24000, pcm_32000, pcm_44100, pcm_48000, ulaw_8000, alaw_8000, opus_48000_32, opus_48000_64, opus_48000_96, opus_48000_128, opus_48000_192.
Prompt Tips
- Be specific: "Heavy rain on a tin roof" > "Rain"
- Combine elements: "Footsteps on gravel with distant traffic"
- Specify style: "Cinematic braam, horror" or "8-bit retro jump sound"
- Mention mood/context: "Eerie wind howling through an abandoned building"
Error Handling
python
try:
audio = client.text_to_sound_effects.convert(text="Explosion")
except Exception as e:
print(f"API error: {e}")Common errors:
- 401: Invalid API key
- 422: Invalid parameters (check duration range, prompt_influence range)
- 429: Rate limit exceeded
