Venice音频Speech

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Venice音频Speech专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

Venice音频Speech是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/venice-audio-speech-j553
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791623017
正文体量7.9 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Venice音频Speech当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

7.9 KB
模型实际读到的说明书原文,来自技能仓库

Venice TTS (/audio/speech)

POST /api/v1/audio/speech converts text to an audio stream or file. OpenAI-compatible — the OpenAI SDK's audio.speech.create() works as a drop-in.

Use when

  • You want narration, voice replies, or UI audio from text.
  • You need a specific voice family (ElevenLabs, Kokoro, xAI, Qwen 3, Orpheus, Chatterbox, MiniMax, Inworld, Gemini Flash).
  • You want streaming audio returned sentence-by-sentence.
  • You need style/emotion control on supported models.

For music generation (lyrics + instrumental), see venice-audio-music. For transcription (audio → text), see venice-audio-transcription.

Minimal request

curl https://api.venice.ai/api/v1/audio/speech \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-xai-v1",
    "voice": "eve",
    "input": "Hello, welcome to Venice Voice.",
    "response_format": "mp3",
    "speed": 1.0,
    "streaming": false
  }' --output hello.mp3

Response is the raw audio (Content-Type matches response_format).

Request schema

Field Type Default Notes
input string — Required. Up to 4096 characters.
model enum tts-kokoro (OpenAPI schema default) See model list below. tts-xai-v1 is the recommended frontier default; pick the model that fits your voice + language needs.
voice enum model-specific (e.g. eve for tts-xai-v1) Voice is model-specific — wrong combo = 400. See voice families.
response_format mp3 / opus / aac / flac / wav / pcm mp3 pcm returns 24 kHz signed-16 LE for pipelines.
speed number 1.0 Range 0.25–4.0.
streaming bool false true → streamed sentence-by-sentence as audio continues to generate.
language string — Optional hint. Accepted form depends on model (Qwen 3 = full names like English; xAI / ElevenLabs = ISO 639-1 like en; MiniMax = full names). Unsupported values silently ignored.
prompt string, ≤ 500 — Emotion / style cue. Only for models with supportsPromptParam (Qwen 3 currently). Examples: "Very happy.", "Sad and slow.".
temperature 0–2 — Sampling temperature. Only for models with supportsTemperatureParam (Qwen 3, Orpheus, Chatterbox HD).
top_p 0–1 — Only Qwen 3 currently.

Models

Model ID Family Highlights
tts-xai-v1 xAI Recommended default. Conversational style, ISO 639-1 language hints.
tts-kokoro Kokoro OpenAPI schema default. Multilingual, many voices across languages.
tts-qwen3-0-6b / tts-qwen3-1-7b Qwen 3 Emotion control via prompt, temperature, top_p.
tts-inworld-1-5-max Inworld Character-driven voices (Craig, Ashley, …).
tts-chatterbox-hd Chatterbox HD voices (Aurora, Blade, …), temperature.
tts-orpheus Orpheus Conversational (tara, leah, jess, leo, …), temperature.
tts-elevenlabs-turbo-v2-5 ElevenLabs Turbo Rachel, Aria, Charlotte, Roger, …
tts-minimax-speech-02-hd MiniMax WiseWoman, DeepVoiceMan, …
tts-gemini-3-1-flash Gemini Flash Star-named voices (Achernar, Achird, Zephyr, …).

Always inspect the entry for your model in GET /models?type=tts — model_spec.voices is the authoritative voice list. Per-model toggles like supportsPromptParam, supportsTemperatureParam, supportsTopPParam live on the internal model definitions but are not currently exposed on /models — treat the request schema below (instructions, temperature, top_p) as the support matrix.

Voice families (by prefix)

  • Kokoro — lowercase + language/gender prefix:
  • af_*, am_* — American female / male
  • bf_*, bm_* — British female / male
  • zf_*, zm_* — Chinese
  • ff_*, hf_*, hm_*, if_*, im_*, jf_*, jm_*, pf_*, pm_*, ef_*, em_* — French, Hindi, Italian, Japanese, Portuguese, Spanish
  • Examples: af_sky, af_bella, am_adam, bm_george, zf_xiaoxiao
  • Qwen 3 — Vivian, Serena, Ono_Anna, Sohee, Uncle_Fu, Dylan, Eric, Ryan, Aiden
  • xAI — eve, ara, rex, sal, leo
  • Orpheus — tara, leah, jess, mia, zoe, dan, zac
  • Inworld — Craig, Ashley, Olivia, Sarah, Elizabeth, Priya, Alex, Edward, Theodore, Ronald, Mark, Hades, Luna, Pixie
  • Chatterbox — Aurora, Britney, Siobhan, Vicky, Blade, Carl, Cliff, Richard, Rico
  • ElevenLabs Turbo — Rachel, Aria, Laura, Charlotte, Alice, Matilda, Jessica, Lily, Roger, Charlie, George, Callum, River, Liam, Will, Chris, Brian, Daniel, Bill
  • MiniMax — WiseWoman, FriendlyPerson, InspirationalGirl, CalmWoman, LivelyGirl, LovelyGirl, SweetGirl, ExuberantGirl, DeepVoiceMan, CasualGuy, PatientMan, YoungKnight, DeterminedMan, ImposingManner, ElegantMan
  • Gemini 3 Flash — star names: Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Pulcherrima, Puck, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubi

Pass a voice that isn't in the chosen model's list and you get 400.

Streaming

{
  "model": "tts-xai-v1",
  "voice": "eve",
  "input": "Hello, this is a long document to narrate. ...",
  "streaming": true,
  "response_format": "mp3"
}

With streaming: true, the HTTP body is a chunked audio stream. Decode as it arrives — useful for latency-sensitive UIs. response_format: pcm pairs well with browser Web Audio API for raw playback.

OpenAI SDK

import OpenAI from 'openai'
import fs from 'node:fs/promises'

const client = new OpenAI({
  apiKey: process.env.VENICE_API_KEY,
  baseURL: 'https://api.venice.ai/api/v1',
})

const mp3 = await client.audio.speech.create({
  model: 'tts-xai-v1',
  voice: 'eve',
  input: 'Hello from Venice.',
  response_format: 'mp3',
})

await fs.writeFile('hello.mp3', Buffer.from(await mp3.arrayBuffer()))

Emotion / style (Qwen 3 only)

{
  "model": "tts-qwen3-1-7b",
  "voice": "Vivian",
  "input": "We did it!",
  "prompt": "Excited and energetic.",
  "temperature": 0.9,
  "top_p": 0.95
}

For other families, emotion comes from the voice choice itself (e.g. Inworld Hades vs Pixie). prompt / temperature / top_p are silently ignored.

Errors

Code Meaning
400 Bad voice/model combo, input too long (>4096), language hint rejected by a strict model, invalid voice for the chosen model.
401 Auth / Pro-only model.
402 Insufficient balance.
429 Rate limited.
500 / 503 Inference / capacity issue — retry with jitter.

Gotchas

  • input hard cap is 4096 chars. For books / long content, split on sentence boundaries and concatenate audio client-side.
  • streaming: true + SDKs: some OpenAI SDK versions don't expose streaming for audio.speech.create; call the REST endpoint directly and consume the HTTP body.
  • speed compounds with model internal speech rate — extreme values (0.25, 4.0) often sound unnatural; keep within 0.8–1.3 for narration.
  • Voice names are case-sensitive (eve ≠ EVE, af_sky ≠ AF_SKY).

常见问题

5 问
答案由本站依据条目字段整理
Venice音频Speech怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/venice-audio-speech-j553。安装方式为未标注。装完刷新技能列表或重开客户端。

Venice音频Speech支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Venice音频Speech权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Venice音频Speech收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Venice音频Speech用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

热门专题

按场景挑技能
全部专题 →

技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。