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qwen-tts-audio

通过 RabiSpeech 使用本地 Qwen3-TTS 0.6B 或 1.7B 生成角色、多语言或音色复刻语音。用户指定 Qwen3-TTS、日语/多语言、本地参考音频、角色名或模型大小对比时使用。不得启动技能内 worker、OumuQ 或任何 Qwen/DashScope 云端 API。

Skill by vb2250158

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

通过 RabiSpeech 使用本地 Qwen3-TTS 0.6B 或 1.7B 生成角色、多语言或音色复刻语音。用户指定 Qwen3-TTS、日语/多语言、本地参考音频、角色名或模型大小对比时使用。不得启动技能内 worker、OumuQ 或任何 Qwen/DashScope 云端 API。

Use cases: backend, voice-agents, audio-video

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/qwen-tts-audio

What's inside

Skill name
qwen-tts-audio
Description
通过 RabiSpeech 使用本地 Qwen3-TTS 0.6B 或 1.7B 生成角色、多语言或音色复刻语音。用户指定 Qwen3-TTS、日语/多语言、本地参考音频、角色名或模型大小对比时使用。不得启动技能内 worker、OumuQ 或任何 Qwen/DashScope 云端 API。
License
MIT
Instructions
32 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# RabiSpeech Qwen3-TTS

可用模型：

- `local-tts/qwen3-tts-0.6b-base`：显存和冷启动较低，适合常规多语言对话。
- `local-tts/qwen3-tts-1.7b-base`：更大的本地模型，质量优先时选择。

## 流程

先读 [TTS 路由](../tts-router/SKILL.md)。`speechBaseUrl` 必须从当前服务配置取得；下例中的 `$speechBaseUrl` 由该发现步骤赋值。

1. 查询 `GET <speechBaseUrl>/v1/models`，确认模型已安装。
2. 把 Rabi 角色目录名作为 `voice`；每次请求显式发送，不能继承上一会话角色。
3. 使用 `language` 指定目标语音语言，使用 `instructions` 提供简短风格/情绪说明。
4. 对话用 `play=true` 和 `session_id`；测试用 `play=false` 保存 WAV。

```powershell
$body = @{
  model = 'local-tts/qwen3-tts-0.6b-base'
  input = 'こんばんは。これはローカル音声テストです。'
  voice = '<RoleId>'
  response_format = 'wav'
  language = 'ja'
  instructions = '自然で落ち着いた会話調。'
  play = $false
} | ConvertTo-Json -Compress
Invoke-WebRequest -Method Post -Uri ($speechBaseUrl.TrimEnd('/') + '/v1/audio/speech') -ContentType 'application/json' -Body $body -OutFile '.\qwen3-tts.wav'
```

模型加载、参考音频选择、缓存和 worker 生命周期全部由 RabiSpeech 管理。

From vb2250158/RabiRoute, MIT.

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    Last commit (this folder)
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    Last release
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    From GitHub (fetched Oct 24, 2026).

    Details

    License
    MIT
    Repository
    github.com/vb2250158/RabiRoute
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026
    Source
    GitHubgithub-graphql

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    qwen-tts-audio skill. Agent Mart. https://agentmart.dev/skills/vb2250158-qwen-tts-audio (last updated 2026-10-24)