7edf5bc4d0
Major updates: - Added 35+ new skills from awesome-opencode-skills and antigravity repos - Merged SEO skills into seo-master - Merged architecture skills into architecture - Merged security skills into security-auditor and security-coder - Merged testing skills into testing-master and testing-patterns - Merged pentesting skills into pentesting - Renamed website-creator to thai-frontend-dev - Replaced skill-creator with github version - Removed Chutes references (use MiniMax API instead) - Added install-openclaw-skills.sh for cross-platform installation - Updated .env.example with MiniMax API credentials
79 lines
2.1 KiB
Markdown
79 lines
2.1 KiB
Markdown
# TTS Guide
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## CLI usage (recommended)
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```bash
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# Basic
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python scripts/minimax_tts.py "Hello world" -o output.mp3
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# Custom voice and speed
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python scripts/minimax_tts.py "你好世界" -o hi.mp3 -v female-shaonv --speed 0.9
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# WAV format, high quality
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python scripts/minimax_tts.py "Welcome" -o out.wav -v male-qn-jingying --format wav --sample-rate 32000
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# With emotion (for speech-2.6 models)
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python scripts/minimax_tts.py "Great news!" -o happy.mp3 -v female-shaonv --emotion happy --model speech-2.6-hd
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```
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## Programmatic usage
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```python
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from minimax_tts import tts
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# Basic
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audio_bytes = tts("Hello world")
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# With options
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audio_bytes = tts(
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text="Welcome to our product.",
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voice_id="female-shaonv",
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model="speech-2.8-hd",
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speed=0.9,
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fmt="mp3",
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)
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# Save to file
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with open("output.mp3", "wb") as f:
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f.write(audio_bytes)
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```
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## Limits
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- **Sync TTS:** max 10,000 characters per request
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- **Pause markers:** insert `<#1.5#>` for a 1.5s pause (range: 0.01–99.99s)
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## Model selection
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| Model | Best for |
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|-------|----------|
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| `speech-2.8-hd` | Highest quality, auto emotion (recommended) |
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| `speech-2.8-turbo` | Fast, good quality |
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| `speech-2.6-hd` | Manual emotion control needed |
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| `speech-2.6-turbo` | Fast + manual emotion |
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## Voice selection
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See [minimax-voice-catalog.md](minimax-voice-catalog.md) for the full list.
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Common voices:
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| Voice ID | Gender | Style |
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|----------|--------|-------|
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| `male-qn-qingse` | Male | Young, gentle |
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| `male-qn-jingying` | Male | Elite, authoritative |
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| `male-qn-badao` | Male | Dominant, powerful |
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| `female-shaonv` | Female | Young, bright |
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| `female-yujie` | Female | Mature, elegant |
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| `female-chengshu` | Female | Sophisticated |
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| `presenter_male` | Male | News presenter |
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| `presenter_female` | Female | News presenter |
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| `audiobook_male_1` | Male | Audiobook narrator |
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| `audiobook_female_1` | Female | Audiobook narrator |
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## Best practices
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- Use `speech-2.8-hd` and let emotion auto-match — don't manually set emotion unless needed
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- Use 32000 sample rate for web audio (good balance of quality and file size)
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- For long text (>10,000 chars), split into chunks and merge with FFmpeg
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