1.5 KiB
1.5 KiB
tags, updated
| tags | updated | ||
|---|---|---|---|
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2026-10-15 |
Tools and Setup
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Paths on TonyB
C:\tts\tts.py- Chatterbox voice script (--ref <wav>for cloning)C:\tts\gemini_tts.py- Gemini TTS;--stylefor directions,--whole(whole script in one request),--fallback-model(switch to Lite when the daily limit is hit)C:\tts\qwen3tts- Qwen3-TTS venv (1.7B VoiceDesign / Base clone)C:\tts\chatterbox- Chatterbox venvC:\tts\voices\user_announcer_ref.wav- user's own announcer recording (20.65 s, mono 24 kHz)C:\tts\vt\vt.py- voice-test runnerC:\video\template- video templateC:\video\HERMES_PROMPT.md,C:\video\COPYWRITING.mdC:\video\examples\prop1ad- worked exampleC:\video\voice_tests- bake-off samples- Hermes profile:
C:\Users\fight\AppData\Local\hermes\profiles\explainer- start withexplainer chat
GPU (RTX 3060, 12 GB)
- Qwen llama-server on :1922 uses ~6.4 GB baseline. Never start Gemma (:1923) alongside it.
- Peak VRAM seen: Chatterbox 3.9 GB, Qwen3-TTS VoiceDesign ~4.3-4.5 GB, Qwen3-TTS clone 5.0 GB. Run TTS models one at a time.
- Long runs: one-time scheduled tasks (
schtasks /create ... /sc once,/run), delete afterwards.
Gemini
- Free tier: 10 requests/day on flash-tts (resets ~4:50 PM PT); flash-lite-tts 3/min. Script auto-falls back to Lite.
- Style must go in
speech_metadata.style(interactions endpoint), never in the text. GEMINI_API_KEYgoes in the explainer profile.env(user step; not confirmed done).