CloneV Skill - Voice Cloning Made Simple
⚠️ CRITICAL INSTRUCTIONS FOR AI MODELS
DO NOT try to use Docker containers directly.
DO NOT try to interact with coqui-xtts container - it is broken and restarting.
DO NOT try to use APIs or servers.
ONLY USE THE SCRIPT: scripts/clonev.sh
The script handles everything automatically. Just call it with text, voice sample, and language.
What This Skill Does
Clones any voice from a short audio sample and generates new speech in that voice.
Input:
Text to speak
Voice sample (WAV file, 6-30 seconds)
Language code
Output: OGG voice file (cloned voice speaking the text)
Works with: Any voice! Yours, a celebrity, a character, etc.
The ONE Command You Need
$(scripts/clonev.sh "Your text here" /path/to/voice_sample.wav language)
That's it! Nothing else needed.
Step-by-Step Usage (FOR AI MODELS)
Step 1: Get the required inputs
Text to speak (from user)
Path to voice sample WAV file (from user)
Language code (from user or default to
en)
Step 2: Run the script
VOICE_FILE=$(scripts/clonev.sh "TEXT_HERE" "/path/to/sample.wav" LANGUAGE)
Step 3: Use the output
The variable $VOICE_FILE now contains the path to the generated OGG file.
Complete Working Examples
Example 1: Clone voice and send to Telegram
# Generate cloned voice
VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Hello, this is my cloned voice!" "/mnt/c/TEMP/Recording 25.wav" en)
# Send to Telegram (as voice message)
message action=send channel=telegram asVoice=true filePath="$VOICE"
Example 2: Clone voice in Czech
# Generate Czech voice
VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Ahoj, tohle je můj hlas" "/mnt/c/TEMP/Recording 25.wav" cs)
# Send
message action=send channel=telegram asVoice=true filePath="$VOICE"
Example 3: Full workflow with check
#!/bin/bash
# Generate voice
VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Task completed!" "/path/to/sample.wav" en)
# Verify file was created
if [ -f "$VOICE" ]; then
echo "Success! Voice file: $VOICE"
ls -lh "$VOICE"
else
echo "Error: Voice file not created"
fi
Common Language Codes
| Code | Language | Example Usage |
|---|---|---|
en |
English | scripts/clonev.sh "Hello" sample.wav en |
cs |
Czech | scripts/clonev.sh "Ahoj" sample.wav cs |
de |
German | scripts/clonev.sh "Hallo" sample.wav de |
fr |
French | scripts/clonev.sh "Bonjour" sample.wav fr |
es |
Spanish | scripts/clonev.sh "Hola" sample.wav es |
Full list: en, cs, de, fr, es, it, pl, pt, tr, ru, nl, ar, zh, ja, hu, ko
Voice Sample Requirements
Format: WAV file
Length: 6-30 seconds (optimal: 10-15 seconds)
Quality: Clear audio, no background noise
Content: Any speech (the actual words don't matter)
Good samples:
✅ Recording of someone speaking clearly
✅ No music or noise in background
✅ Consistent volume
Bad samples:
❌ Music or songs
❌ Heavy background noise
❌ Very short (< 6 seconds)
❌ Very long (> 30 seconds)
⚠️ Important Notes
Model Download
First use downloads ~1.87GB model (one-time)
Model is stored at:
/mnt/c/TEMP/Docker-containers/coqui-tts/models-xtts/Status: ✅ Already downloaded
Processing Time
Takes 20-40 seconds depending on text length
This is normal - voice cloning is computationally intensive
Troubleshooting
"Command not found"
Make sure you're in the skill directory or use full path:
/home/bernie/clawd/skills/clonev/scripts/clonev.sh "text" sample.wav en
"Voice sample not found"
Check the path to the WAV file
Use absolute paths (starting with
/)Ensure file exists:
ls -la /path/to/sample.wav
"Model not found"
The model should auto-download. If not:
cd /mnt/c/TEMP/Docker-containers/coqui-tts
docker run --rm --entrypoint "" \
-v $(pwd)/models-xtts:/root/.local/share/tts \
ghcr.io/coqui-ai/tts:latest \
python3 -c "from TTS.api import TTS; TTS('tts_models/multilingual/multi-dataset/xtts_v2')"
Poor voice quality
Use clearer voice sample
Ensure no background noise
Try different sample (some voices clone better)
Quick Reference Card (FOR AI MODELS)
USER: "Clone my voice and say 'hello'"
→ Get: sample path, text="hello", language="en"
→ Run: VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "hello" "/path/to/sample.wav" en)
→ Result: $VOICE contains path to OGG file
→ Send: message action=send channel=telegram asVoice=true filePath="$VOICE"
USER: "Make me speak Czech"
→ Get: sample path, text="Ahoj", language="cs"
→ Run: VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Ahoj" "/path/to/sample.wav" cs)
→ Send: message action=send channel=telegram asVoice=true filePath="$VOICE"
Output Location
Generated files are saved to:
/mnt/c/TEMP/Docker-containers/coqui-tts/output/clonev_output.ogg
The script returns this path, so you can use it directly.
Summary
ONLY use the script:
scripts/clonev.shNEVER try to use Docker containers directly
NEVER try to interact with the
coqui-xttscontainerScript handles everything automatically
Returns path to OGG file ready to send
Simple. Just use the script.
Clone any voice. Speak any language. Just use the script.