228 lines
6.5 KiB
JSON
228 lines
6.5 KiB
JSON
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"# ComfyUI-VoxCPM\n\n**VoxCPM** a novel tokenizer-free TTS system for context-aware speech generation and true-to-life voice cloning.\n\n## Models\nThis node automatically downloads the required model files.\n\n| Model | Hugging Face Link |\n|:---|:---|\n| **VoxCPM1.5** | [openbmb/VoxCPM1.5](https://huggingface.co/openbmb/VoxCPM1.5) |\n| VoxCPM-0.5B | [openbmb/VoxCPM-0.5B](https://huggingface.co/openbmb/VoxCPM-0.5B) |\n\n\n## Support \n\n- Don't know how to update PyTorch?\n- Need help with ComfyUI?\n- Need technical support?\n\n### Or do you just have questions? Then join the [@TokenDiffusion Hub](https://t.me/TokenDiff_hub) group\n\n### AI news [TokenDiffusion](https://t.me/TokenDiff)"
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"## 🎤 Achieving High-Quality Voice Clones\n\nTo achieve the best voice cloning results, providing an accurate `prompt_text` is **critical**. This text acts as a transcript that aligns the sound of the `prompt_audio` with the words being spoken, teaching the model the speaker's unique vocal characteristics.\n\n### How to Use `prompt_text` Effectively\n\n#### 1. **Provide a Verbatim Transcript**\nThe `prompt_text` must be a word-for-word transcript of the `prompt_audio`. Do not summarize or describe the audio.\n\n✅ **Correct:** `The quick brown fox jumps over the lazy dog.`\n\n❌ **Incorrect:** `A person saying a sentence about a fox.`\n\n#### 2. **Punctuation is Important**\nUse accurate punctuation to capture the speaker's intonation. The model learns how the speaker ends sentences, asks questions, or shows excitement.\n\n- **For a statement:** `This is a great example.`\n- **For a question:** `Is this a great example?`\n- **For excitement:** `This is a great example!`\n\n#### 3. **Match Audio and Text Length**\nThe audio clip should be long enough to capture the speaker's natural pacing and rhythm.\n\n👍 **Good:** A 5-15 second clip of continuous, clear speech.\n\n👌 **Okay:** A 3-5 second clip.\n\n⚠️ **Warning:** Very short clips (< 3 seconds) may result in a less stable or robotic-sounding clone.\n\n\n> **Note:**\n> For the best results, use a clean, high-quality `prompt_audio` with minimal background noise, reverb, or music. The model will try to clone the *entire* acoustic environment, not just the voice."
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