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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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        "# 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 | Parameters | Sampling Rate | Languages | Description | Hugging Face Link |\n|:---|:---:|:---:|:---:|:---|:---|\n| **VoxCPM2** | 2B | 48kHz | 30+ | **New!** Voice design, reference cloning, multilingual | [openbmb/VoxCPM2](https://huggingface.co/openbmb/VoxCPM2) |\n| **VoxCPM1.5** | 800M | 44.1kHz | 2 | Recommended for v1. LoRA support, improved fidelity | [openbmb/VoxCPM1.5](https://huggingface.co/openbmb/VoxCPM1.5) |\n| VoxCPM-0.5B | 640M | 16kHz | 2 | Original version | [openbmb/VoxCPM-0.5B](https://huggingface.co/openbmb/VoxCPM-0.5B) |\n\n\n---\n\n### Check TG for more interesting stuff: [TokenDiffusion](https://t.me/TokenDiff)"
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