The LTXV Reference Audio node is used for speaker identity transfer in audio generation. It encodes a reference audio clip into the conditioning for a model, allowing the generated audio to adopt the speaker's voice characteristics. It can also apply identity guidance, which runs an extra processing step to amplify the speaker identity effect.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `model` | The model to be patched with identity guidance. | MODEL | Yes | - |
| `positive` | The positive conditioning input. | CONDITIONING | Yes | - |
| `negative` | The negative conditioning input. | CONDITIONING | Yes | - |
| `reference_audio` | Reference audio clip whose speaker identity to transfer. ~5 seconds recommended (training duration). Shorter or longer clips may degrade voice identity transfer. | AUDIO | Yes | - |
| `audio_vae` | LTXV Audio VAE for encoding the reference audio. | VAE | Yes | - |
| `identity_guidance_scale` | Strength of identity guidance. Runs an extra forward pass without reference each step to amplify speaker identity. Set to 0 to disable (no extra pass). (default: 3.0) | FLOAT | No | 0.0 - 100.0 |
| `start_percent` | Start of the sigma range where identity guidance is active. (default: 0.0) | FLOAT | No | 0.0 - 1.0 |
| `end_percent` | End of the sigma range where identity guidance is active. (default: 1.0) | FLOAT | No | 0.0 - 1.0 |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `model` | The model patched with the identity guidance function. | MODEL |
| `positive` | The positive conditioning, now containing the encoded reference audio data. | CONDITIONING |
| `negative` | The negative conditioning, now containing the encoded reference audio data. | CONDITIONING |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md)

---
**Source fingerprint (SHA-256):** `a25e24a08df73b8a34fd476544634e396a0eec5b6dc630e911c371f1b16931b8`