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VieNeu-TTS-v3-Nano

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@@ -54,7 +54,7 @@ The reference implementation is the **`vieneu` Python SDK (v3.5.0)** via `Vieneu
 ## 🏗️ Architecture & Credits
-The **VieNeu-TTS v3 Nano architecture:
 - **Model:** a conditional flow-matching (OT-CFM) model that maps text to codec latents in a fixed number of Euler steps, then decodes them to a waveform:
   - **Text encoder** — ConvNeXt blocks + self-attention over the phoneme sequence, conditioned on 50 **style tokens** extracted from the reference voice.

 ## 🏗️ Architecture & Credits
+The **VieNeu-TTS v3 Nano** architecture:
 - **Model:** a conditional flow-matching (OT-CFM) model that maps text to codec latents in a fixed number of Euler steps, then decodes them to a waveform:
   - **Text encoder** — ConvNeXt blocks + self-attention over the phoneme sequence, conditioned on 50 **style tokens** extracted from the reference voice.