parler-tts/parler-tts-mini-v1

text-to-speech model by parler-tts

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Parler-TTS Mini v1 is a lightweight text-to-speech (TTS) model, trained on 45K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation). With Parler-TTS Large v1, this is the second set of models published as part of the Parler-TTS project, which aims to provide the community with TTS training resources and dataset pre-processing code. Using Parler-TTS is as simple as "bonjour". Simply install the library once: Parler-TTS has been trained to generate speech with features that can be controlled with a simple text prompt, for example: To ensure speaker consistency across generations, this checkpoint was also trained on 34 speakers, characterized by name (e.g. Jon, Lea, Gary, Jenna, Mike, Laura). To take advantage of this, simply adapt your text description to specify which speaker to use: Jon's voice is…

parler-tts/parler-tts-mini-v1 on Hugging Face A short preview, not the full document.

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  1. Parler-TTS Mini v1
  2. 📖 Quick Index
  3. 🛠️ Usage
  4. 👨‍💻 Installation
  5. 🎲 Random voice
  6. 🎯 Using a specific speaker
  7. Motivation
  8. Citation
  9. License

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Model overview

parler-tts/parler-tts-mini-v1 is a text-to-speech model repository published by parler-tts on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-to-speech
Library
transformers
Recent downloads (30 days)
19,028
Cumulative likes
153
Hugging Face trending score
0
Reported safetensors parameters
877,842,290
Architecture
ParlerTTSForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2024-06-26T09:14:29.000Z
Last modified
2024-11-25T11:26:20.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

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