Spaces:

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Duplicated from  TTS-AGI/TTS-Arena-V2

Pendrokar

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TTS-Spaces-Arena

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Hi @Pendrokar ! 👋

We'd like to request the addition of Lightning v3.1 to the TTS Spaces Arena.

HuggingFace Space

Space URL: https://huggingface.co/spaces/smallestai/smallest-ai-tts-lightningv3.1-demo

Model Overview

Lightning v3.1 is a high-fidelity text-to-speech model delivering natural, expressive speech at 44 kHz native sample rate.

Gradio API

The Space has Gradio API enabled and can be called via gradio_client:

from gradio_client import Client

client = Client("smallestai/smallest-ai-tts-lightningv3.1-demo")
result = client.predict(
    "Hello, this is Lightning v3.1 from Smallest AI.",  # text
    "Sophia (Female, American)",  # voice (dropdown value)
    "English",  # language (dropdown value)
    1.0,  # speed
    api_name="/synthesize_speech"
)
# result = audio file path

API Endpoint Details

Suggested config for AVAILABLE_MODELS:

'smallestai/smallest-ai-tts-lightningv3.1-demo': '/synthesize_speech#0'

Links

• Space: https://huggingface.co/spaces/smallestai/smallest-ai-tts-lightningv3.1-demo
• Documentation: https://waves-docs.smallest.ai
• Website: https://smallest.ai

Contact

• HuggingFace: @stalwartcoder
• Email: abhishek [at] smallest [dot] ai

Let me know if you need any changes to the Space configuration or have questions about the API!

Thanks!