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Install chatterbox-tts from git (loosened torch pin) for Blackwell ZeroGPU; python 3.12
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A newer version of the Gradio SDK is available: 6.20.0

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metadata
title: Chatterbox-Flash
emoji: 
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.8.0
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
short_description: Prior-calibrated block-diffusion zero-shot TTS (~2× faster)

⚡ Chatterbox-Flash — Zero-shot TTS

Gradio demo for Chatterbox-Flash, Resemble AI's prior-calibrated block-diffusion zero-shot TTS — the same quality as Chatterbox decoded in parallel (~2× faster than a vLLM-optimized Chatterbox on an H100).

Upload a 5–10 s voice reference, type your text, and generate. Long text is split at sentence boundaries and stitched with a short crossfade (the block-diffusion decoder can hallucinate on very long single inputs).

Hardware

Designed for ZeroGPU (the spaces package warm-loads the model at import and maps it onto a GPU per request). Select ZeroGPU (or any CUDA GPU) in the Space's Settings → Hardware. The app also runs on a standard GPU Space unchanged.

Notes

  • sdk_version matches what HF set when the Space was created (Gradio 6.x). If the build complains, bump it to a currently-available version.
  • requirements.txt installs chatterbox-flash from PyPI — if it isn't published yet, switch that line to the git+https://github.com/resemble-ai/chatterbox-flash.git form.