Spaces:
Running on Zero
Running on Zero
A newer version of the Gradio SDK is available: 6.20.0
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_versionmatches what HF set when the Space was created (Gradio 6.x). If the build complains, bump it to a currently-available version.requirements.txtinstallschatterbox-flashfrom PyPI — if it isn't published yet, switch that line to thegit+https://github.com/resemble-ai/chatterbox-flash.gitform.