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Install chatterbox-tts from git (loosened torch pin) for Blackwell ZeroGPU; python 3.12
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---
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](https://github.com/resemble-ai/chatterbox-flash),
Resemble AI's prior-calibrated **block-diffusion** zero-shot TTS — the same quality as
[Chatterbox](https://github.com/resemble-ai/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.