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Running
on
Zero
Upload app.py
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app.py
CHANGED
@@ -448,7 +448,9 @@ Kokoro is a frontier TTS model for its size. It has 80 million parameters,<sup>[
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The weights are currently private, but a free public demo is hosted at https://hf.co/spaces/hexgrad/Kokoro-TTS
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### Compute
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The model was trained on 1x A100-class 80GB instances rented from [Vast.ai](https://cloud.vast.ai/?ref_id=79907).<sup>[3]</sup
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### Updates
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This Space and the underlying Kokoro model are both under development and subject to change.<br/>
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@@ -461,8 +463,6 @@ espeak-ng dependency: GPL-3.0<sup>[4]</sup><br/>
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Random English texts: Unknown<sup>[5]</sup><br/>
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Random Japanese texts: CC0 public domain<sup>[6]</sup>
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Kokoro model weights: N/A
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### References
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1. Kokoro parameter count | https://hf.co/spaces/hexgrad/Kokoro-TTS/blob/main/app.py#L37
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2. StyleTTS 2 | https://github.com/yl4579/StyleTTS2
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The weights are currently private, but a free public demo is hosted at https://hf.co/spaces/hexgrad/Kokoro-TTS
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### Compute
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The model was trained on 1x A100-class 80GB instances rented from [Vast.ai](https://cloud.vast.ai/?ref_id=79907).<sup>[3]</sup><br/>
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Vast was chosen over other compute providers due to its competitive on-demand hourly rates.<br/>
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The average hourly cost for the 1x A100-class 80GB VRAM instances used for training was below $1/hr — around half the quoted rates from other providers.
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### Updates
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This Space and the underlying Kokoro model are both under development and subject to change.<br/>
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Random English texts: Unknown<sup>[5]</sup><br/>
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Random Japanese texts: CC0 public domain<sup>[6]</sup>
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### References
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1. Kokoro parameter count | https://hf.co/spaces/hexgrad/Kokoro-TTS/blob/main/app.py#L37
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2. StyleTTS 2 | https://github.com/yl4579/StyleTTS2
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