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blaze-voice-ai/dubbing-tts
dubbing-tts is a text-to-speech model from blaze-voice-ai. Use it when you need text read aloud. The card lists the license as apache-2.0.
The TTS weights the Blaze dubbing service synthesises with. Currently the Khmer OmniVoice fine-tune, checkpoint-4000 of omnivoicefinetunekhmer. This was the only copy that existed outside one machine's disk.
Downloads · 30 days
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How the weights are stored.
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From the Hugging Face model README
The TTS weights the Blaze dubbing service synthesises with. Currently the Khmer OmniVoice
fine-tune, checkpoint-4000 of omnivoice_finetune_khmer. This was the only copy that
existed outside one machine's disk.
The repo is named for the role, not the model, so swapping the engine or adding a language
does not mean re-pointing every build: services/tts/Dockerfile pulls whatever is on the
branch it is told to.
Served over HTTP by services/tts (OmniVoice sidecar), never loaded in-process. Measured
throughput on an L4: 23.6 lines/min on one replica, 28.9 on two replicas on separate
cards. Two replicas sharing a card is worse than one (15.7/min) and then OOMs mid-generation,
because a replica needs ~1.2 GB of transient headroom.
main is what image builds pin. dev is where a new fine-tune lands so it can be A/B'd
against main before promotion:
HF_REVISION=dev docker compose --profile tts build tts