qwen3_tts_rs
qwen3_tts_rs is A Rust implementation of the Qwen3 Text-to-Speech (TTS) model inference. - badlogic/qwen3_tts_rs. It is ranked #737 on the Dev Radar, in AI dev tools, first seen 3 days ago and shared in 1 post (13.5k views).
GitHub - badlogic/qwen3_tts_rs: A Rust implementation of the Qwen3 Text-to-Speech (TTS) model inference. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation qwen3_tts_rs Public forked from second-state / qwen3_tts_rs Notifications You must be signed in to change notification settings Fork 2 ( 2 ) Star 9 ( 9…
What people said about qwen3_tts_rs on X
recommended viewing. icmust bully @mitsuhiko into using my gunk https://github.com/badlogic/qwen3_tts_rs https://x.com/i/broadcasts/1RKZzBYlgYgKB
— @badlogicgames, 3 days ago · 121 likes · see the post
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qwen3_tts_rs in numbers
- Rank on the Dev Radar: #737 of 8798
- Shared in 1 post by 1 account: @badlogicgames
- 13.5k views on those posts
- First seen 3 days ago, last shared 3 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI dev tools
FAQ
What is qwen3_tts_rs?
A Rust implementation of the Qwen3 Text-to-Speech (TTS) model inference. - badlogic/qwen3_tts_rs It was first shared on X 3 days ago and is ranked #737 on the Dev Radar.
Is qwen3_tts_rs free?
It is open source.
Who shared qwen3_tts_rs?
1 account on X, including @badlogicgames, in 1 post totalling 13.5k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 20:27 UTC. Full method.