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Qwen3-TTS family is now open sourced: Voice design, clone, and generation

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Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#71
post #69
post #65

Earlier quoted context omitted.

We're going to be okay. There are far more good and interesting use cases for this technology. Games will let users clone their voices and create virtual avatars and heroes. People will have access to creative tools that let them make movies and shows with their likeness. People that couldn't sing will make music. Nothing was more scary than the invention of the nuclear weapon. And we're all still here. Life will go…

> People that couldn't sing will make music. I was with you, until But, yeah. Life will go on.

There are plenty of electronic artists who can't sing. Right now they have to hire someone else to do the singing for them, but I'd wager a lot of them would like to own their music end-to-end. I would.

I'm a filmmaker. I've done it photons-on-glass production for fifteen years. Meisner trained, have performed every role from cast to crew. I'm elated that these tools are going to enable me to do more with a smaller budget. To have more autonomy and creative control.

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#72

Has anyone successfully run this on a Mac? The installation instructions appear to assume an NVIDIA GPU (CUDA, FlashAttention), and I’m not sure whether it works with PyTorch’s Metal/MPS backend.

It seems to depend on FlashAttention, so the short answer is no. Hopefully someone does the work of porting the inference code over!

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#73
post #33

If you want to try out the voice cloning yourself you can do that an this Hugging Face demo: https://huggingface.co/spaces/Qwen/Qwen3-TTS - switch to the "Voice Clone" tab, paste in some example text and use the microphone option to record yourself reading that text - then paste in other text and have it generate a version of that read using your voice. I shared a recording of audio I generated with that here: https:…

Remarkable tech that is now accessible to almost anyone. My cloned voice sounded exactly like me. The uses for this will be from good to bad and everywhere in-between. A deceased grandmother reading "Good Night Moon" to grandkids, scamming people, the ability to create podcasts with your own voices from just prompts.

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#74
post #33

If you want to try out the voice cloning yourself you can do that an this Hugging Face demo: https://huggingface.co/spaces/Qwen/Qwen3-TTS - switch to the "Voice Clone" tab, paste in some example text and use the microphone option to record yourself reading that text - then paste in other text and have it generate a version of that read using your voice. I shared a recording of audio I generated with that here: https:…

The HF demo space was overloaded, but I got the demo working locally easily enough. The voice cloning of the 1.7B model captures the tone of the speaker very well, but I found it failed at reproducing the variation in intonation, so it sounds like a monotonous reading of a boring text.

I presume this is due to using the base model, and not the one tuned for more expressiveness.

edit: Or more likely, the demo not exposing the expressiveness controls.

The 1.7B model was much better at ignoring slight background noise in the reference audio compared to the 0.6B model though. The 0.6B would inject some of that into the generated audio, whereas the 1.7B model would not.

Also, without FlashAttention it was dog slow on my 5090, running at 0.3X realtime with just 30% GPU usage. Though I guess that's to be expected. No significant difference in generation speed between the two models.

Overall though, I'm quite impressed. I haven't checked out all the recent TTS models, but a fair number, and this one is certainly one of the better ones in terms of voice cloning quality I've heard.

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#75
post #33

If you want to try out the voice cloning yourself you can do that an this Hugging Face demo: https://huggingface.co/spaces/Qwen/Qwen3-TTS - switch to the "Voice Clone" tab, paste in some example text and use the microphone option to record yourself reading that text - then paste in other text and have it generate a version of that read using your voice. I shared a recording of audio I generated with that here: https:…

> The requested GPU duration (180s) is larger than the maximum allowed

What am I doing wrong?

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#76

Qwen team, please please please, release something to outperform and surpass the coding abilities of Opus 4.5. Although I like the model, I don't like the leadership of that company and how close it is, how divisive they're in terms of politics.

With a good harness I am getting similar results with GLM 4.7. I am paying for TWO! max accounts and my agents are running 24/7.

I still have a small Claude account to do some code reviews. Opus 4.5 does good reviews but at this point GLM 4.7 usually can do the same code reviews.

If cost is an issue (for me it is, I pay out of pocket) go with GLM 4.7

Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#78
post #75
post #33

If you want to try out the voice cloning yourself you can do that an this Hugging Face demo: https://huggingface.co/spaces/Qwen/Qwen3-TTS - switch to the "Voice Clone" tab, paste in some example text and use the microphone option to record yourself reading that text - then paste in other text and have it generate a version of that read using your voice. I shared a recording of audio I generated with that here: https:…

> The requested GPU duration (180s) is larger than the maximum allowed What am I doing wrong?

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Re: Qwen3-TTS family is now open sourced: Voice design, clone, and generation

#80
post #55

Haha something that I want to try out. I have started using voice input more and more instead of typing and now I am on my second app and second TTS model, namely Handy and Parakeet V3. Parakeet is pretty good, but there are times it struggles. Would be interesting to see how Qwen compares once Handy has it in.

Why parakeet over whisper v3 turbo? Just curious as one who heavily uses whisper, I’ve seemed to have better results with that
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