Fish Speech v1.4 by
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- Опубликовано: 30 сен 2024
- NOTE: This is just an update to my previous video on setting up Fish Speech v1.2 on Macbook M1 Pro
I'll be setting up Fish Speech version 1.4 by @FishAudio This is a great TTS model trained on 700k hours of audio data in multiple languages (English, Japanese, German, French, Spanish, Korean, Arabic, and Chinese audio data), it also performs wonderfully at voice cloning and TTS generation. The only downside is: it is CPU intensive and I recommend you get a beefy GPU if you intend to use it as part of your AI system's TTS engine. In this video I set it up on my MacBook M1 Pro and inference took a while, which I had to speed up so as to not waste your time.
🔗 LINKS
Code Repo: github.com/bra...
Fish Speech Hugging Face Repo: huggingface.co...
Fish Audio Hugging Face page: huggingface.co...
Fish Speech V1.2: • High Quality Voice Clo...
Openvoice v2 & Melo TTS Setup: • Setting up Openvoice v...
Piper TTS Setup: • Installing Piper Text ...
Bark TTS Setup: • Setting up a Realistic...
🔗 MY LINKS
Twitter: x.com/alhajibrain
Instagram: / _alhajibrain
Github: github.com/bra...
#ai #aivoice #aivoices #texttospeech #tts #bark #suno #sunoai
hello pro big big fan pro
finally its run perfectly with me
😍
thank you for this Awesome tutorial
just one more question
i have GPU 4090 on my laptop
what i need to run this on GPU
i try to change this code
device="cpu" to device="cuda"
i have 2GPU's
intel Build in and Nvedia GFORCE RTX 4090
thank you in advance pro
😀
I use a macbook that's why I switched from cuda to cpu. You can reach out to Nvidia support if you're having trouble with their hardware, but make sure you've installed the necessary drivers for that graphics card so you can use cuda, before reaching out to them.
@@techgiantt i have Cuda setup
and it work fine with many other projects
but what change that need to do ro run in GPU
What are the required machine configs for this? I'm running out of memory on T4 Tesla 16 gigs on cuda and my ram 28 gigs on cpu
I ran it on my Macbook M1 pro but it also supports cuda if your gpu supports that, in the video I switched to cpu to run it on my mac
Does it have a docker setup?
not sure