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> MIT license > Before using these models, you agree to [...] No, this is not MIT. If you don't like MIT license then feel free to use something else, but you can't pretend this is open source and then attempt to slap on additional restrictions on how the code can be used.
We're now at "free, local, AI friend that you can have conversations with on consumer hardware" territory. - synthesize an avatar using stablediffusion - synthesize conversation with llama - synthesize the voice with this text thing soon - VR - Video wild times!
I'm excited to use this for all my ePub files, many of which don't have corresponding audiobooks, such as a lot of Japanese light novels. I am currently using Moon+ Reader on Android which has TTS but it is very robotic.
Also I did a little speed/quality shootoff with the LJSpeech model (vs VITS and XTTS). StyleTTS2 was pretty good and very fast: https://fediverse.randomfoo.net/notice/AaOgprU715gcT5GrZ2
Excited to try it out!
We're now at "free, local, AI friend that you can have conversations with on consumer hardware" territory. - synthesize an avatar using stablediffusion - synthesize conversation with llama - synthesize the voice with this text thing soon - VR - Video wild times!
Which consumer gpu runs llama 70B?
We're now at "free, local, AI friend that you can have conversations with on consumer hardware" territory. - synthesize an avatar using stablediffusion - synthesize conversation with llama - synthesize the voice with this text thing soon - VR - Video wild times!
Which consumer gpu runs llama 70B?
Yi 34B is a much better fit. I can cram 75K context onto 24GB without brutalizing the model with <3bpw quantization, like you have to do with 70B for 4K context.
Why name it Style if it isn't a StyleGAN? Looks like the first one wasn't either. Interesting to see moves away from flows, especially when none of the flows were modern. Also, is no one clicking on the audio links? There are some... questionable ones... and I'm pretty sure lots of mistakes.
The first one says it uses AdaIN layers to help control style? https://arxiv.org/pdf/2205.15439.pdf#page=2 Seems as justifiable as the original StyleGAN calling itself StyleX...
Why name it Style if it isn't a StyleGAN? Looks like the first one wasn't either. Interesting to see moves away from flows, especially when none of the flows were modern. Also, is no one clicking on the audio links? There are some... questionable ones... and I'm pretty sure lots of mistakes.
(Actually, looked at the original StyleTTS paper and it actually even partially uses AdaIN in the decoder, which is the same way that StyleGAN injected style information? Still, I think is besides the point for the naming.)
I tested StyleTTS2 last month, my step-by-step notes that might be useful for people doing local setup (not too hard): https://llm-tracker.info/books/howto-guides/page/styletts-2 Also I did a little speed/quality shootoff with the LJSpeech model (vs VITS and XTTS). StyleTTS2 was pretty good and very fast: https://fediverse.randomfoo.net/notice/AaOgprU715gcT5GrZ2
That's incredible!
Are infill and outpainting equivalents possible? Super-RT TTS at this level of quality opens up a diverse array of uses esp for indie/experimental gamedev that I'm excited for.