EmotiVoice VS IOPaint

Interested to see how it performs for Mandarin Chinese speech synthesis, especially with prosody and emotion. The highest quality open source model I've seen so far is EmotiVoice[0], which I've made a CLI wrapper around to generate audio for flashcards.[1] For EmotiVoice, you can apparently also clone your own voice with a GPU, but I have not tested this.[2]

[0] https://github.com/netease-youdao/EmotiVoice

[1] https://github.com/siraben/emotivoice-cli

[2] https://github.com/netease-youdao/EmotiVoice/wiki/Voice-Clon...

Interesting. I'll have to check to be sure, but I think maybe something is happening automagically if you have reasonably up to date nvidia drivers on the host OS, because I was able to run the EmotiVoice TTS docker (which requires nvidia gpu) from WSL2.

https://github.com/netease-youdao/EmotiVoice

„Inpaint anything“ and „cleaner“ extension can remove text or anything you mark, if you are on A1111 webui, you can install them from extension tab. Standalone , there is lama cleaner , https://github.com/Sanster/lama-cleaner

This is an app developed from my other open source side project Lama Cleaner.

When you're training, the model learns things you don't prompt for, like the face you want, but it also learns things that don't change much, even if prompted. So if there is a necklace there, it'll learn that something goes in the neck area. You might look into Lama Cleaner to remove the necklaces without messing anything else up.

I prefer Lamar Cleaner: https://github.com/Sanster/lama-cleaner to anything built into A1111.

I use Lama Cleaner for stuff like this. Works great and supports all the SD models + Segment Anything, etc etc etc : https://github.com/Sanster/lama-cleaner