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vTuber Kit

An All-In-One Free vTubing Solution! · By Kyuppin

SOME IDEAS FOR VTUBER KIT!

A topic by ElectricZin created Aug 19, 2024 Views: 150 Replies: 1
Viewing posts 1 to 2
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I'm really enjoying using vTuber Kit and I believe it has great potential, so here are some ideas that would help me and I believe it would help other people too:

  • A way to lock the custom objects, sometimes I use a lot of them and it's impossible to click on what I want to change, so a way to lock them would help a lot.
  •  an option to disable some save slots and cameras that I'm not using, since it's not possible to remove the hotkeys, as well as an option to add hot key combinations (like Shift+F1 or Ctrl+F2 etc).
  • A simple option that could help in some cases would be a way to turn on/off the bounce effect when changing save slots and the transition effect when changing cameras (not a priority).
  • A funny idea would be a way for the throw items to stick to the vtuber, and clear it with clear items like the drop object.
  • Last but not least, If possible, a way for FaceTracker to detect expressions, I don't know if it would be possible in vtuber kit but it would be really good to have something that detects if I'm angry, sad, laughing, or scared, so it would change the vtuber's expression and make it more dynamic.

I think that in its current state with these functions, vTuber Kit can already be considered a great vtuber application, both for beginners and advanced players, I really like the aesthetics and the simplicity of using it, good job :)

Developer

I'll add locking custom objects to my to-do list.

For disabling hotkeys, a workaround could be to set them to a key you wouldnt use like F12. I'm not sure if I'll add something like this, but will add it to the list.

More control over cam transitions and model squish is a good idea.

Ooooh That could be interesting. I'll add sticking objects to the list

Open SeeFace actually does have expression detection built in. It'd just be a huge undertaking to implement and the expression detection requires training on the user's end by making and holding faces for a long time and tbh I've found it to not be very accurate in my own testing.


Thanks for the feedback!