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AI Face VTuber – turn one photo into a real-time avatar (free trial)

A topic by Usagi Lab created 13 days ago Views: 70 Replies: 2
Viewing posts 1 to 2

Hi everyone! I just released AI Face VTuber, a Windows tool that turns a

single photo into a real-time, photorealistic 2D avatar driven by your

webcam — no 3D rigging, no Live2D model, no face-cam required.

Features:

- Real-time webcam expression tracking

- Outputs to a virtual camera, so it works directly in OBS, Zoom, Discord, etc.

- UI available in 7 languages (English, Japanese, Korean, Traditional/Simplified

  Chinese, Spanish, Portuguese)

- Free trial included (3 sample photos, watermarked) so you can try it before buying

[https://youtu.be/xOKdEkUV0KY]

Get it here: https://usagi-lab.itch.io/ai-face-vtuber

Would love to hear any feedback!

I really want to try it but the trial is not working for me. I'm using RTX 5060 Ti 16GB, Windows 11. The trial detects my webcam but Start remains disabled and shows “Startup error.” app.Log.txt repeatedly fails while loading WarpingSpadeModel with predict_type: trt, followed by TensorRTPredictor.__del__: AttributeError: context. The first-run optimization doesn't complete normally.

Thank you so much for the detailed report - the log snippet you included is

genuinely helpful.

Based on what you shared, this looks like a compatibility issue between the

app's TensorRT/CUDA build step and your GPU. The RTX 5060 Ti is a very new

(Blackwell) architecture, and the "AttributeError: context" you're seeing is

actually a side effect, not the real cause - it happens because engine

creation for the WarpingSpade model fails earlier, before that object is

fully initialized.

To confirm and fix this, could you share:

1. Your full app_log.txt (not just the tail - the earlier lines around the

   WarpingSpade build will have the actual error)

2. Your NVIDIA driver version (nvidia-smi or GeForce Experience)

I'm looking into adding proper support for RTX 50-series GPUs and will

follow up here once I have an update. Really sorry for the trouble, and

thanks for your patience!