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  • Hi Guest!

    We have posted a new VaM2 dev log on Patreon, starting a monthly cadence of written progress updates between Beta releases. Highlights include the new Gizmos System, Selection Carousel, and Modes System with Context-Specific Editing. Beta1.2 is 15 of 21 items complete.

    Read the full post on Patreon, or follow progress on the public Trello roadmap.

Recent content by grimes_AIVRLab

  1. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    Thank you for your review. The .pth model file is included in the .zip file, so we don't need to download it separately. However, for greater transparency, the .pth file has been uploaded separately. (I added an explanation of .pth files to the GitHub release page.)
  2. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    Thank you for your kind words. I'm also interested in a male version at scale 1.0. I can't promise to release it, but I'll give it a try.
  3. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    Try moving the unzipped folder to the root of your drive, like c:\VaM_Skeleton_Engine_v1.0, and then launch the program.
  4. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    First, in VaM, under User Preferences > Security, please check that "Allow Plugins Network Access" is checked. Second try changing the port: 1. Edit target_ip.csv in the engine folder and change it to: 127.0.0.1:8742 2. Change 9998 to 8742 in the Plugin settings.
  5. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    This engine is a standalone version and does not have any integration features. Due to the unexpectedly high number of downloads, i may release a version with integration capabilities.
  6. grimes_AIVRLab

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver)

    grimes_AIVRLab submitted a new resource: AI-Driven Skeleton Engine (BoneReceiver) - CVAE Machine Learning engine to drive VaM skeleton animations in real-time. Read more about this resource...
  7. AI-Driven Skeleton Engine (BoneReceiver)

    Plugins + Scripts AI-Driven Skeleton Engine (BoneReceiver) 1.0.0
    Hub-Hosted VAR CC BY-NC-ND

    This is an experimental project to drive Virt-A-Mate (VaM) skeleton animations using a Python-based CVAE Machine Learning engine. [ Quick Start Guide ] 1. Download the ML Skeleton Engine (Python) [ https://github.com/yuyaslabo/VaM_ML_Skeleton_Engine ] (Open "Releases") 2. Unzip the file and...
  8. grimes_AIVRLab

    VaM 1.x [POC] Latent Motion Synthesis: Real-time AI Skeleton Driving (VAE + Voxta)

    Next Showcase
  9. grimes_AIVRLab

    VaM 1.x [POC] Latent Motion Synthesis: Real-time AI Skeleton Driving (VAE + Voxta)

    Hello Creators, I’m excited to share a project I’ve been working on: a real-time skeleton-driving framework for VaM using a Variational Autoencoder (VAE). Unlike traditional timeline animations or recorded loops, this system generates per-bone pose data in real-time based on the emotional...
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