Structured decisions over Russian text in one encoder pass: choice, scale, yes/no, ranking
—
Low-latency, audio-native turn detection model using Whisper Tiny with a dual-scale attention classification head. Optimized for Hindi, Hinglish and Indian English, including fillers, incomplete thoughts and natural pauses. Includes causal training, hard-negative mining, calibrated endpointing.
Seamless tiled refinement and upscaling for ComfyUI. The VL nodes step all tiles on one shared latent, conditioned by vision tokens and per-tile captions instead of a prompt, so objects never repeat across tiles. Refine whole images or just a masked region. Any GUIDER model on the base node; Krea 2 on the VL nodes. Tested at 8K+.
Quiet, risk-scaled engineering methods for Codex. Method as exponent, not machinery.
H3-aware latent upscaling for ComfyUI with automatic 32-pixel alignment.
One RGB camera, 8.2 mm from motion capture - and no idea how big the room is. Reproducible monocular SfM on TUM fr3, plus the tool that shows what scale alignment is hiding.
Started as a €70 used mini PC running an always-on AI agent (Hermes, n8n, Pi-hole, monitoring, Tailscale, encrypted backups). Now with a second stack next to it: a homelabbed GPU server for local AI (Qwen 27B and Flash-Next, image generation, Ollama, one API). All as code.