Exploring techniques, unvalidated hypotheses, and failure lessons worth sharing
Lab Principles: Transparent process documentation, open data sharing, unafraid to show failures. Real innovation comes from 3 breakthroughs in 100 attempts.
Adjust RotatingRings parameters in real-time, explore infinite possibilities of 3D effects. Tune size, depth, color, speed, and export your custom config.
Exploring optimal combination strategies for Canny, Depth, Pose ControlNets, aiming to reduce inference time by 30% while maintaining accuracy.
Building 500+ scene natural language prompt template library. Goodbye SDXL-era "magic spells", hello efficiency.
Validating "precision > scale" hypothesis: Can 300 precision-labeled images beat 10,000 random ones?
Testing 50+ commonly used ComfyUI nodes for performance. Building benchmark database for workflow optimization.
Research technical approaches to identify AI-generated images. Distinguish features from SDXL, Flux, Midjourney, etc.
Experimental data, training logs, failure lessons - I'll share them openly when appropriate.
If you're doing similar research, let's collaborate.