0.45
+0.30 (standard)
3.0
40
How it works
The ONNX graph is the denoiser; the DDIM loop, classifier-free guidance, and the evaluator all run in JavaScript.
Volume-fraction control is calibrated and reliable in roughly 0.37–0.57. Stiffness conditioning separates low vs high by about 2×.
Auxetic targets (ν < 0): routed to a second DDPM — a specialist trained on 2,000 FEM-labeled rotating-squares cells, conditioned on [vf, ν]. It samples a double batch and ranks by the measured ν (the mixed model cannot switch geometry family from a conditioning channel — four retraining attempts confirmed this). In auxetic mode vf control is approximate. Every number shown is homogenized from the generated cell, never assumed.
Press Generate.