Lotus-2 Geometry FP16: Depth + Normal (float16 + median degrid)
FP16 variant of Lotus-2 Geometry. Runs the FLUX transformer in
float16 (instead of bfloat16): the finer mantissa (10 bits vs 7 bits)
eliminates the ~1160-distinct-value depth staircase observed with bfloat16.
A task-specific per-channel float median filter
(scipy.ndimage.median_filter, ksize=15 for depth / ksize=11 for normal)
is applied to the raw prediction to remove the FLUX-VAE 16-px patch grid.
Predicts BOTH a depth map and a normal map from a single image in one GPU call
(two independent task adapters on a shared FLUX backbone — the normal map is NOT derived from depth).
Returns 8-bit previews plus downloadable raw float32 .npy and 16-bit PNG for each.
512 2048
Examples
| Image | Process resolution (detail cap). Output detail = min(input long side, this). Higher = finer but much more VRAM/time; >1536 may OOM on this GPU. Feed an input at least this large (upscale first) to benefit. |
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