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Tune splat bucket for faster rendering

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kijai 2026-05-31 15:18:53 +03:00
parent 87f5b6a692
commit cd47b31639
1 changed files with 3 additions and 3 deletions
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6
comfy_extras/nodes_gaussian_splat.py
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@ -738,9 +738,9 @@ def _render_gaussian(xyz, rgb, opacity, scale, rot, width, height, splat_scale,
radius = 3.0 * max_eig.clamp_min(1e-8).sqrt() radius = 3.0 * max_eig.clamp_min(1e-8).sqrt()
K = int(min(max(24, min(width, height) // 16), max(2, math.ceil(_quantile(radius, 0.995).item())))) K = int(min(max(24, min(width, height) // 16), max(2, math.ceil(_quantile(radius, 0.995).item()))))
# Per-splat kernel size: bucket splats by radius into a ladder of kernel sizes (the global K stays the cap) and use # Per-splat kernel size: bucket splats by radius into a coarse ladder of window sizes (global K stays the cap) so
# a tiny window instead of the worst-case one # small splats (the bulk of it) use a small window.
levels = [L for L in (4, 8, 16, 32, 64, 128, 256) if L < K] + [K] levels = [L for L in (16, 64, 256) if L < K] + [K]
levels_t = torch.tensor(levels, device=dev, dtype=torch.float32) levels_t = torch.tensor(levels, device=dev, dtype=torch.float32)
grids = [] grids = []
for L in levels: for L in levels: