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Extend H3 spatial fallback ladder

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chris.dumas
2026-09-04 09:22:35 +00:00
parent 5b52793fad
commit fbfbe4ef5a
2 changed files with 19 additions and 3 deletions
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dumas_h3_latent_upscale.py
+3 -3
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@@ -506,8 +506,8 @@ def _shrink_model_tile_param(param):
next_param = dict(param)
mode = str(next_param.get("tile_size_mode") or "specific_size")
if mode == "rows_cols":
rows = min(16, max(1, int(next_param.get("grid_rows", 2) or 2) * 2))
cols = min(16, max(1, int(next_param.get("grid_cols", 2) or 2) * 2))
rows = min(32, max(1, int(next_param.get("grid_rows", 2) or 2) * 2))
cols = min(32, max(1, int(next_param.get("grid_cols", 2) or 2) * 2))
if rows == int(next_param.get("grid_rows", 2) or 2) and cols == int(next_param.get("grid_cols", 2) or 2):
return None
next_param["grid_rows"] = rows
@@ -527,7 +527,7 @@ def _shrink_model_tile_param(param):
# Jump straight from a coarse specific-size tile to a conservative 4x4
# equal-grid split. That usually cuts peak VRAM much harder than halving
# the tile size through several retries, and it keeps the later retry
# ladder simple: 4x4 -> 8x8 -> 16x16.
# ladder simple: 4x4 -> 8x8 -> 16x16 -> 32x32.
next_param["tile_size_mode"] = "rows_cols"
next_param["grid_rows"] = 4
next_param["grid_cols"] = 4