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Reduce tiled decode peak memory #13050

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comfyanonymous merged 1 commit into from
Mar 19, 2026
+4 −4
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Reduce tiled decode peak memory #13050

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8 changes: 4 additions & 4 deletions comfy/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1135,8 +1135,8 @@ def mult_list_upscale(a):
pbar.update(1)
continue

out = torch.zeros([s.shape[0], out_channels] + mult_list_upscale(s.shape[2:]), device=output_device)
out_div = torch.zeros([s.shape[0], out_channels] + mult_list_upscale(s.shape[2:]), device=output_device)
out = output[b:b+1].zero_()
out_div = torch.zeros([s.shape[0], 1] + mult_list_upscale(s.shape[2:]), device=output_device)

positions = [range(0, s.shape[d+2] - overlap[d], tile[d] - overlap[d]) if s.shape[d+2] > tile[d] else [0] for d in range(dims)]

Expand All @@ -1151,7 +1151,7 @@ def mult_list_upscale(a):
upscaled.append(round(get_pos(d, pos)))

ps = function(s_in).to(output_device)
mask = torch.ones_like(ps)
mask = torch.ones([1, 1] + list(ps.shape[2:]), device=output_device)

for d in range(2, dims + 2):
feather = round(get_scale(d - 2, overlap[d - 2]))
Expand All @@ -1174,7 +1174,7 @@ def mult_list_upscale(a):
if pbar is not None:
pbar.update(1)

output[b:b+1] = out/out_div
out.div_(out_div)
return output

def tiled_scale(samples, function, tile_x=64, tile_y=64, overlap = 8, upscale_amount = 4, out_channels = 3, output_device="cpu", pbar = None):
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