Fix case where upscale model wouldn't be moved to cpu. (#11633)

This commit is contained in:
comfyanonymous
2026-01-04 16:13:50 -08:00
committed by GitHub
parent acbf08cd60
commit 38d0493825

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@ -78,18 +78,20 @@ class ImageUpscaleWithModel(io.ComfyNode):
overlap = 32
oom = True
while oom:
try:
steps = in_img.shape[0] * comfy.utils.get_tiled_scale_steps(in_img.shape[3], in_img.shape[2], tile_x=tile, tile_y=tile, overlap=overlap)
pbar = comfy.utils.ProgressBar(steps)
s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
oom = False
except model_management.OOM_EXCEPTION as e:
tile //= 2
if tile < 128:
raise e
try:
while oom:
try:
steps = in_img.shape[0] * comfy.utils.get_tiled_scale_steps(in_img.shape[3], in_img.shape[2], tile_x=tile, tile_y=tile, overlap=overlap)
pbar = comfy.utils.ProgressBar(steps)
s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
oom = False
except model_management.OOM_EXCEPTION as e:
tile //= 2
if tile < 128:
raise e
finally:
upscale_model.to("cpu")
upscale_model.to("cpu")
s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
return io.NodeOutput(s)