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Merge a0f6703f05 into a60b7b86c5

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yash-711 2026-01-08 12:19:00 +05:30 committed by GitHub
commit 4c4681f420
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1 changed files with 12 additions and 13 deletions
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25
comfy_extras/nodes_upscale_model.py
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@ -78,20 +78,19 @@ class ImageUpscaleWithModel(io.ComfyNode):
overlap = 32
oom = True
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")
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)
# KEY CHANGE: Pass device as output_device instead of default "cpu"
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, output_device=device, pbar=pbar)
oom = False
except model_management.OOM_EXCEPTION as e:
tile //= 2
if tile < 128:
raise e
# upscale_model.to("cpu") # Commented out to keep model on GPU because when processing batch images then model unnecessarily moves to CPU
s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
return io.NodeOutput(s)