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Merge 5cd75306378ab6e8d1760a017bd1ca369d950324 into fd271dedfde6e192a1f1a025521070876e89e04a

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yash-711 2025-12-08 15:20:53 +05:30 committed by GitHub
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comfy_extras/nodes_upscale_model.py
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@ -82,14 +82,15 @@ class ImageUpscaleWithModel(io.ComfyNode):
try: 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) 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) 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) # 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 oom = False
except model_management.OOM_EXCEPTION as e: except model_management.OOM_EXCEPTION as e:
tile //= 2 tile //= 2
if tile < 128: if tile < 128:
raise e raise e
upscale_model.to("cpu") # 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) s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
return io.NodeOutput(s) return io.NodeOutput(s)