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Merge 5cd7530637
into 22ad513c72
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commit
70570e80a0
@ -66,14 +66,15 @@ class ImageUpscaleWithModel:
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try:
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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)
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pbar = comfy.utils.ProgressBar(steps)
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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)
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# KEY CHANGE: Pass device as output_device instead of default "cpu"
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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)
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oom = False
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except model_management.OOM_EXCEPTION as e:
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tile //= 2
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if tile < 128:
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raise e
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upscale_model.to("cpu")
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# upscale_model.to("cpu") # Commented out to keep model on GPU because when processing batch images then model unnecessarily moves to CPU
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s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
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return (s,)
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