xinyun/ComfyUI-KJNodes
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Revert this for now as old workflows get validation issues...

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kijai 2025-10-07 10:55:43 +03:00
parent 9954d6b599
commit 3fcd22f2fe
1 changed files with 2 additions and 2 deletions
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nodes/image_nodes.py
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@ -2476,7 +2476,7 @@ class ImageResizeKJv2:
"optional" : { "optional" : {
"mask": ("MASK",), "mask": ("MASK",),
"device": (["cpu", "gpu"],), "device": (["cpu", "gpu"],),
"per_batch": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1, "tooltip": "Process images in sub-batches to reduce memory usage. 0 disables sub-batching."}), #"per_batch": ("INT", { "default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1, "tooltip": "Process images in sub-batches to reduce memory usage. 0 disables sub-batching."}),
}, },
"hidden": { "hidden": {
"unique_id": "UNIQUE_ID", "unique_id": "UNIQUE_ID",
@ -2495,7 +2495,7 @@ Keep proportions keeps the aspect ratio of the image, by
highest dimension. highest dimension.
""" """
def resize(self, image, width, height, keep_proportion, upscale_method, divisible_by, pad_color, crop_position, unique_id, device="cpu", mask=None, per_batch=0): def resize(self, image, width, height, keep_proportion, upscale_method, divisible_by, pad_color, crop_position, unique_id, device="cpu", mask=None, per_batch=64):
B, H, W, C = image.shape B, H, W, C = image.shape
if device == "gpu": if device == "gpu":