81 lines
3.1 KiB
Python
81 lines
3.1 KiB
Python
from .imagefunc import *
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class ImageScaleRestore:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(self):
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method_mode = ['lanczos', 'bicubic', 'hamming', 'bilinear', 'box', 'nearest']
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return {
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"required": {
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"image": ("IMAGE", ), #
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"scale": ("FLOAT", {"default": 1, "min": 0.01, "max": 100, "step": 0.01}),
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"method": (method_mode,),
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"scale_by_longest_side": ("BOOLEAN", {"default": False}), # 是否按长边缩放
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"longest_side": ("INT", {"default": 1024, "min": 4, "max": 999999, "step": 1}),
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},
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"optional": {
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"mask": ("MASK",), #
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"original_size": ("BOX",),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK", "BOX",)
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RETURN_NAMES = ("image", "mask", "original_size")
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FUNCTION = 'image_scale_restore'
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CATEGORY = '😺dzNodes/LayerUtility'
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OUTPUT_NODE = True
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def image_scale_restore(self, image, scale, method,
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scale_by_longest_side, longest_side,
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mask = None, original_size = None
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):
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_canvas = tensor2pil(image).convert('RGB')
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orig_width = _canvas.width
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orig_height = _canvas.height
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if original_size is not None:
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target_width = original_size[0]
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target_height = original_size[1]
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else:
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target_width = int(orig_width * scale)
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target_height = int(orig_height * scale)
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if scale_by_longest_side:
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if orig_width > orig_height:
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target_width = longest_side
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target_height = int(target_width * orig_height / orig_width)
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else:
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target_height = longest_side
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target_width = int(target_height * orig_width / orig_height)
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if target_width < 4:
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target_width = 4
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if target_height < 4:
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target_height = 4
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resize_sampler = Image.LANCZOS
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if method == "bicubic":
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resize_sampler = Image.BICUBIC
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elif method == "hamming":
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resize_sampler = Image.HAMMING
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elif method == "bilinear":
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resize_sampler = Image.BILINEAR
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elif method == "box":
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resize_sampler = Image.BOX
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elif method == "nearest":
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resize_sampler = Image.NEAREST
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ret_image = _canvas.resize((target_width, target_height), resize_sampler)
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ret_mask = Image.new('L', size=ret_image.size, color='white')
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if mask is not None:
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_mask = mask2image(mask).convert('L')
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ret_mask = _mask.resize((target_width, target_height), resize_sampler)
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return (pil2tensor(ret_image), image2mask(ret_mask), [orig_width, orig_height],)
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NODE_CLASS_MAPPINGS = {
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"LayerUtility: ImageScaleRestore": ImageScaleRestore
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerUtility: ImageScaleRestore": "LayerUtility: ImageScaleRestore"
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} |