70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
from .imagefunc import *
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NODE_NAME = 'GradientImage V2'
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any = AnyType("*")
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class GradientImageV2:
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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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size_list = ['custom']
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size_list.extend(load_custom_size())
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return {
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"required": {
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"size": (size_list,),
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"custom_width": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
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"custom_height": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
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"angle": ("INT", {"default": 0, "min": -360, "max": 360, "step": 1}),
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"start_color": ("STRING", {"default": "#FFFFFF"},),
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"end_color": ("STRING", {"default": "#000000"},),
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},
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"optional": {
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"size_as": (any, {}),
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}
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}
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RETURN_TYPES = ("IMAGE", )
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RETURN_NAMES = ("image", )
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FUNCTION = 'gradient_image_v2'
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CATEGORY = '😺dzNodes/LayerUtility'
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def gradient_image_v2(self, size, custom_width, custom_height, angle, start_color, end_color, size_as=None):
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if size_as is not None:
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if size_as.shape[0] > 0:
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_asimage = tensor2pil(size_as[0])
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else:
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_asimage = tensor2pil(size_as)
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width, height = _asimage.size
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else:
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if size == 'custom':
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width = custom_width
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height = custom_height
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else:
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try:
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_s = size.split('x')
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width = int(_s[0].strip())
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height = int(_s[1].strip())
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except Exception as e:
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log(f"Warning: {NODE_NAME} invalid size, check {custom_size_file}", message_type='warning')
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width = custom_width
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height = custom_height
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ret_image = gradient(start_color, end_color, width, height, angle)
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return (pil2tensor(ret_image), )
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NODE_CLASS_MAPPINGS = {
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"LayerUtility: GradientImage V2": GradientImageV2
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerUtility: GradientImage V2": "LayerUtility: GradientImage V2"
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} |