80 lines
1.7 KiB
Markdown
80 lines
1.7 KiB
Markdown
# Documentation
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- Class name: GradientImage
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- Category: 😺dzNodes/LayerUtility
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- Output node: False
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- Repo Ref: https://github.com/chflame163/ComfyUI_LayerStyle
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生成一张指定大小和指定颜色渐变的图片。
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# Input types
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## Required
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- width
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- 图片的宽度。
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- Comfy dtype: INT
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- Python dtype: int
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- height
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- 图片的高度。
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- Comfy dtype: INT
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- Python dtype: int
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- angle
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- 渐变的角度。
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- Comfy dtype: INT
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- Python dtype: int
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- start_color
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- 渐变的起始颜色。
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- Comfy dtype: STRING
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- Python dtype: str
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- end_color
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- 渐变的结束颜色。
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- Comfy dtype: STRING
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- Python dtype: str
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# Output types
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- image
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- 生成的图像。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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# Usage tips
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- Infra type: CPU
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# Source code
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```
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class GradientImage:
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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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return {
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"required": {
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"width": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
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"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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}
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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'
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CATEGORY = '😺dzNodes/LayerUtility'
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def gradient_image(self, width, height, angle, start_color, end_color, ):
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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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``` |