CavinHuang-comfyui-nodes-docs/docs/ImageDrawArc.md

Documentation

• Class name: ImageDrawArc
• Category: image/draw
• Output node: False

ImageDrawArc节点用于在图像上绘制弧线。它利用诸如尺寸、颜色和弧线具体参数等来直接在给定的图像画布上渲染弧线，便于创建图形表示和注释。

Input types

Required

• width
  • 指定将绘制弧线的图像画布的宽度。
  • Comfy dtype: INT
  • Python dtype: int
• height
  • 指定将绘制弧线的图像画布的高度。
  • Comfy dtype: INT
  • Python dtype: int
• size
  • 决定弧线的粗细。
  • Comfy dtype: INT
  • Python dtype: int
• start_x
  • 弧线在图像画布上的起始x坐标。
  • Comfy dtype: FLOAT
  • Python dtype: float
• start_y
  • 弧线在图像画布上的起始y坐标。
  • Comfy dtype: FLOAT
  • Python dtype: float
• end_x
  • 弧线在图像画布上的结束x坐标。
  • Comfy dtype: FLOAT
  • Python dtype: float
• end_y
  • 弧线在图像画布上的结束y坐标。
  • Comfy dtype: FLOAT
  • Python dtype: float
• start
  • 弧线的起始角度。
  • Comfy dtype: INT
  • Python dtype: float
• end
  • 弧线的结束角度。
  • Comfy dtype: INT
  • Python dtype: float
• red
  • 弧线颜色的红色分量。
  • Comfy dtype: INT
  • Python dtype: int
• green
  • 弧线颜色的绿色分量。
  • Comfy dtype: INT
  • Python dtype: int
• blue
  • 弧线颜色的蓝色分量。
  • Comfy dtype: INT
  • Python dtype: int
• alpha
  • 弧线颜色的透明度分量。
  • Comfy dtype: FLOAT
  • Python dtype: float
• SSAA
  • 超级采样抗锯齿因子，用于更高质量的渲染。
  • Comfy dtype: INT
  • Python dtype: int
• method
  • 绘制弧线后用于调整图像大小的方法，影响最终图像质量。
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str

Output types

• image
  • 返回带有绘制弧线的图像张量。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class ImageDrawArc:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "width": ("INT", {
                    "default": 256,
                    "min": 1,
                    "step": 1
                }),
                "height": ("INT", {
                    "default": 256,
                    "min": 1,
                    "step": 1
                }),
                "size": ("INT", {
                    "default": 1,
                    "min": 1,
                    "step": 1
                }),
                "start_x": ("FLOAT", {
                    "default": 0.0,
                    "max": 1.0,
                    "step": 0.01
                }),
                "start_y": ("FLOAT", {
                    "default": 0.0,
                    "max": 1.0,
                    "step": 0.01
                }),
                "end_x": ("FLOAT", {
                    "default": 1.0,
                    "max": 1.0,
                    "step": 0.01
                }),
                "end_y": ("FLOAT", {
                    "default": 1.0,
                    "max": 1.0,
                    "step": 0.01
                }),
                "start": ("INT", {
                    "default": 0,
                    "max": 360,
                    "step": 1
                }),
                "end": ("INT", {
                    "default": 180,
                    "max": 360,
                    "step": 1
                }),
                "red": ("INT", {
                    "default": 255,
                    "max": 255,
                    "step": 1
                }),
                "green": ("INT", {
                    "default": 255,
                    "max": 255,
                    "step": 1
                }),
                "blue": ("INT", {
                    "default": 255,
                    "max": 255,
                    "step": 1
                }),
                "alpha": ("FLOAT", {
                    "default": 1.0,
                    "max": 1.0,
                    "step": 0.01
                }),
                "SSAA": ("INT", {
                    "default": 4,
                    "min": 1,
                    "max": 16,
                    "step": 1
                }),
                "method": (["lanczos", "bicubic", "hamming", "bilinear", "box", "nearest"],),
            },
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "node"
    CATEGORY = "image/draw"

    # noinspection PyPep8Naming, PyUnresolvedReferences
    def node(self, width, height, size, start_x, start_y, end_x, end_y, start, end, red, green, blue, alpha, SSAA, method):
        canvas = Image.new("RGBA", (width * SSAA, height * SSAA), (0, 0, 0, 0))

        draw = ImageDraw.Draw(canvas)
        draw.arc(
            [
                (width * start_x * SSAA, height * start_y * SSAA),
                (width * end_x * SSAA, height * end_y * SSAA)
            ],
            start, end, (red, green, blue, int(alpha * 255)), size * SSAA
        )

        canvas = canvas.resize((width, height), get_sampler_by_name(method))

        return (canvas.image_to_tensor().unsqueeze(0),)