# 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 ```python 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),) ```