191 lines
5.2 KiB
Markdown
191 lines
5.2 KiB
Markdown
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# Documentation
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- Class name: ImageDrawArc
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- Category: image/draw
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- Output node: False
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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。
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# Input types
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## Required
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- width
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- 指定将绘制弧线的图像画布的宽度。
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- Comfy dtype: INT
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- Python dtype: int
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- height
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- 指定将绘制弧线的图像画布的高度。
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- Comfy dtype: INT
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- Python dtype: int
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- size
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- 决定弧线的粗细。
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- Comfy dtype: INT
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- Python dtype: int
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- start_x
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- 弧线在图像画布上的起始x坐标。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- start_y
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- 弧线在图像画布上的起始y坐标。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- end_x
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- 弧线在图像画布上的结束x坐标。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- end_y
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- 弧线在图像画布上的结束y坐标。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- start
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- 弧线的起始角度。
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- Comfy dtype: INT
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- Python dtype: float
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- end
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- 弧线的结束角度。
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- Comfy dtype: INT
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- Python dtype: float
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- red
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- 弧线颜色的红色分量。
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- Comfy dtype: INT
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- Python dtype: int
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- green
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- 弧线颜色的绿色分量。
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- Comfy dtype: INT
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- Python dtype: int
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- blue
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- 弧线颜色的蓝色分量。
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- Comfy dtype: INT
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- Python dtype: int
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- alpha
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- 弧线颜色的透明度分量。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- SSAA
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- 超级采样抗锯齿因子，用于更高质量的渲染。
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- Comfy dtype: INT
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- Python dtype: int
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- method
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- 绘制弧线后用于调整图像大小的方法，影响最终图像质量。
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- Comfy dtype: COMBO[STRING]
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- Python dtype: str
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# Output types
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- image
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- 返回带有绘制弧线的图像张量。
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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: `GPU`
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- Common nodes: unknown
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## Source code
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```python
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class ImageDrawArc:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"width": ("INT", {
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"default": 256,
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"min": 1,
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"step": 1
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}),
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"height": ("INT", {
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"default": 256,
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"min": 1,
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"step": 1
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}),
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"size": ("INT", {
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"default": 1,
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"min": 1,
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"step": 1
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}),
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"start_x": ("FLOAT", {
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"default": 0.0,
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"max": 1.0,
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"step": 0.01
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}),
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"start_y": ("FLOAT", {
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"default": 0.0,
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"max": 1.0,
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"step": 0.01
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}),
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"end_x": ("FLOAT", {
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"default": 1.0,
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"max": 1.0,
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"step": 0.01
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}),
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"end_y": ("FLOAT", {
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"default": 1.0,
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"max": 1.0,
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"step": 0.01
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}),
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"start": ("INT", {
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"default": 0,
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"max": 360,
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"step": 1
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}),
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"end": ("INT", {
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"default": 180,
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"max": 360,
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"step": 1
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}),
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"red": ("INT", {
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"default": 255,
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"max": 255,
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"step": 1
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}),
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"green": ("INT", {
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"default": 255,
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"max": 255,
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"step": 1
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}),
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"blue": ("INT", {
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"default": 255,
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"max": 255,
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"step": 1
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}),
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"alpha": ("FLOAT", {
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"default": 1.0,
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"max": 1.0,
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"step": 0.01
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}),
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"SSAA": ("INT", {
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"default": 4,
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"min": 1,
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"max": 16,
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"step": 1
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}),
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"method": (["lanczos", "bicubic", "hamming", "bilinear", "box", "nearest"],),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "node"
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CATEGORY = "image/draw"
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# noinspection PyPep8Naming, PyUnresolvedReferences
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def node(self, width, height, size, start_x, start_y, end_x, end_y, start, end, red, green, blue, alpha, SSAA, method):
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canvas = Image.new("RGBA", (width * SSAA, height * SSAA), (0, 0, 0, 0))
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draw = ImageDraw.Draw(canvas)
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draw.arc(
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[
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(width * start_x * SSAA, height * start_y * SSAA),
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(width * end_x * SSAA, height * end_y * SSAA)
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],
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start, end, (red, green, blue, int(alpha * 255)), size * SSAA
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)
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canvas = canvas.resize((width, height), get_sampler_by_name(method))
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return (canvas.image_to_tensor().unsqueeze(0),)
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```
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