| import os
|
| import torch
|
| from nodes import MAX_RESOLUTION
|
| import torchvision.transforms.v2 as T
|
| from .utils import FONTS_DIR
|
|
|
| class DrawText:
|
| @classmethod
|
| def INPUT_TYPES(s):
|
| return {
|
| "required": {
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| "text": ("STRING", { "multiline": True, "dynamicPrompts": True, "default": "Hello, World!" }),
|
| "font": (sorted([f for f in os.listdir(FONTS_DIR) if f.endswith('.ttf') or f.endswith('.otf')]), ),
|
| "size": ("INT", { "default": 56, "min": 1, "max": 9999, "step": 1 }),
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| "color": ("STRING", { "multiline": False, "default": "#FFFFFF" }),
|
| "background_color": ("STRING", { "multiline": False, "default": "#00000000" }),
|
| "shadow_distance": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }),
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| "shadow_blur": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }),
|
| "shadow_color": ("STRING", { "multiline": False, "default": "#000000" }),
|
| "horizontal_align": (["left", "center", "right"],),
|
| "vertical_align": (["top", "center", "bottom"],),
|
| "offset_x": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
|
| "offset_y": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }),
|
| "direction": (["ltr", "rtl"],),
|
| },
|
| "optional": {
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| "img_composite": ("IMAGE",),
|
| },
|
| }
|
|
|
| RETURN_TYPES = ("IMAGE", "MASK",)
|
| FUNCTION = "execute"
|
| CATEGORY = "essentials/text"
|
|
|
| def execute(self, text, font, size, color, background_color, shadow_distance, shadow_blur, shadow_color, horizontal_align, vertical_align, offset_x, offset_y, direction, img_composite=None):
|
| from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter
|
|
|
| font = ImageFont.truetype(os.path.join(FONTS_DIR, font), size)
|
|
|
| lines = text.split("\n")
|
| if direction == "rtl":
|
| lines = [line[::-1] for line in lines]
|
|
|
|
|
| text_width = max(font.getbbox(line)[2] for line in lines)
|
| line_height = font.getmask(text).getbbox()[3] + font.getmetrics()[1]
|
| text_height = line_height * len(lines)
|
|
|
| if img_composite is not None:
|
| img_composite = T.ToPILImage()(img_composite.permute([0,3,1,2])[0]).convert('RGBA')
|
| width = img_composite.width
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| height = img_composite.height
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| image = Image.new('RGBA', (width, height), color=background_color)
|
| else:
|
| width = text_width
|
| height = text_height
|
| background_color = ImageColor.getrgb(background_color)
|
| image = Image.new('RGBA', (width + shadow_distance, height + shadow_distance), color=background_color)
|
|
|
| image_shadow = None
|
| if shadow_distance > 0:
|
| image_shadow = image.copy()
|
|
|
|
|
| for i, line in enumerate(lines):
|
| line_width = font.getbbox(line)[2]
|
|
|
| if horizontal_align == "left":
|
| x = 0
|
| elif horizontal_align == "center":
|
| x = (width - line_width) / 2
|
| elif horizontal_align == "right":
|
| x = width - line_width
|
|
|
| if vertical_align == "top":
|
| y = 0
|
| elif vertical_align == "center":
|
| y = (height - text_height) / 2
|
| elif vertical_align == "bottom":
|
| y = height - text_height
|
|
|
| x += offset_x
|
| y += i * line_height + offset_y
|
|
|
| draw = ImageDraw.Draw(image)
|
| draw.text((x, y), line, font=font, fill=color)
|
|
|
| if image_shadow is not None:
|
| draw = ImageDraw.Draw(image_shadow)
|
| draw.text((x + shadow_distance, y + shadow_distance), line, font=font, fill=shadow_color)
|
|
|
| if image_shadow is not None:
|
| image_shadow = image_shadow.filter(ImageFilter.GaussianBlur(shadow_blur))
|
| image = Image.alpha_composite(image_shadow, image)
|
|
|
|
|
| mask = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1])
|
| mask = mask[:, :, :, 3] if mask.shape[3] == 4 else torch.ones_like(mask[:, :, :, 0])
|
|
|
| if img_composite is not None:
|
| image = Image.alpha_composite(img_composite, image)
|
|
|
| image = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1])
|
|
|
| return (image[:, :, :, :3], mask,)
|
|
|
| TEXT_CLASS_MAPPINGS = {
|
| "DrawText+": DrawText,
|
| }
|
|
|
| TEXT_NAME_MAPPINGS = {
|
| "DrawText+": "🔧 Draw Text",
|
| } |