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| import os | |
| import torch | |
| from nodes import MAX_RESOLUTION | |
| import torchvision.transforms.v2 as T | |
| from .utils import FONTS_DIR | |
| class DrawText: | |
| def INPUT_TYPES(s): | |
| return { | |
| "required": { | |
| "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 }), | |
| "color": ("STRING", { "multiline": False, "default": "#FFFFFF" }), | |
| "background_color": ("STRING", { "multiline": False, "default": "#00000000" }), | |
| "shadow_distance": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }), | |
| "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": { | |
| "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] | |
| # Calculate the width and height of the text | |
| text_width = max(font.getbbox(line)[2] for line in lines) | |
| line_height = font.getmask(text).getbbox()[3] + font.getmetrics()[1] # add descent to height | |
| 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 | |
| height = img_composite.height | |
| 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() | |
| #image_shadow = Image.new('RGBA', (width + shadow_distance, height + shadow_distance), color=background_color) | |
| for i, line in enumerate(lines): | |
| line_width = font.getbbox(line)[2] | |
| #text_height =font.getbbox(line)[3] | |
| 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) | |
| #image = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1]) | |
| 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+": "๐ง Draw Text", | |
| } |