from PIL import Image, ImageDraw, ImageFont import numpy as np import torch class AsciiArt: def __init__(self): pass @classmethod def INPUT_TYPES(s): return { "required": { "image": ("IMAGE",), "char_size": ("INT", { "default": 12, "min": 0, "max": 64, "step": 2, }), "font_size": ("INT", { "default": 12, "min": 0, "max": 64, "step": 2, }), }, } RETURN_TYPES = ("IMAGE",) FUNCTION = "apply_ascii_art_effect" CATEGORY = "postprocessing/Effects" def apply_ascii_art_effect(self, image: torch.Tensor, char_size: int, font_size: int): batch_size, height, width, channels = image.shape result = torch.zeros_like(image) for b in range(batch_size): img_b = image[b] * 255.0 img_b = Image.fromarray(img_b.numpy().astype('uint8'), 'RGB') result_b = ascii_art_effect(img_b, char_size, font_size) result_b = torch.tensor(np.array(result_b)) / 255.0 result[b] = result_b return (result,) def ascii_art_effect(image: torch.Tensor, char_size: int, font_size: int): chars = " .'`^\",:;I1!i><-+_-?][}{1)(|\/tfjrxnuvczXYUCLQ0OZmwqpbdkhao*#MW&8%B@$" small_image = image.resize((image.size[0] // char_size, image.size[1] // char_size), Image.Resampling.NEAREST) def get_char(value): return chars[value * len(chars) // 256] ascii_image = Image.new('RGB', image.size, (0, 0, 0)) font = ImageFont.truetype("arial.ttf", font_size) draw_image = ImageDraw.Draw(ascii_image) for i in range(small_image.height): for j in range(small_image.width): r, g, b = small_image.getpixel((j, i)) k = (r + g + b) // 3 draw_image.text( (j * char_size, i * char_size), get_char(k), font=font, fill=(r, g, b) ) return ascii_image NODE_CLASS_MAPPINGS = { "AsciiArt": AsciiArt, }