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Prompt: Cat with buffalo horn headress
Joshua Rosen

Joshua Rosen

Model: Juggernaut XL

Prompt:

Cat with buffalo horn headress
Width: 1024
Height: 1024
Scale: 7
Steps: 25
Seed: 1727272812
Sampler: DPM++ 2M SDE Karras

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Prompt: from PIL import Image, ImageDraw import numpy as np image_path = "/mnt/data/C4357F88-2E71-4FF7-97DD-11D9EEAC25CD.jpeg" cat_image = Image.open(image_path) crown_width = int(cat_image.width * 0.3) crown_height = int(crown_width * 0.5) crown_image = Image.new('RGBA', (crown_width, crown_height), (255, 255, 255, 0)) draw = ImageDraw.Draw(crown_image) draw.rectangle([(0, crown_height * 0.7), (crown_width, crown_height)], fill=(255, 215, 0, 255)) peak_width = crown_width // 5 for i in range(5): x0 = i * peak_width x1 = x0 + peak_width x_middle = (x0 + x1) // 2 draw.polygon([(x0, crown_height * 0.7), (x_middle, 0), (x1, crown_height * 0.7)], fill=(255, 215, 0, 255)) decorations = [ ((crown_width * 0.2, crown_height * 0.4), (crown_width * 0.3, crown_height * 0.5), (255, 0, 0, 255)), ((crown_width * 0.7, crown_height * 0.4), (crown_width * 0.8, crown_height * 0.5), (0, 0, 255, 255)), ((crown_width * 0.45, crown_height * 0.1), (crown_width * 0.55, crown_height * 0.2), (0, 255, 0, 255)), ] for ellipse in decorations: draw.ellipse(ellipse[:2], fill=ellipse[2]) gradient = np.zeros((crown_height, crown_width, 4), dtype=np.uint8) for y in range(crown_height): for x in range(crown_width): alpha = int(255 * (1 - (y / crown_height) ** 2)) gradient[y, x] = [255, 255, 255, alpha] gradient_image = Image.fromarray(gradient, 'RGBA') crown_image = Image.alpha_composite(crown_image, gradient_image) crown_position = (cat_image.width // 2 - crown_width // 2, cat_image.height // 5) cat_image_with_crown = cat_image.copy() cat_image_with_crown.paste(crown_image, crown_position, crown_image) final_image_path = "/mnt/data/cat_with_shiny_crown.png" cat_image_with_crown.save(final_image_path) cat_image_with_crown.show()
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