AI Image Prompts for Basel
Explore AI generated designs, images, art and prompts by top community artists and designers.
Create a finished sports-editorial campaign poster , 9:16 , full bleed. Lifelike action photography , monumental condensed typography , warm stone palette. One clear athletic moment becomes a sculptural focal point: a real body mid-action , directional hard light , deep sculpted shadow , believable skin , fabric and equipment texture. One headline in massive , heavy , ultra-narrow all-caps sans-serif , bone white. The type is a structural shape in the scene , not a caption: split , stacked or broken by the action. The athlete and headline physically interact: passing through , slicing between or overlapping the letters. Every character stays readable. Palette: warm taupe , stone , greige , bone white , charcoal shadow , with small rust-orange accents only. Strong scale contrast between body and type , with open color fields for breathing room. Headline: TAKE FLIGHT · board as underline · concrete skate bowl Skater at the peak of a high aerial above the bowl , cream windbreaker and dark trousers; the bowl's curved lip echoes the baseline. Type interaction: the board slices between TAKE and FLIGHT like a moving underline. No other text , no logos or brand marks , no watermark , no pseudo-lettering , no neon , no plastic skin , no fake distressed print , no effects that hide the action. ,
Highly detailed professional concept art. Visualizing **Data Performance and Transformation: a clean , elegant bar chart showing distinct red bars representing losses pointing downward below a clear baseline , and blue bars representing growth pointing upward above the baseline.** Stylized graphical elements within an abstract background. Visually deep and layered composition. Rich professional color harmony focusing on professional blues , reds , and complementary corporate tones. Prominent light sources , profound shadows , subtle cinematic lighting , high-quality studio render , refined corporate aesthetics , --ar 4:1 ,
import cv2 import numpy as np img_size = (400 , 400) img = np.zeros(img_size , dtype=np.uint8) words = ["love" , "cosmos"] font_scale = 2 font = cv2.FONT_HERSHEY_SIMPLEX for word in words: text_size , baseline = cv2.getTextSize(word , font , font_scale , 2) x = (img_size[0] - text_size[0]) // 2 y = (img_size[1] + text_size[1]) // 2 cv2.putText(img , word , (x , y) , font , font_scale , (255 , 255 , 255) , ,
