Results for “rain”

A cinematic reveal shot: the camera slowly rises over a misty ridge to reveal [creature, e.g. an enormous ancient dragon] resting in a valley at dawn. Its breath disturbs the mist, scales catch the first sunlight, birds scatter. Epic scale, realistic textures, slow crane movement, film grain.

Create 6 critical thinking exercises for [age/level] about [topic]. Include spotting logical fallacies in short arguments, evaluating the reliability of two sources, separating fact from opinion, and one open problem with no single right answer. Provide teacher notes with model answers.

A cinematic photorealistic portrait of [subject] lit by [colors, e.g. magenta and teal] neon signs at night, raindrops on their face, shallow depth of field with glowing bokeh behind, 85mm lens, film-like grain. --ar 4:5 --style raw

A nostalgic photorealistic portrait of [subject] at [setting, e.g. a house party] taken with a 1990s point-and-shoot camera with direct on-camera flash, harsh shadows behind, slight red-eye, warm film color shift, visible grain and a date stamp in the corner. --ar 3:2 --style raw

A photorealistic night photo of a [city] street after rain, neon signs and street lights reflecting in puddles, a person with an umbrella walking away, light mist, 35mm lens at f/1.4, cinematic teal and orange grading, fine film grain. --ar 3:2 --style raw

A photorealistic cozy photo of an open book and a cup of [drink] on [surface, e.g. a knitted blanket by a rainy window], soft morning light, steam rising, reading glasses and a sprig of [flower], warm muted tones, 50mm lens, shallow depth of field. --ar 4:5 --style raw

A vintage travel poster for [destination], showing [iconic view, e.g. sailboats in the bay below whitewashed houses]. 1930s Art Deco lithograph style, flat bold color areas, simplified shapes, sunny palette of [colors], grain texture, space at the top for the destination name. --ar 2:3

A Bauhaus-inspired geometric art print: circles, semicircles, squares and thick lines arranged in a balanced asymmetric composition. Palette of [colors, e.g. mustard yellow, brick red, navy and cream], subtle paper grain, flat shapes with no gradients, museum poster feel. Portrait 3:4.

A cozy illustrated [room type, e.g. attic bedroom] at night: warm lamp light, rain on the window, stacks of books, plants, a sleeping cat on a knitted blanket and a steaming mug on the desk. Rich detail, soft gradients, warm orange and deep blue palette, slightly isometric perspective, lo-fi aesthetic. --ar 16:9

You are a machine learning engineer. Problem: [classification / regression] Data: [columns, target, size] Goal: [what decision the model supports] Write a scikit-learn pipeline: data loading, cleaning, feature engineering, train/test split, a baseline model and a stronger model, cross-validation, appropriate metrics,…

You are a staff engineer experienced with legacy systems. System: [description, age, language] Pain points: [bugs, slow changes, outdated libraries] Constraints: [can't stop shipping features, limited tests] Create a plan: characterisation tests first, the strangler-fig approach, which areas to modernise first (by ris…

Act as a workshop facilitator. Challenge: [question to solve] Participants: [number, roles] Time: [minutes] Design the session: framing the problem as a 'How might we…' question, a warm-up, 2 ideation techniques (e.g. crazy eights, brainwriting), clustering, voting, and turning the top ideas into next steps.