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Cinematic Film Genre Color Grading Comparison

A detailed prompt for creating a cinematic vertical poster that compares five different film color grading styles for the same urban street scene. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a {argument name="aspect" default="vertical"} cinematic tutorial comparison poster showing the same {argument name="subject" default="urban street scene"} repeated in five horizontal panels, each panel demonstrating a different film genre color grading style. The scene is a busy small city street at sunset, with cars, motorcycles, cyclists, shop buildings, electric poles, tangled overhead wires, and warm evening sky. Keep the camera angle exactly the same in every panel, like a fixed street photography shot. Each horizontal strip should have a different cinematic mood and color tone: Panel 1: SUSPENSE - cool blue shadows, dark contrast, slightly mysterious atmosphere, tense and moody lighting. Panel 2: ACTION - warm orange sunset tone, high contrast, energetic cinematic look, dramatic highlights. Panel 3: CRIME - cold teal blue grading, darker exposure, gritty urban feeling, realistic shadows. Panel 4: ROMANCE - soft golden warm tone, gentle contrast, nostalgic sunset mood, dreamy atmosphere. Panel 5: DRAMA - muted purple blue evening tone, emotional cinematic lighting, soft shadows and serious mood. Add bold white uppercase text on the right side of each panel: SUSPENSE, ACTION, CRIME, ROMANCE, DRAMA. Use clean modern sans serif typography with slight glow or subtle shadow. Separate each panel with thin white horizontal borders. Make it look like a professional filmmaking color grading tutorial thumbnail, cinematic, realistic, high detail, urban street photography, 9:16 vertical composition. Negative Prompt: cartoon, anime, painting, low quality, blurry, distorted buildings, extra text, wrong spelling, messy typography, overexposed, unrealistic colors, duplicated cars, warped street, bad perspective, random objects, low resolution, watermark

A practical guide to Cinematic Film Genre Color Grading Comparison

Use Cinematic Film Genre Color Grading Comparison to plan an AI image around gpt-image-2 generation, themes such as en and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.

Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
Composition: choose an aspect ratio for the final placement before you generate the image.
Creative direction: use en, gpt-image-2, twitter as the main visual anchors and change one variable at a time.