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Portrait Lighting Study Grid

A comprehensive prompt for creating a 3x3 lighting reference grid to test different studio lighting setups on a single subject. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

A 3x3 photo grid presented as a single image on a {argument name="background color" default="dark grey"} background. Each of the nine grid cells contains a different portrait of the same subject from the uploaded image, maintaining the perfect character consistency, outfit and pose across all panels. Below each individual portrait, a clean sans-serif text label with a number and name is clearly displayed. The grid layout and lighting setups are: - Top row, left to right: Loop Lighting (Flattering 3/4 light with a small loop of shadow from the nose onto the cheek) Hardlight Frontal Flash (direct front facing, harsh flashlight with deep frontal shadows) Split Lighting (dramatic light on only one side of the face, leaving the other side completely dark) - Middle row, left to right: Butterfly Lighting (classic symmetrical light from the front, slightly high, with a small shadow under the nose) Gobo Pattern (Venetian Blind)' (light projected through Venetian blinds, creating linear shadows across the face and clothes, the shadow can also be scene on the background) Under-Lighting (Uplight)' (light coming from below, creating reverse shadows and a moody look) - Bottom row, left to right: Golden Hour / Warm Light' (bathed in soft, golden, warm light from a side angle) Dramatic Spotlight (hard, narrow circular beam of light, with a deep chiascuro effect and crushed blacks) Neutral Kelvin Rim Light' (intense backlighting with no front fill, creating a distinct glowing outline around the hair and shoulders, leaving the face in darkness, against a black background). The perspective and features remain identical in all panels, with only the specified lighting changing to match the label.

A practical guide to Portrait Lighting Study Grid

Use Portrait Lighting Study Grid 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.