How do I use the 90s Hong Kong Cinema Portrait template?
Choose the primary action to open PicX Studio with the available template settings. Review the model and format, personalize the creative direction, and generate when ready.
imageFree
90s Hong Kong Cinema Portrait
Transforms a reference image into a Wong Kar-wai inspired 90s film aesthetic with heavy shadows and yellow-green color grading. (free to use) — Free AI image template on PicX Studio.
Sample Prompt
modify image : use the subject from uploaded image as base main subject foundation, perserve facial detail and body figure shape . ignore any other unrelated element. Preserve the facial features and pose of the subject, but completely overhaul the visual follow this Prompt: A cinematic low-angle medium shot, {argument name="style" default="1990s Hong Kong cinema style (Wong Kar-wai)"}. Subject: [Uploaded Image Base], preserving her exact facial features, body figure, and contemplative expression. She stands against a tilted horizon. Visuals: She wears a {argument name="outfit" default="white vintage blouse"} with a dreamy glamour glow. Heavy chiaroscuro lighting; a sharp golden light hits her jawline, creating deep shadows. Her dark, wind-swept hair has intense rim-lighting and soft CCD bloom. Atmosphere: {argument name="color grading" default="Desaturated midground, sickly-sweet yellow-green color grading"}, 35mm film grain, teal-tinted sky. The low angle makes her look isolated yet monumental, searching for a phantom presence. Shallow depth of field, chromatic aberration.
Reference assets included
90s Hong Kong Cinema Portrait needs input media to work. Open it in the studio and these load alongside the prompt — pick whichever ones your chosen model can take.
1 reference image
A practical guide to 90s Hong Kong Cinema Portrait
Use 90s Hong Kong Cinema Portrait 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.
