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Cinematic Lotus Ancient Painting

Generates a serene vertical lotus scene in a cinematic photoreal style inspired by restored classical Chinese floral paintings. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a vertical cinematic fine-art restoration style image of an ancient Chinese lotus painting brought into photoreal life: one pale pink lotus blossom with about 8 broad translucent petals and a dark seed-and-stamen center, partially hidden behind a huge blue-green lotus leaf on the upper right. Compose the scene with exactly 4 prominent lotus leaves: 1 oversized soft-focus leaf filling the left edge, 1 oversized crisp dark teal leaf in the upper right with a single round water droplet, 1 oversized soft leaf cropping in from the lower right, and 1 small flat round leaf near the center with tiny dew along its rim. Add exactly 3 main stems: 1 tall smooth curved stem supporting the pink flower, 1 thin arcing hairy stem looping toward the small center leaf, and 1 delicate grasslike sprout rising from the bottom with narrow leaves and tiny buds. Use {argument name="flower color" default="soft pale pink"}, {argument name="leaf color" default="muted blue-green teal"}, {argument name="background tone" default="misty pale gray-white"}, and {argument name="visual style" default="cinematic photoreal ancient Chinese ink-painting aesthetic"}. The atmosphere should be quiet, poetic, elegant, and minimal, with shallow depth of field, soft diffused backlighting, visible leaf veins, subtle mist, delicate dew, natural botanical textures, gentle contrast, and a high-end cinematic macro-photography quality. Keep the composition spacious and vertical, with no text, no border, no people, and no modern objects.

A practical guide to Cinematic Lotus Ancient Painting

Use Cinematic Lotus Ancient Painting 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.