imageFree

Misty Spring Mountain Village

A realistic fine-art landscape photograph of a hidden Chinese mountain village with blossoms, rivers, pine cliffs, and morning mist. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a museum-quality realistic landscape photograph inspired by {argument name="source material" default="an ancient Chinese poetic description of a hidden spring mountain village"}. Show a high, elevated viewpoint from a rocky pine-covered cliff looking down into a secluded valley village in {argument name="season" default="early spring"}. The composition features layered blue-green mountains receding into mist, a broad winding river in the far left background, and a smaller clear stream curving through the right side of the valley. In the middle ground, place a small traditional rural Chinese settlement with dark tiled roofs, scattered farm plots, footpaths, and orchards filled with pale pink and white blossoms. Count the visible major landscape elements as exactly 6: one foreground rocky cliff with pine branches, one central village, one blossom-filled orchard belt, one small winding valley stream, one distant broad river, and one layered misty mountain backdrop. Use soft morning light after rain, drifting low fog, luminous haze, wet greenery, and a tranquil atmosphere as if captured by a top National Geographic landscape photographer. The image should feel like a real, collectible fine-art photograph rather than an illustration: natural colors, deep depth, atmospheric perspective, crisp foreground texture, delicate highlights on the blossoms, no people, no animals, no modern buildings, no roads, no power lines, no text or watermark. Use a wide horizontal frame, approximately {argument name="aspect ratio" default="4:3"}, with cinematic realism and subtle Chinese shanshui sensibility.

A practical guide to Misty Spring Mountain Village

Use Misty Spring Mountain Village 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.