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Girl and Puppy Behind Lamppost

A photorealistic whimsical golden-hour street portrait of a little girl and sunglass-wearing puppy peeking from behind an old lamppost. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a whimsical, cinematic street portrait of a curious little girl peeking out from behind an old urban lamppost, accompanied by a small fluffy pet dog. The girl is {argument name="character description" default="a young girl with warm brown wavy hair tied in a messy high bun with a black ribbon bow, wearing a cozy black hoodie, black sunglasses perched low on her nose, and white sneakers"}; her face should be partly hidden in a playful peekaboo pose, with one small hand gripping the lamppost. The pet is {argument name="pet description" default="a tiny tan-and-brown fluffy puppy with floppy ears"}, sitting beside her at ground level and wearing small black sunglasses plus a cozy black hoodie. Use an old dark green-black cast iron lamppost on the left foreground, textured with age, scratches, and worn paint. Set the scene on a city sidewalk during golden hour, with warm backlighting, long soft shadows, glowing bokeh, blurred pedestrians and urban buildings in the background. Compose vertically, close to ground level, with the lamppost taking the left third, the child crouched behind it in the middle, and the puppy fully visible near the lower right. Make it photorealistic but charming and slightly storybook-like, with shallow depth of field, realistic fur and fabric textures, warm amber sunlight, high detail, natural color grading, and an intimate candid feel. Keep exactly two main characters: one little girl and one puppy. No visible text, no extra animals, no cartoon style, no watermark.

A practical guide to Girl and Puppy Behind Lamppost

Use Girl and Puppy Behind Lamppost 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.