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Gothic Maid Acrobatic Kick

Generates a cinematic anime action scene of a pink-haired gothic maid performing a dramatic breakdance-style kick in a palace ballroom. (free to use) — Free AI image template on PicX Studio.

gpt-image-2

Sample Prompt

Create a dynamic vertical anime action illustration of a {argument name="character type" default="pink-haired gothic lolita maid girl"} performing an acrobatic one-handed breakdance handstand kick inside a grand European palace ballroom. The camera is extremely low near the polished marble floor, looking upward with dramatic foreshortening: one booted leg thrusts close to the viewer and is heavily motion-blurred, the other leg extends backward, while one hand presses on the reflective floor and the character looks toward the viewer with a confident fierce expression. She has long flowing {argument name="hair color" default="rose pink"} twin-tail hair whipping through the air, green eyes, frilly white maid headband, and an ornate {argument name="outfit color" default="deep emerald green"} gothic lolita maid dress with puff sleeves, ruffled white lace trim, corset-like bodice, bows, layered skirt, stockings, and lace-up heeled boots. Add bright white circular speed trails and arcing wind ribbons around her spinning body to emphasize high-speed action. The environment is a luxurious sunlit ballroom with tall arched windows on both sides, gilded wall details, high ceiling, chandeliers, dust motes, shafts of light, and glossy patterned marble reflections. Use cinematic lighting, extreme perspective, intense motion blur, sharp focus on the face and supporting hand, detailed fabric folds and lace, elegant fantasy anime rendering, high detail, vertical composition, dramatic action energy, no text, no watermark.

A practical guide to Gothic Maid Acrobatic Kick

Use Gothic Maid Acrobatic Kick 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.