Multi-cut image generation comparing 9 different artistic styles

A detailed, complex prompt designed to generate a single image containing 9 separate cuts arranged in a 3x3 grid. The goal is to keep the subject, composition, pose, and camera position identical across all 9 cuts, varying only the artistic style to compare different rendering techniques, such as cell animation, watercolor, oil painting, and photorealistic 3D. This was used to compare GPT Image 1.5 and Nano banana Pro.

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Based on a reference image, generate a multi-cut image with 9 cuts arranged within a single image.
The layout is a uniform 3x3 grid. Each cut must feature the same person, same composition, same pose, and same camera position.
Style specification for each cut (from top-left to bottom-right):
Cell animation style (TV anime style, clean line art, 2-3 levels of shading)
Theatrical anime style (delicate lines, rich gradient shading)
Black and white manga style (ink lines, screen tones)
Watercolor illustration (paper texture, bleeding, pale colors)
Oil painting (impasto, brushstrokes, canvas feel)
High-quality 3D cartoon (soft modeling, subsurface scattering)
Photorealistic 3D (PBR, texture close to real life)
Clay animation (clay texture, handmade feel)
Cyberpunk color grading (cyan/magenta rim lighting, background remains plain)
All 9 cuts must have perfectly identical composition, person, pose, and background, allowing only the style difference to be compared.
Arrange them naturally as a single finished image.
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