High-Fashion Meets Code: AI-Generated Fashion Campaign

Trying a new prompt structure for these fashion images using Nano Banana 2. If you know Python and other coding languages, you probably know what's going on here :) 

class Million_Dollar_Campaign:
    def __init__(self, model="[MODEL]", setting="[SETTING]", occasion="[OCCASION/VIBE]"):
        self.aesthetic = "Vogue Magazine Cover, High-Fashion Editorial, Structural Minimalism"
        self.quality = "1M Dollar Production, Flawless Micro-Contrast"

    def calculate_physics(self):
        # AI INSTRUCTION: Automatically infer the following based on the 'setting' and 'occasion'
        camera_gear = "AI_INFER(Optimal Medium Format Camera + Focal Length)"
        lighting_setup = "AI_INFER(Appropriate High-End Lighting e.g., Profoto Strobes, Gobos, or Diffused Sunlight)"
        wardrobe = "AI_INFER(Structured, high-end designer attire matching the occasion)"
        
        return f"Shoot {self.model} in a {self.setting} for a {self.occasion} campaign. " \
               f"Equipment: {camera_gear}. Lighting: {lighting_setup}. " \
               f"Wardrobe: {wardrobe}. " \
               f"Style: {self.aesthetic}."

# EXECUTE RENDER
# Example: model="East Asian female", setting="concrete bunker", occasion="Cyber-Noir Perfume Launch"}