Generating Mock Images for Flower & Plant E-Commerce

Generates high-quality mock product photography for flower and plant e-commerce stores, displays the resulting image in chat for review, and handles user feedback (regenerate, delete, or save to workspace).

Workflow Steps

1. Synthesize Prompt & Call generate_image

CRITICAL TOOL RULE: You MUST execute the native generate_image tool to generate studio product images. Do NOT write Python scripts (e.g. PIL, matplotlib, byte packing), HTML/Canvas, SVG, or code to render images.

Default Pre-baked Subject Options:

• Option A (Houseplants): "Lush potted plant with healthy leaves in a minimalist ceramic pot"
• Option B (Floral Arrangements): "Elegant floral arrangement of fresh seasonal blooms in a clear glass vase filled with crystal-clear water"

Prompt Synthesis Strategy: When composing the Prompt argument for generate_image, integrate the scene, camera, and lighting parameters:

"Professional studio product photograph of [SUBJECT]. [SCENE: smooth matte light gray surface, seamless background curve with soft infinite horizon, visible water line in vase]. [CAMERA: macro lens photography, sharp focus from front to back, f/11 aperture, crisp details, zero digital noise]. [LIGHTING: three-point soft-diffuse lighting, 48-inch octagonal softbox key light at 45 degrees, gentle fill light, backlit soft ambient glow, no harsh glare or unwanted reflections, premium e-commerce product catalog style]."