For high-end brands, "close enough" isn't an option.
Manually crafting prompts that maintain consistent lighting, lens physics, and material textures across hundreds of assets is a full-time job.
Furthermore, once an image is generated, verifying it against strict brand guidelines, HEX codes, font styles, and logo placement, usually requires a human designer's eyes. Scaling this process manually is a recipe for burnout and brand dilution.
A Virtual Creative Director.
A2B engineered a massive, modular n8n ecosystem that acts as a Virtual Creative Director. The workflow takes a raw concept and runs it through a gauntlet of specialized AI agents to ensure the final output isn't just a "pretty picture," but a brand-compliant asset.
Phase 1: The "Mega Prompt" Engine
An AI agent queries the Supabase "Style Vault" to find the closest aesthetic match. The "Alpha Prompt" node then wraps the user's idea in technical language, lens compression, lighting falloff, and "imperfection systems" (dust, grain, noise) to force photorealism.
Phase 2: High-Fidelity Generation
The workflow sends the engineered prompt to the Nano Banana Pro model. The system ensures the output adheres to the "Old Money" global theme, American retro wealth, quiet intimacy, and Architectural Digest-level quality.
Phase 3: The Automated Quality Checker
The generated image is passed to a "Brand Compliance Officer" powered by Gemini. It compares the image's dominant colors and styles against the official Brand Guidelines stored in Supabase. It returns a compliance score; if it's a "Fail," it generates a specific instruction to fix the asset.
Phase 4: Advanced Segmentation (SAM & Qwen)
Using the SAM (Segment Anything) node, the workflow isolates specific subjects from their backgrounds with precision. The Qwen node handles complex spatial reasoning to ensure that when subjects are placed in new environments, lighting and shadows integrate seamlessly.
