image-generator

To automate brand-aligned image generation, this Skill uses Google Gemini API and a BRAND.md file to tailor prompts, ensuring visuals stay consistent across your marketing assets. It replaces manual design with AI-generated visuals that strictly follow your brand guidelines.

BRAND.md ensures visual consistency by providing brand guidelines that the Skill reads to tailor prompts before sending them to Google Gemini. This enforces a unified style across LinkedIn headers, Medium headers, Square concept cards, and Vertical explainers.

Yes, you need a Google Gemini API key to generate LinkedIn and Medium headers, along with Python dependencies like google-genai and pillow. You must set the GEMINI_API_KEY environment variable before running the image generation script.

Yes, you can generate Square concept cards and Vertical explainers for social campaigns. The format-aware image generation feature supports these specific dimensions alongside LinkedIn and Medium headers to support blog posts and marketing materials.

The best way to generate brand-consistent images using Python is to run the generate_image.py script with parameters for your prompt, output file, and image type. This leverages the Gemini API and pillow to automatically format the output for your specific marketing channels.

A limitation of using AI-generated visuals for blog posts is the strict dependency on your BRAND.md file and Google Gemini API for prompt tailoring. Visual outputs are automated based on these inputs, meaning brand alignment requires maintaining accurate guideline files.