video1.0<iframe src="https://www.loom.com/embed/d5ca06c7924546a99246397e1ca1c0be" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d5ca06c7924546a99246397e1ca1c0be-4691a263198b321a.gif325.116In this video, I walk you through the MoodMod agent workflow I built in 8n, which transforms a simple interior design idea into a polished visual prompt and generates a styled image board using a Hugging Face image generation model. The process starts with capturing user input through a chat message trigger, then expands that input into a detailed prompt using the Google Gemini chat model. I also demonstrate how the prompt is sanitized for safe use before sending it to the Hugging Face API for image generation. The final output is a PNG image that visually represents the styled mood board concept based on the user's original idea. I encourage you to explore how AI agents can effectively combine language models and image generation APIs to create visual concepts from simple descriptions.