{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d5ca06c7924546a99246397e1ca1c0be\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d5ca06c7924546a99246397e1ca1c0be-4691a263198b321a.gif","duration":325.116,"title":"Transforming Interior Design Ideas into Visual Concepts with AI 🌟","description":"In 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."}