Fashion Production Workflow

Overview Designed and built an AI-native fashion collection pipeline, from brand identity through campaign imagery, using a multi-node workflow architecture connecting creative direction to production output. Covers: brand guidelines, trend research, collection definition, prompt engineering for ghost mannequin renders, technical flats, AI model styling, and campaign visualisation. Every stage feeds the next: colour, material, hardware and lighting stay consistent across the collection. Challenge Coherence at collection level is the core problem. Making multiple renders across 8 pieces feel like one brand, one season, is an engineering problem. Solved through a node architecture where brand guidelines and trend intelligence flow into every downstream node; HEX values locked into every render prompt; lighting and hardware enforced at system level; img2img chaining for technical flats using mannequin renders as reference.