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AI Fashion Photography
A hands-on walkthrough of building a complete AI-powered fashion photography pipeline in ImagineArt — from a single flat-lay image to a full campaign. Covers generating PDP product and on-model shots, using Agent Mode to plan editorial concepts, locking in brand consistency with system prompts, techniques for realistic on-model imagery, localizing assets for different markets, and structuring workflows so the entire pipeline is repeatable across every SKU in a collection.
Lesson 2Generating PDP Images from a Flat-Lay (Product, On-Model & Video)
Build a repeatable node workflow that turns a single flat-lay product photo into a full set of PDP assets — product close-ups, on-model shots in multiple poses/ethnicities, and short 360° product videos.
Open this lessonLesson 3Ideating Concepts for Campaign Imagery
Use ImagineArt's in-built chat mode in Workflows to turn a mood board and a product image into multiple campaign-ready prompts, then fan them out automatically into a full set of editorial fashion campaign images.
Open this lessonLesson 4Using System Prompts to Create Visually Consistent Campaign Images
Learn how system prompts keep color, mood, and camera direction consistent across every image in a campaign — and how to use the Agent Mode in ImagineArt Workflows to generate one from your brand guidelines.
Open this lessonLesson 5Best Practices: Making Your AI Models Look More Realistic
Practical techniques for making AI-generated models look photoreal instead of plastic — from generating your model separately with realistic skin texture to compositing them onto your garment.
Open this lessonLesson 6Building Market-Specific Assets from One Campaign
Skip separate local photo shoots for every market — learn how to re-target existing campaign assets and entire workflows to a new model ethnicity while keeping art direction, styling, and framing identical.
Open this lessonLesson 7Making a Repeatable Workflow That Works for 1000+ SKUs
The one rule that determines whether your pipeline is truly repeatable across hundreds of SKUs — and how to fix prompts that accidentally break it, using the agent to rephrase them at scale.
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