AI for Fashion — Design Concepts, Lookbooks, On-Model Shots & Marketing

Oakgen.ai helps fashion designers generate concept sketches, lookbook imagery, on-model visualizations, and marketing content. Reduce concept-to-visual time by 90% — explore 20 design directions before creating a single sample.

Pain Points We Solve

  • Physical sampling takes weeks and costs $100–$500 per prototype
  • Lookbook photography requires studios, models, and photographers ($2,000+ per shoot)
  • Visualizing designs on different body types and in different contexts is expensive
  • Trend exploration requires manual mood boarding from runway shows and street style
  • Marketing content (social media, e-commerce imagery) needs constant production

How Oakgen Helps

Example Workflows

New Collection Preview

  1. Generate 15 design concept visualizations (180 credits)
  2. Create on-model shots for top 5 designs (60 credits)
  3. Produce social media marketing images (36 credits)
  4. Generate a 10-second runway-style video clip (60 credits)
  5. Total: ~336 credits for a complete collection preview

Frequently Asked Questions

Can AI-generated fashion images show accurate fabric draping?

FLUX 2 Pro and Imagen 4 Ultra handle fabric textures, draping, and movement well for concept visualization. For technical accuracy of specific fabrics, they're concept tools, not engineering tools.

Can I generate designs on models of different body types?

Yes. Specify body type, height, pose, and styling in your prompt. Generate the same design on diverse models for inclusive lookbook presentations.

How does this compare to The New Black or Ablo AI?

Specialized fashion AI tools focus on garment-specific generation. Oakgen offers broader creative capabilities — fashion imagery PLUS video for brand films, music for runway shows, and voice for marketing narration — all in one platform.

Ready to Start?

1,000 free credits. No credit card required.

Visualize Your First Design Free
AI Fashion Design — Concept Sketches, Lookbooks & Marketing | Oakgen | Oakgen.ai