A furniture company came to me wanting product photos in 50 different room settings.

Traditional approach: hire photographers, rent 50 rooms, do photoshoots. Cost estimate: $200,000+.

What we built: a fine-tuned Stable Diffusion pipeline that generates photorealistic product images in any setting. Cost: about $3,000 in development and a few dollars per batch of images. Time: two weeks.

This is the kind of application that makes generative AI genuinely transformative for businesses.

DreamBooth lets you teach the model your specific products. LoRA adds style control with minimal compute. ControlNet gives precise spatial control. Inpainting handles edits to specific regions. All trainable on a single GPU in under an hour.

The use cases multiply once you start looking: architecture visualization, game asset generation, fashion design prototyping, medical image augmentation for training data.

Companies are paying $10K-$50K for custom image generation pipelines. The tools are free and open source. The margin is excellent for anyone who invests the time to learn.

This is one of those rare situations where the technology is mature, the demand is high, and most potential builders don't realize how accessible it's become.