Introducing PATINA

fal introduced PATINA, a model that generates high-resolution PBR maps from rendered images, bridging the gap between AI-generated images and traditional CGI workflows. PATINA uses a modified FLUX.2 klein backbone with a DINOv2 adapter and was trained on CC0 material libraries with a custom Cook-Torrance BRDF renderer. The model outputs basecolor, normal, roughness, metalness, and height maps, and is available via endpoints starting at $0.08 for a full material set.

From the source
PATINA aims to bridge that gap, empowering users to create high-resolution, ornately detailed PBR maps from final rendered images.
blog.fal.ai