Transform your photos into ultra-high-resolution 3D models in seconds. Film-quality geometry with PBR textures, ready for games, e-commerce, and 3D printing.

FASHN v1.6 delivers precise virtual try-on capabilities, accurately rendering garment details like text and patterns at 864x1296 resolution from both on-model and flat-lay photo references.

SAM 3D enables precise 3D reconstruction of objects from real images, while accurately reconstructing their geometry and texture.

Bria Virtual Try-On edits a person photo to show the subject wearing garments or accessories from one to three reference images, guided by optional text instructions. Built on FIBO-Edit-1.5, it supports multi-garment changes and preserves the source aspect ratio by default.

Try on clothes virtually by combining person and clothing images.

Recraft V3 is a text-to-image model with the ability to generate long texts, vector art, images in brand style, and much more. As of today, it is SOTA in image generation, proven by Hugging Face's industry-leading Text-to-Image Benchmark by Artificial Analysis.

Generate virtual try-on results from a person image plus one or more garment references.

Generate realistic virtual try-on images from a person image and a clothing product image.

FASHN v1.5 delivers precise virtual try-on capabilities, accurately rendering garment details like text and patterns at 576x864 resolution from both on-model and flat-lay photo references.

Commercially safe, multi-reference image editing model. Follows natural language instructions alone or with up to 4 reference images, purpose-built for complex object and character combinations, virtual try-on, background replacement, style transfer, and more.

Leffa Virtual TryOn is a high quality image based Try-On endpoint which can be used for commercial try on.

Virtual clothing try-on (2 images: person + garment)

Estimates metric 3D geometry from a single image, returning a point map, depth, surface normals, a validity mask and the camera field of view. A sparse 3D refiner sharpens the predicted depth, and the result can be exported as a textured GLB mesh and a colored PLY point cloud.

Image based high quality Virtual Try-On

Estimates metric 3D geometry from a single image, returning a point map, depth, a validity mask and the camera field of view, with surface normals on the normal-capable checkpoints. Four ViT checkpoints trade accuracy for speed, and the result can be exported as a textured GLB mesh and a colored PLY