Upload a reference
Start from a product, prop, character object, scan, or concept image.
Image to 3D object studio
Turn one image into a 3D object workflow.
ML-LiTo is a public front door for experimenting with Apple LiTo-style image-to-3D generation: upload a product, prop, collectible, or object reference and preview the pipeline before the hosted generator is connected.
single image input
surface light field tokens
3D preview
Try the front end
Bring a clean object image.
This preview runs locally in your browser: it does not upload the image yet. When the backend is connected, this same flow will send the image to the LiTo generation service and return a 3D asset preview.
What gets built next
A practical LiTo pipeline for creators and sellers.
Generate 3D
Run the open LiTo image-to-3D model on a hosted GPU or Apple Silicon worker.
Inspect the result
Spin the object, check material consistency, and decide whether to refine.
Export assets
Package the output for demos, product pages, 3D viewers, or downstream editing.
Research base
Built around Apple’s public LiTo release.
Apple describes LiTo as a latent 3D representation for jointly modeling geometry and view-dependent appearance, including effects like reflections and lighting. The public repository includes an interactive image-to-3D demo, pretrained checkpoints, and Apple Silicon support for the demo path.
ML-LiTo on Almonte Technology is independent and is not an Apple product. It is being built around Apple’s public `apple/ml-lito` research code and model release.