Hi3D Production-Ready Image-to-3D Models

Hi3D is an AI 3D creation platform that converts reference images into textured, editable 3D models. Atlas Cloud provides four image to 3D variants spanning faster 1536³ generation and high fidelity 2048³ production. These models support workflows such as game assets, collectibles, product prototypes, and 3D printing.

Turn product photos, character artwork, props, sculptures, or other clearly presented subjects into textured 3D meshes. The results can serve as starting points for digital content, visualization, further editing, or print preparation. Complex poses, heavy occlusion, and hidden surfaces may still require cleanup.

Choose a Hi3D endpoint based on the required detail and processing time, then provide one image or multiple views of the same object. Select the desired output format and enable PBR maps when your workflow needs material data. Follow the parameter schema linked from the selected model endpoint when submitting the request.

Single view generation accepts one image, while multi view generation supports two to four images of the same object. A front view is required for multi view input, and back, left, or right views can provide more information about otherwise hidden geometry. Use clear images with consistent subjects and minimal obstruction.

Official documentation lists PNG, JPEG, JPG, and WebP inputs, with a maximum size of 20 MB per image. Generated meshes can be exported as GLB, OBJ, STL, FBX, USDZ, or 3MF, while optional PBR maps support material based rendering workflows.

Choose v2.1 Fast for the shortest turnaround at 1536³, or v2.1 Pro when a longer refinement pass is acceptable for higher fidelity. The v3.0 Quality tier raises geometry resolution to 2048³ and better preserves thin structures, sharp edges, and surface detail. For hero assets or demanding 3D printing work, v3.0 Master supports a 5 million face budget at 2048³. Higher detail requires more processing time.

Plan for tens of minutes rather than seconds when using v3.0 Master. Its slower processing supports the highest fidelity tier and a 5 million face geometry budget. For quicker iteration, start with v2.1 Fast or use v3.0 Quality before committing to a Master result.

First verify the image format, file size, account balance, and every required parameter in the selected endpoint schema. Multi view requests must include a front view, and all submitted images should depict the same object consistently. If the service is busy, reduce concurrent requests or retry later after checking the returned error details.