RFD 1016 details: the inventory table
Every model below is a deep learning model. Each one is packaged as its own model image, per RFD 1036. RFD 1033 lists the geometric algorithms.
| Model id | Task |
|---|---|
| trellis2_image_to_textured_mesh | Image to 3D |
| trellis2_image_mesh_painting | Image mesh painting |
| pixal3d_image_to_textured_mesh | Image to 3D (PBR) |
| p3sam_mesh_segmentation | Mesh segmentation |
| krea2_turbo_text_to_image | Text to image |
| qwen_q4_k_m_image_edit | Image editing |
| seethrough_layer_decomposition | Image to layers |
| kimodo_text_to_motion | Text to motion |
| skintokens_auto_rig | Auto rig (full) |
| voxhammer_text_mesh_editing | Text mesh editing |
| voxhammer_image_mesh_editing | Image mesh editing |
| weftspun_image_to_world | Image to world |
| lingbot_map_environment_scan | Environment scan |
| worldmirror2_reconstruct | Photos to splat |
| triposplat_image_to_splat | Image to splat |
Client and external models
The avatar from photo task runs on AvatarSDK, which is an external cloud service. The client stores the credentials in VITEAVATARSDK* variables. The WebXR expression tracking runs in the browser. Neither one is part of the model catalog.