| --- |
| license: mit |
| pipeline_tag: image-to-3d |
| tags: |
| - 3d-generation |
| - part-aware |
| - trellis |
| --- |
| |
| # KaiNinja |
|
|
| Weights of KaiNinja, a part-aware image-to-3D generator built on TRELLIS.2. |
|
|
| | File | Stage | Model | Weights | |
| |---|---|---|---| |
| | `stage1_layout_flow.safetensors` | Stage 1, dual-volume sparse-structure flow | `TriSparseStructureFlowModel` | step 75k | |
| | `stage2_slat_flow.safetensors` | Stage 2, dual-stream structured-latent flow | `TriSLatSeparateFlowModel` | EMA (0.9999), step 100k | |
|
|
| The matching `*.json` files hold the model constructor arguments. The shape decoder is the original |
| TRELLIS.2 one and is not included here. |
|
|
| ## Inference settings |
|
|
| - Stage 1: Euler flow sampler, 50 steps, classifier-free guidance 3.0; the two decoded volumes go |
| through overlap deduplication before Stage 2. |
| - Stage 2: Euler flow sampler, 50 steps, classifier-free guidance 3.0. |
| - Each volume is decoded with the TRELLIS.2 shape decoder; parts are the connected components within |
| each volume. |
|
|
| ## License |
|
|
| MIT, as the base model. |
|
|
