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  1. VAST-AI_TripoSG.json +62 -0
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+ {
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+ "bomFormat": "CycloneDX",
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+ "specVersion": "1.6",
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+ "serialNumber": "urn:uuid:eccf504b-0a4a-42d3-8bf1-710b6c0f850a",
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+ "version": 1,
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+ "metadata": {
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+ "timestamp": "2025-10-23T16:24:28.729052+00:00",
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+ "component": {
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+ "type": "machine-learning-model",
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+ "bom-ref": "VAST-AI/TripoSG-24698734-90ab-5c51-aeec-599c51de3ed3",
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+ "licenses": [
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+ {
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+ "license": {
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+ "id": "MIT",
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+ "url": "https://spdx.org/licenses/MIT.html"
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+ }
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+ }
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+ ],
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+ "externalReferences": [
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+ {
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+ "url": "https://huggingface.co/VAST-AI/TripoSG",
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+ "type": "documentation"
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+ }
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+ ],
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+ "modelCard": {
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+ "modelParameters": {
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+ "datasets": [],
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+ "task": "image-to-3d"
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+ },
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+ "properties": [
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+ {
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+ "name": "library_name",
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+ "value": "diffusers"
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+ }
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+ ],
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+ "consideration": {
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+ "useCases": "## Intended Uses\n\nThis model is designed for:\n- Converting single images to high-quality 3D meshes\n- Creative and design applications\n- Gaming and VFX asset creation\n- Prototyping and visualization\n"
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+ }
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+ },
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+ "name": "VAST-AI/TripoSG",
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+ "authors": [
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+ {
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+ "name": "VAST-AI"
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+ }
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+ ],
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+ "description": "## Model Description\n",
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+ "tags": [
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+ "diffusers",
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+ "safetensors",
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+ "triposg",
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+ "3d-generation",
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+ "rectified-flow",
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+ "image-to-3d",
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+ "arxiv:2502.06608",
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+ "license:mit",
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+ "diffusers:TripoSGPipeline",
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+ "region:us"
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+ ]
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+ }
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+ },
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+ "components": []
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+ }