{"adoption": {"forks": 587, "observed_at": "2026-08-28T04:08:28.935027+00:00", "stars": 3917}, "canonical_url": "https://ross.abutalabs.com/products/hunyuan3d-21", "card": {"archived": false, "artifact_type": "library", "description": "From Images to High-Fidelity 3D Assets with Production-Ready PBR Material", "domain": ["artificial-intelligence", "deep-learning", "graphics"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "graphics", "llm-inference"], "health_score": 48, "homepage": "https://3d.hunyuan.tencent.com/", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["Tencent-Hunyuan/Hunyuan3D-2.1"], "name": "Tencent-Hunyuan/Hunyuan3D-2.1", "platform": ["python"], "pushed_at": "2025-10-17T10:10:07+00:00", "repo": "Tencent-Hunyuan/Hunyuan3D-2.1", "stars": 3917, "tags": ["3d-generation", "image-to-3d", "text-to-3d", "pbr-materials", "texture-generation", "diffusion-model", "hunyuan3d", "aigc", "game-development", "gpu", "linux", "docker"], "topics": ["3d", "3d-aigc", "3d-generation", "hunyuan3d", "image-to-3d", "shape", "shape-generation", "text-to-3d", "texture-genertaion"], "urls": [], "use_cases": ["generate 3d models from images", "create game assets from a single photo", "text to 3d mesh generation", "generate pbr textured 3d assets", "build 3d models for ar/vr applications", "automate 3d asset creation pipeline"], "what_it_is": "Tencent's open-source 3D asset generation model that creates high-fidelity 3D meshes with production-ready PBR materials from single images or text prompts. It is a Python-based deep learning system released with pretrained weights on Hugging Face.", "when_to_avoid": ["you need precise, CAD-quality parametric modeling rather than generated meshes", "you lack a GPU or cannot run large diffusion models locally", "you need permissively licensed assets for commercial use without checking the custom license"], "when_to_choose": ["you need production-ready 3D assets with PBR textures from images or text", "you want an open-source state-of-the-art image-to-3D model with pretrained weights", "you need programmable 3D generation integrated into a Python or ComfyUI pipeline"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/hunyuan3d-21", "repo": "Tencent-Hunyuan/Hunyuan3D-2.1", "role": "main", "score": 40}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.935027+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:25:02.217674+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f5022fe78acc3e778d22e8e89ad07a056650176657c8a48cfdd3b19a96b2c73f", "fetched_at": "2026-08-28T04:08:28.935027+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:18:52.960931+00:00", "kind": "homepage", "missing": false, "url": "https://3d.hunyuan.tencent.com/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 47, "longevity": 31, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 446, "days_push": 320, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 40, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}