{"schema":"record/v1","id":"art_01M5M9VC399PR5BN1GR1TWTG25","type":"article","revision":2,"etag":"\"r2.s0\"","title":"Which open image-to-3D and text-to-3D asset generators have released code and weights, and what file or representation does each one produce?","summary":"Corrected 2026-10-23 - see C3-B588-04; the original statements below are kept for history and are superseded where the correction says so. Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.","status":"active","body":{"text":"Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.\n\nCurator correction 2026-10-23 (discovery audit record C3-B588-04; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Correction (overstated range). C3-B080-W16-01 says hardware floors stated by the vendors range from about 6 GB to 24 GB. The pinned Hunyuan3D-2.1 README states 10 GB for shape generation, 21 GB for texture generation and 29 GB for shape plus texture in total; TRELLIS.2 states at least 24 GB. So the upper end of the stated range is 29 GB for Hunyuan3D-2.1's full pipeline, not 24 GB. Hunyuan3D-2 (earlier) states 6 GB for shape and 16 GB total. Version/date. Pinned commits fetched 2026-10-23.\n\nCurator qualifications: All excerpts located. Hunyuan3D-2.1 shape model size 3.3B vs 3.0B (two READMEs) kept unresolved.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/microsoft/TRELLIS.2/blob/75fbf0183001ed9876c8dbb35de6b68552ee08bd/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2/blob/f8db63096c8282cb27354314d896feba5ba6ff8a/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1/blob/82920d643c0dc2f7bfd7255f45f62d386edfe60c/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-fast-3d/blob/ff21fc491b4dc5314bf6734c7c0dabd86b5f5bb2/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-point-aware-3d/blob/fdc311b16809e6a8adc2f5a3407ebb3db1a95bd1/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSR/blob/107cefdc244c39106fa830359024f6a2f1c78871/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSG/blob/fc5c40990181e2a756c4e0b1c2f4d6b5202faf8c/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/tencent/Hunyuan3D-2.1/raw/0b94677654c57bb9a6b6845cd7b704ccf551d327/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS-text-xlarge/raw/e0b00432b8e3a8ecee0df806ab1df9f7281f2be4/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS.2-4B/raw/af44b45f2e35a493886929c6d786e563ec68364d/README.md","note":"candidate evidence excerpts"}]},"categories":["T09","T15","T16"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md","claim":"Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.","locator":"candidate evidence excerpts","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-1c1b7c1d0b3ed5bba630291008cf2875cbbca20f/record.json#p-1c1b7c1d0b3ed5bba630291008cf2875cbbca20f/record","import_batch_id":"pipe-cd7f28c3bced9288dcd15b8ba077e4422439ec0e","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-cd7f28c3bced9288dcd15b8ba077e4422439ec0e","original":{"body":{"text":"Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.\n\nCurator qualifications: All excerpts located. Hunyuan3D-2.1 shape model size 3.3B vs 3.0B (two READMEs) kept unresolved.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/microsoft/TRELLIS.2/blob/75fbf0183001ed9876c8dbb35de6b68552ee08bd/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2/blob/f8db63096c8282cb27354314d896feba5ba6ff8a/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1/blob/82920d643c0dc2f7bfd7255f45f62d386edfe60c/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-fast-3d/blob/ff21fc491b4dc5314bf6734c7c0dabd86b5f5bb2/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-point-aware-3d/blob/fdc311b16809e6a8adc2f5a3407ebb3db1a95bd1/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSR/blob/107cefdc244c39106fa830359024f6a2f1c78871/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSG/blob/fc5c40990181e2a756c4e0b1c2f4d6b5202faf8c/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/tencent/Hunyuan3D-2.1/raw/0b94677654c57bb9a6b6845cd7b704ccf551d327/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS-text-xlarge/raw/e0b00432b8e3a8ecee0df806ab1df9f7281f2be4/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS.2-4B/raw/af44b45f2e35a493886929c6d786e563ec68364d/README.md","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"Which open image-to-3D and text-to-3D asset generators have released code and weights, and what file or representation does each one produce?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.","evidence":{"claims":[{"url":"https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md","claim":"Eight open releases were read at pinned commits. Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.","locator":"candidate evidence excerpts","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T09","T15","T16"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":5,"topic_ids":["CAT:T06.AIC.11","CAT:WM.10"],"confidence":"Not stated; see limitations.","limitations":["Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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Only Microsoft TRELLIS (text-base/large/xlarge) ships text-conditioned weights, and its README itself says to prefer text-to-image followed by TRELLIS-image. TRELLIS emits Gaussians, radiance fields and meshes (GLB/PLY export in the README example); TRELLIS.2 emits a mesh with PBR maps (GLB); Hunyuan3D 2.x emits a trimesh shape then a separate texturing stage (2.1 adds PBR); SF3D and SPAR3D emit UV-unwrapped GLB with material parameters; TripoSR emits a mesh (vertex colours or optional baked texture); TripoSG emits an untextured shape (GLB). Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.\n\nCurator correction 2026-10-23 (discovery audit record C3-B588-04; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Correction (overstated range). C3-B080-W16-01 says hardware floors stated by the vendors range from about 6 GB to 24 GB. The pinned Hunyuan3D-2.1 README states 10 GB for shape generation, 21 GB for texture generation and 29 GB for shape plus texture in total; TRELLIS.2 states at least 24 GB. So the upper end of the stated range is 29 GB for Hunyuan3D-2.1's full pipeline, not 24 GB. Hunyuan3D-2 (earlier) states 6 GB for shape and 16 GB total. Version/date. Pinned commits fetched 2026-10-23.\n\nCurator qualifications: All excerpts located. Hunyuan3D-2.1 shape model size 3.3B vs 3.0B (two READMEs) kept unresolved.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/microsoft/TRELLIS.2/blob/75fbf0183001ed9876c8dbb35de6b68552ee08bd/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2/blob/f8db63096c8282cb27354314d896feba5ba6ff8a/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1/blob/82920d643c0dc2f7bfd7255f45f62d386edfe60c/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-fast-3d/blob/ff21fc491b4dc5314bf6734c7c0dabd86b5f5bb2/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/Stability-AI/stable-point-aware-3d/blob/fdc311b16809e6a8adc2f5a3407ebb3db1a95bd1/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSR/blob/107cefdc244c39106fa830359024f6a2f1c78871/README.md","note":"candidate evidence excerpts"},{"url":"https://github.com/VAST-AI-Research/TripoSG/blob/fc5c40990181e2a756c4e0b1c2f4d6b5202faf8c/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/tencent/Hunyuan3D-2.1/raw/0b94677654c57bb9a6b6845cd7b704ccf551d327/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS-text-xlarge/raw/e0b00432b8e3a8ecee0df806ab1df9f7281f2be4/README.md","note":"candidate evidence excerpts"},{"url":"https://huggingface.co/microsoft/TRELLIS.2-4B/raw/af44b45f2e35a493886929c6d786e563ec68364d/README.md","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"Which open image-to-3D and text-to-3D asset generators have released code and weights, and what file or representation does each one produce?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Corrected 2026-10-23 - see C3-B588-04; the original statements below are kept for history and are superseded where the correction says so. 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Hardware floors stated by the vendors range from about 6 GB to 24 GB of GPU memory.","locator":"candidate evidence excerpts","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T09","T15","T16"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":6,"topic_ids":["CAT:T06.AIC.11","CAT:WM.10"],"confidence":"Not stated; see limitations.","limitations":["Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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