计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
shape-generation【效率与协作】Operate Hunyuan3D-2 image-to-shape, multiview, turbo, FlashVDM, and mesh export workflows.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when the task is about Hunyuan3D-DiT geometry generation: single-image to mesh, multiview to mesh, mini/fast/turbo model variants, FlashVDM, seeds, octree settings, output formats, or VAE/latent shape workflows.
hy3dgen.shapegen.Hunyuan3DDiTFlowMatchingPipeline and generating a trimesh mesh.tencent/Hunyuan3D-2, tencent/Hunyuan3D-2mini, tencent/Hunyuan3D-2mv, and Hunyuan3D-2.1-compatible subfolders.front, back, left, and right keys.mc_algo, octree_resolution, num_chunks, guidance_scale, seed, and export troubleshooting.../texture-and-mesh/.../services-and-integrations/.../environment-and-model-setup/.--dry-run and lazy heavy imports. Use it to prepare or run shape generation without depending on the original repository examples.Example dry-run:
python scripts/generate_shape.py --preset base --image input.png --output mesh.glb --dry-run
python scripts/generate_shape.py --preset mv --view front=front.png --view left=left.png --output mesh.glb --dry-run
Actual generation requires a CUDA-capable Hunyuan3D environment and model weights. CPU-only imports or dry-runs are not proof that shape generation works.