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zero123plus【部署与运维】Guides Zero123Plus generation, ControlNet variants, demo launch, and Cog deployment workflows for single-image-to-multiview inference.
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Use this skill when the task mentions Zero123Plus, single-image-to-multiview inference, depth ControlNet, normal generation, matting cleanup, Streamlit, Gradio, Docker/Gitpod, or Cog/Replicate deployment.
references/dependency-and-runtime.md:
verified Python/runtime stack, CUDA expectations, and install recipe.references/troubleshooting.md:
cross-cutting install/import/cache/backend issues and where to go next.references/repo-provenance.md:
snapshot of the source checkout used to build this skill.scripts/check_zero123plus_env.py:
safe environment checker for torch, CUDA, and the bundled optional modules.sub-skills/generation/SKILL.md.sub-skills/deployment/SKILL.md.This repository is GPU-first. The verified inspection stack used Python 3.11 and CUDA-capable PyTorch.
A representative setup is:
references/dependency-and-runtime.md.python scripts/check_zero123plus_env.py --check-only or
--require-cuda before a real generation run.If you only need the generation path, start with the generation sub-skill. If you need local demos or deployment, start with the deployment sub-skill.
python scripts/check_zero123plus_env.py --check-onlypython scripts/check_zero123plus_env.py --require-cuda--allow-download
before they fetch missing model weights.