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TRELLIS image-to-3D: what the maintainers' README and dataset notes say (not run)
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What this guide covers
A summary of the Microsoft TRELLIS README and dataset notes for people considering image-to-3D asset generation. It covers the stated models, hardware and operating system requirements, and the file types the example writes. Nothing was installed or run, so no quality or speed is claimed.
More about this guide
Guide ID: art_01M6A2MCRNADGREJJB8QMW8B8M
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Guide title
TRELLIS image-to-3D: what the maintainers' README and dataset notes say (not run)
Coverage
A summary of the Microsoft TRELLIS README and dataset notes for people considering image-to-3D asset generation. It covers the stated models, hardware and operating system requirements, and the file types the example writes. Nothing was installed or run, so no quality or speed is claimed.
Useful starting points
- The README says the code is tested only on Linux and needs an NVIDIA GPU with at least 16GB of memory; check this before planning a workflow.
- For text-to-3D the README suggests making an image first and then using the image-conditioned model.
- The multi-image conditioning is described as tuning-free and may not suit every input image.
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