Image-to-3D
trellis-webgpu
lito-webgpu
webgpu
gaussian-splatting
File size: 385 Bytes
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This repository contains quantized derivative model files from Apple LiTo and
Microsoft TRELLIS. The derivative files were repacked and quantized for WebGPU
inference by Needle Tools GmbH. No retraining or fine-tuning was performed, and
no training data is included.

Apple Machine Learning Research Model is licensed under the Apple Machine
Learning Research Model License Agreement.