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Texture Studio native material model

Model name: Displacement Base

Target: height. Every training map uses its declared native grid without padding or resizing. The app evaluates this numeric checkpoint with Apple MPSGraph in Float32. This DepthPro Height Refiner trains every weight from scratch and includes the complete one-channel refiner weights. It consumes cached normalized inverse DepthPro depth and predicts original material height. Production first requires the matching DepthPro Core ML model identified by SHA-256 e62c68496d25c76e099fbbcfb7a39814a201a1f2d9a6a9411e37feec2d5d94ec; those upstream weights are not included. Input preparation uses texture-studio-depthpro-inverse-depth-v1. Source images and an interpreter are not included. Visual review is required before choosing a model.

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Safetensors

Model size

999k params

Tensor type

F32

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