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WT-MM/lingbot-depth-mlx
lingbot-depth-mlx is a depth estimation model from WT-MM. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
MLX weights for LingBot-Depth (mdm), pre-converted for the mlx-native backend of lingbot-depth-viz.
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From the Hugging Face model README
MLX weights for LingBot-Depth (mdm),
pre-converted for the mlx-native backend of
lingbot-depth-viz.
These are the original robbyant/lingbot-depth-pretrain-vitl-14-v0.5 weights,
converted to MLX safetensors with the position embeddings precomputed, so the
whole model runs on Apple Silicon through mlx.core alone. Hosting them lets the
torch-free install run without downloading the torch checkpoint or running the
conversion:
uv sync --extra mlx
uv run lingbot-depth-viz --backend mlx-native --mode benchmark
# weights.safetensors is fetched from here on first run
weights.safetensors — MLX arrays (bf16 encoder, fp32 decoder) plus precomputed
position embeddings.config.json — model dims and preprocessing constants read by the runtime.Produced by --mode convert-mlx (converter_version 1). Parity vs torch-MPS is
0.27–0.48% AbsRel end-to-end. See the repo's results/mlx-backend.md.