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Simplify language of tooltips.
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@ -258,16 +258,17 @@ class DA3Inference(io.ComfyNode):
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options=["saddle_balanced", "saddle_sim_range",
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"first", "middle"],
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default="saddle_balanced",
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tooltip="Which view to use as the geometric anchor (only applied when S >= 3 and no extrinsics are provided).\n"
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"- saddle_balanced: picks the view whose CLS-token features are closest to the median across similarity, norm and variance — best general choice.\n"
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"- saddle_sim_range: picks the view with the widest similarity spread to other views — favours the most distinct viewpoint.\n"
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"- first / middle: deterministic positional fallbacks."),
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tooltip="Which view acts as the geometric anchor (only when S >= 3 and no extrinsics provided).\n"
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"- saddle_balanced: the view most 'average' across all others — best general choice.\n"
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"- saddle_sim_range: the view most visually distinct from the others.\n"
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"- first / middle: fixed positional picks."),
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io.Combo.Input("pose_method",
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options=["cam_dec", "ray_pose"],
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default="cam_dec",
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tooltip="This seeting is ignored for Mono/Metric models."
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"- cam_dec: small MLP on the final camera token.\n"
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"- ray_pose: RANSAC over the DualDPT ray output."),
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tooltip="How the camera field-of-view is estimated (ignored on Mono/Metric models).\n"
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"- cam_dec: learned from image features.\n"
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"- ray_pose: derived geometrically from the model's 3-D ray output.\n"
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"Affects perspective correctness of the 3-D output. Try both if results look distorted."),
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]),
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]),
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],
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@ -397,6 +398,8 @@ class DA3Inference(io.ComfyNode):
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class DA3Render(io.ComfyNode):
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"""Render a visualization from a DA3_GEOMETRY packet."""
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_DEPTH_RENDER_INPUTS = [
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io.Combo.Input("normalization",
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options=["v2_style", "min_max", "raw"],
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