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Improve tooltips.
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@ -169,16 +169,11 @@ class DepthAnything3Inference(io.ComfyNode):
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io.Combo.Input("resize_method",
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options=["upper_bound_resize", "lower_bound_resize"],
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default="upper_bound_resize",
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tooltip="upper_bound_resize: scale so the longest side = process_res "
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"(caps memory, default). "
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"lower_bound_resize: scale so the shortest side = process_res "
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"(preserves more detail on tall/wide images, uses more memory)."),
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tooltip="- upper_bound_resize: scale so the longest side = process_res (caps memory, default).\n"
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"- lower_bound_resize: scale so the shortest side = process_res (preserves more detail on tall/wide images, uses more memory)."),
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io.DynamicCombo.Input("mode",
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tooltip="mono: single image or independent batch — "
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"use with any model. "
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"multiview: all frames processed together with "
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"cross-view attention for geometric consistency; "
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"also outputs camera pose — requires DA3-Small or DA3-Base.",
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tooltip="- mono: single image or independent batch — use with any model.\n"
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"- multiview: all frames processed together with cross-view attention for geometric consistency; also outputs camera pose — requires DA3-Small or DA3-Base.",
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options=[
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io.DynamicCombo.Option("mono", []),
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io.DynamicCombo.Option("multiview", [
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@ -186,35 +181,23 @@ class DepthAnything3Inference(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 "
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"(only applied when S >= 3 and no extrinsics "
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"are provided). "
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"saddle_balanced: picks the view whose CLS-token "
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"features are closest to the median across "
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"similarity, norm and variance — best general "
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"choice. "
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"saddle_sim_range: picks the view with the widest "
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"similarity spread to other views — favours "
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"the most distinct viewpoint. "
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"first / middle: deterministic positional fallbacks."),
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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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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="cam_dec: small MLP on the final camera token "
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"(DA3-Small/Base). "
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"ray_pose: RANSAC over the DualDPT ray output "
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"(DA3-Small/Base only)."),
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tooltip="- cam_dec: small MLP on the final camera token (DA3-Small/Base).\n"
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"- ray_pose: RANSAC over the DualDPT ray output (DA3-Small/Base only)."),
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]),
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]),
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],
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outputs=[
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DA3Geometry.Output("geometry",
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tooltip="DA3_GEOMETRY dict of raw tensors. "
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"Always: 'depth' (B,H,W), 'image', 'mode'. "
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"Optional: 'sky' + 'mask' (Mono/Metric), "
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"'confidence' raw (Small/Base), "
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"'extrinsics' + 'intrinsics' (multi-view). "
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"Feed into DepthAnything3Render or MoGeRender."),
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tooltip="DA3_GEOMETRY dict of raw tensors.\n"
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"- Always: 'depth' (B,H,W), 'image', 'mode'.\n"
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"- Optional: 'sky' + 'mask' (Mono/Metric), 'confidence' raw (Small/Base), 'extrinsics' + 'intrinsics' (multi-view)."),
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],
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)
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@ -335,9 +318,9 @@ class DepthAnything3Render(io.ComfyNode):
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io.Combo.Input("normalization",
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options=["v2_style", "min_max", "raw"],
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default="v2_style",
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tooltip="'v2_style': mean/std normalisation for perceptually balanced results (default). "
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"'min_max': stretches the full depth range to [0, 1] for maximum contrast. "
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"'raw': no scaling — preserves metric units for DA3-Metric-Large."),
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tooltip="- v2_style: mean/std normalisation for perceptually balanced results (default).\n"
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"- min_max: stretches the full depth range to [0, 1] for maximum contrast.\n"
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"- raw: no scaling — preserves metric units for DA3-Metric-Large."),
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io.Boolean.Input("apply_sky_clip", default=False,
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tooltip="Clip sky-region depth to the 99th percentile of foreground depth before "
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"normalisation. Requires a 'sky' tensor in the geometry "
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@ -354,10 +337,10 @@ class DepthAnything3Render(io.ComfyNode):
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inputs=[
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DA3Geometry.Input("geometry"),
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io.DynamicCombo.Input("output",
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tooltip="depth: normalised greyscale depth image. "
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"depth_colored: depth mapped through the Turbo colormap. "
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"sky_mask: sky probability in [0, 1] (Mono/Metric variants only). "
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"confidence: normalised depth confidence (Small/Base variants only).",
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tooltip="- depth: normalised greyscale depth image.\n"
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"- depth_colored: depth mapped through the Turbo colormap.\n"
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"- sky_mask: sky probability in [0, 1] (Mono/Metric variants only).\n"
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"- confidence: normalised depth confidence (Small/Base variants only).",
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options=[
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io.DynamicCombo.Option("depth", cls._DEPTH_RENDER_INPUTS),
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io.DynamicCombo.Option("depth_colored", cls._DEPTH_RENDER_INPUTS),
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