diff --git a/pyproject.toml b/pyproject.toml
index 8ed2fd22..1d22ddaa 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,7 +27,7 @@ dynamic = [ "version" ]
 dependencies = [
   "dask-image",
   "matplotlib>=3.3",
-  "napari==0.6.6",
+  "napari>=0.6.6",
   "natsort",
   "numpy>=1.18.5,<2",
   "opencv-python-headless",
diff --git a/src/napari_deeplabcut/_tests/compat/test_compat_internal.py b/src/napari_deeplabcut/_tests/compat/test_compat_internal.py
index 47ec907b..73269ffb 100644
--- a/src/napari_deeplabcut/_tests/compat/test_compat_internal.py
+++ b/src/napari_deeplabcut/_tests/compat/test_compat_internal.py
@@ -140,7 +140,7 @@ class Keypoint:
     paste(layer)
 
     assert recolor_calls == []
-    # features are popped before the early return; smoke test just checks no crash/no recolor
+    # Smoke test: no paste, no refresh, no recolor when all keypoints are already annotated.
 
 
 def test_make_paste_data_pastes_only_unannotated_points_and_recolors(paste_env):
@@ -179,3 +179,60 @@ def test_make_paste_data_pastes_only_unannotated_points_and_recolors(paste_env):
     assert layer._selected_data == {1}
     assert layer.refresh_count == 1
     assert paste_env.recolor_calls == [paste_env.store.layer]
+
+
+def test_make_paste_data_handles_scalar_text_payload(paste_env):
+    """
+    napari 0.7.0 may store copied Points text as a scalar / 0-d array,
+    for example np.array("", dtype="<U1"), rather than one string per point.
+
+    Our paste compat code must not index that scalar with the unannotated mask.
+    """
+    paste_env.layer._clipboard["text"] = {
+        "string": np.array("", dtype="<U1"),
+        "color": "white",
+    }
+
+    paste = make_paste_data(paste_env.controls, store=paste_env.store)
+    paste(paste_env.layer)
+
+    layer = paste_env.layer
+
+    # Smoke check: paste succeeded and only the unannotated point was pasted.
+    assert layer._data.shape == (2, 3)
+
+    assert len(layer.text.calls) == 1
+    assert layer.text.calls[0]["color"] == "white"
+
+    pasted_string = layer.text.calls[0]["string"]
+    assert isinstance(pasted_string, np.ndarray)
+    assert pasted_string.shape == ()
+    assert pasted_string.item() == ""
+
+    assert layer.refresh_count == 1
+    assert paste_env.recolor_calls == [paste_env.store.layer]
+
+
+def test_make_paste_data_preserves_text_payload_when_text_length_does_not_match_mask(paste_env):
+    """
+    If napari changes the shape of text["string"], paste should stay defensive:
+    only mask per-point text arrays whose length matches the feature mask.
+    """
+    paste_env.layer._clipboard["text"] = {
+        "string": np.array(["unexpected-only-one"], dtype=object),
+        "color": "white",
+    }
+
+    paste = make_paste_data(paste_env.controls, store=paste_env.store)
+    paste(paste_env.layer)
+
+    layer = paste_env.layer
+
+    assert layer._data.shape == (2, 3)
+
+    assert len(layer.text.calls) == 1
+    np.testing.assert_array_equal(
+        layer.text.calls[0]["string"],
+        np.array(["unexpected-only-one"], dtype=object),
+    )
+    assert layer.text.calls[0]["color"] == "white"
diff --git a/src/napari_deeplabcut/napari_compat/color.py b/src/napari_deeplabcut/napari_compat/color.py
index c307dffc..154a4382 100644
--- a/src/napari_deeplabcut/napari_compat/color.py
+++ b/src/napari_deeplabcut/napari_compat/color.py
@@ -1,3 +1,4 @@
+# src/napari_deeplabcut/napari_compat/color.py
 from __future__ import annotations
 
 import logging
@@ -7,30 +8,70 @@
 
 def patch_color_manager_guess_continuous() -> None:
     """
-    Napari-compat patch: override color_manager.guess_continuous.
-    By default :
-    The property is guessed as continuous if it is a float or contains over 16 elements.
-    We override this to guess continuous only if it is a float,
-    to avoid issues with categorical properties with many categories (e.g. body parts).
-
-    - Uses try/except around private imports.
-    - If napari internals change, we log and no-op.
+    Napari-compat patch: override guess_continuous so that only floating
+    dtypes are treated as continuous.
+
+    Why:
+    Napari historically guessed "continuous" for floats OR integer arrays
+    with many unique values, which is problematic for categorical features
+    like body-part labels.
+
+    Compatibility:
+    - Supports old napari calls: guess_continuous(color_map)
+    - Supports newer napari calls: guess_continuous(color_map, feature_name)
+    - Gracefully no-ops if napari internals move again
     """
     try:
         import numpy as np
+    except Exception as e:  # pragma: no cover
+        logger.debug("Skipping color_manager patch (numpy import failed): %r", e)
+        return
+
+    targets = []
+
+    try:
         from napari.layers.utils import color_manager
+
+        targets.append(("napari.layers.utils.color_manager", color_manager))
+    except Exception as e:  # pragma: no cover
+        logger.debug("Could not import napari.layers.utils.color_manager: %r", e)
+
+    try:
+        from napari.layers.utils import color_manager_utils
+
+        targets.append(("napari.layers.utils.color_manager_utils", color_manager_utils))
     except Exception as e:  # pragma: no cover
-        logger.debug("Skipping color_manager patch (napari import failed): %r", e)
+        logger.debug("Could not import napari.layers.utils.color_manager_utils: %r", e)
+
+    if not targets:
+        logger.debug("Skipping color_manager patch (no compatible napari module found)")
         return
 
-    def guess_continuous(property_):
+    def guess_continuous(color_map, feature_name=None, *args, **kwargs):
+        """
+        Treat only floating dtypes as continuous.
+
+        Parameters
+        ----------
+        color_map : array-like
+            Feature/property values.
+        feature_name : str | None
+            Accepted for compatibility with newer napari versions.
+        *args, **kwargs
+            Ignored for forward compatibility.
+        """
         try:
-            return issubclass(property_.dtype.type, np.floating)
+            dtype = getattr(color_map, "dtype", None)
+            if dtype is None:
+                color_map = np.asarray(color_map)
+                dtype = color_map.dtype
+            return np.issubdtype(dtype, np.floating)
         except Exception:  # pragma: no cover
             return False
 
-    try:
-        color_manager.guess_continuous = guess_continuous
-    except Exception as e:  # pragma: no cover
-        logger.debug("Skipping color_manager patch (assignment failed): %r", e)
-        return
+    for module_name, module in targets:
+        try:
+            module.guess_continuous = guess_continuous
+            logger.debug("Patched %s.guess_continuous", module_name)
+        except Exception as e:  # pragma: no cover
+            logger.debug("Skipping patch for %s (assignment failed): %r", module_name, e)
diff --git a/src/napari_deeplabcut/napari_compat/points_layer.py b/src/napari_deeplabcut/napari_compat/points_layer.py
index 5ab69d21..ad263899 100644
--- a/src/napari_deeplabcut/napari_compat/points_layer.py
+++ b/src/napari_deeplabcut/napari_compat/points_layer.py
@@ -94,6 +94,9 @@ def _get_current_slice_point(controls: Any, layer: Any) -> tuple | Any | None:
     except Exception:
         pass
 
+    if hasattr(layer, "_data_slice"):
+        return layer._data_slice
+
     if hasattr(layer, "_slice_indices"):
         return layer._slice_indices
 
@@ -104,6 +107,99 @@ def _get_current_slice_point(controls: Any, layer: Any) -> tuple | Any | None:
     return None
 
 
+def _select_pasted_points(
+    layer: Any,
+    *,
+    data_start: int,
+    view_start: int,
+    count: int,
+) -> None:
+    """
+    Select newly pasted points compatibly across napari versions.
+
+    In napari 0.7.0, Points._selected_view is a read-only property backed by
+    layer._slicing_state._selected_view. Older/fake layers may expose
+    _selected_view directly.
+    """
+    if count <= 0:
+        return
+
+    selected_data = set(range(data_start, data_start + count))
+    selected_view = list(range(view_start, view_start + count))
+
+    # napari 0.7.0 behavior: update the private Selection directly.
+    # This mirrors Points._paste_data().
+    try:
+        private_selected_data = getattr(layer, "_selected_data", None)
+        if private_selected_data is not None and hasattr(private_selected_data, "update"):
+            private_selected_data.update(selected_data)
+        elif hasattr(layer, "_selected_data"):
+            layer._selected_data = selected_data
+        else:
+            layer.selected_data = selected_data
+    except Exception:
+        logger.debug("Failed to update selected data after paste", exc_info=True)
+
+    # napari 0.7.0: _selected_view lives on the slicing state.
+    try:
+        slicing_state = getattr(layer, "_slicing_state", None)
+        if slicing_state is not None and hasattr(slicing_state, "_selected_view"):
+            slicing_state._selected_view = selected_view
+            return
+    except Exception:
+        logger.debug("Failed to update slicing-state selected view after paste", exc_info=True)
+
+    # Test-layer / older-private fallback.
+    try:
+        if hasattr(layer, "_selected_view"):
+            layer._selected_view = selected_view
+    except Exception:
+        logger.debug("Failed to update selected view after paste", exc_info=True)
+
+
+def _filter_text_payload(text: Any, mask: list[bool]) -> dict[str, Any] | None:
+    """
+    Filter a napari Points text clipboard payload.
+
+    napari may store text["string"] as either:
+    - a per-point array, e.g. array(["tail-2", "nose-1"], dtype=object)
+    - a scalar / 0-d array, e.g. array("", dtype="<U1")
+
+    Only per-point arrays can be indexed with the pasted-point mask.
+    """
+    if text is None:
+        return None
+
+    try:
+        text_string = text.get("string")
+    except Exception:
+        return text
+
+    filtered = dict(text)
+
+    try:
+        string_array = np.asarray(text_string)
+
+        if string_array.ndim == 0:
+            # Scalar text payload, e.g. empty string. Keep as-is.
+            filtered["string"] = text_string
+        elif len(string_array) == len(mask):
+            filtered["string"] = string_array[mask]
+        else:
+            # Unexpected length. Keep as-is rather than crashing paste.
+            logger.debug(
+                "Text clipboard string length %s does not match mask length %s; keeping text unchanged.",
+                len(string_array),
+                len(mask),
+            )
+            filtered["string"] = text_string
+    except Exception:
+        logger.debug("Failed to filter text clipboard payload", exc_info=True)
+        filtered["string"] = text_string
+
+    return filtered
+
+
 def _get_clipboard_slice_point(indices: Any) -> Any:
     """Extract the copied slice point from old/new napari clipboard payloads."""
     if hasattr(indices, "point"):
@@ -350,18 +446,16 @@ def _paste_data(layer_self, _store=store):
         filtered_clipboard["features"] = new_features
         filtered_clipboard["indices"] = indices
 
-        if text is not None:
-            filtered_clipboard["text"] = {
-                "string": text["string"][unannotated],
-                "color": text["color"],
-            }
+        filtered_text = _filter_text_payload(text, unannotated)
+        if filtered_text is not None:
+            filtered_clipboard["text"] = filtered_text
 
         layer_self._clipboard = filtered_clipboard
 
         if not filtered_clipboard:
             return
 
-        npoints = len(layer_self._view_data)
+        npoints_view = len(layer_self._view_data)
         totpoints = len(layer_self.data)
 
         data = _offset_pasted_data(
@@ -382,8 +476,14 @@ def _paste_data(layer_self, _store=store):
         _paste_colors(layer_self, filtered_clipboard)
 
         n_new = len(filtered_clipboard["data"])
-        layer_self._selected_view = list(range(npoints, npoints + n_new))
-        layer_self._selected_data = set(range(totpoints, totpoints + n_new))
+
+        _select_pasted_points(
+            layer_self,
+            data_start=totpoints,
+            view_start=npoints_view,
+            count=n_new,
+        )
+
         layer_self.refresh()
 
         try: