fixed: Even if the installation of the SAM2 dependency fails, the Impact Pack remains usable in a robust manner. Instead, a SAM2 installation guide is displayed.

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/1035#issuecomment-3044202981

modules/impact/config.py

@@ -1,7 +1,7 @@
 import configparser
 import os
 
-version_code = [8, 18]
+version_code = [8, 18, 1]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 24

modules/impact/core.py

@@ -2,7 +2,6 @@ import os
 import warnings
 
 import torch
-from sam2.sam2_image_predictor import SAM2ImagePredictor
 from segment_anything import SamPredictor
 
 from comfy_extras.nodes_custom_sampler import Noise_RandomNoise
@@ -25,9 +24,18 @@ from impact import impact_sampling
 from concurrent.futures import ThreadPoolExecutor
 import inspect
 from collections import OrderedDict
-from sam2.build_sam import build_sam2, build_sam2_video_predictor
 import torch.nn.functional as F
+import logging
+import sys
+import importlib
 
+is_sam2_available = importlib.util.find_spec("sam2")
+sam2_unavailable_message = f"\n----------------------------------------------------------------------------\n[Impact Pack] The SAM2 functionality is unavailable because the `facebook/sam2` dependency is not installed.\n\nInstallation command:\n{sys.executable} -m pip install git+https://github.com/facebookresearch/sam2\n----------------------------------------------------------------------------\n"
+if is_sam2_available:
+    from sam2.sam2_image_predictor import SAM2ImagePredictor
+    from sam2.build_sam import build_sam2, build_sam2_video_predictor
+else:
+    logging.warning(sam2_unavailable_message)
 
 try:
     from comfy_extras import nodes_differential_diffusion
@@ -653,6 +661,9 @@ class SAM2Wrapper:
                 self.video_predictor.to(device="cpu")
 
     def predict(self, image, points, plabs, bbox, threshold):
+        if not is_sam2_available:
+            raise Exception(sam2_unavailable_message)
+
         if self.image_predictor is None:
             self.image_predictor = SAM2ImagePredictor(build_sam2(self.config, self.modelname))
 
@@ -663,6 +674,9 @@ class SAM2Wrapper:
         return sam_predict(self.image_predictor, points, plabs, bbox, threshold)
 
     def predict_video_segs(self, image_frames, segs):
+        if not is_sam2_available:
+            raise Exception(sam2_unavailable_message)
+
         if self.video_predictor is None:
             self.video_predictor = build_sam2_video_predictor(self.config, self.modelname)
 
@@ -713,8 +727,6 @@ class SAM2Wrapper:
                 padding
             )
 
-            print(f"bbox={bbox} / adjusted_bbox={adjusted_bbox}")
-
             points = [utils.center_of_bbox(adjusted_bbox)]
             plabs = [1]
             self.video_predictor.add_new_points_or_box(inference_state=inference_state, frame_idx=0, obj_id=i, points=points, labels=plabs, box=adjusted_bbox)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "8.18"
+version = "8.18.1"
 license = { file = "LICENSE.txt" }
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]