Resolve open Fill Nodes issues

__init__.py

@@ -20,7 +20,7 @@ from .nodes.ai.FL_PixVerseAPI import FL_PixVerseAPI
 from .nodes.ai.FL_RunwayAct2 import FL_RunwayAct2
 from .nodes.ai.FL_RunwayImageAPI import FL_RunwayImageAPI
 
-# google-genai nodes — wrapped so a websockets version conflict doesn't kill the entire pack
+# google-genai nodes — wrapped so SDK import errors don't kill the entire pack
 _GENAI_NODES_AVAILABLE = True
 try:
     from .nodes.ai.FL_GeminiImageEditor import FL_GeminiImageEditor
@@ -28,10 +28,10 @@ try:
     from .nodes.ai.FL_GeminiTextAPI import FL_GeminiTextAPI
     from .nodes.ai.FL_VertexGemini25FlashImage import FL_VertexGemini25FlashImage
     from .nodes.ai.FL_VertexVeo3 import FL_Veo3VideoGen
-except ImportError as e:
+except Exception as e:
     _GENAI_NODES_AVAILABLE = False
-    logger.warning("Could not load Google Gemini/Vertex nodes: %s", e)
-    logger.info("Install google-genai with a compatible websockets version to enable these nodes.")
+    logger.warning("Skipping Google Gemini/Vertex nodes due to SDK/import incompatibility: %s", e)
+    logger.info("Install a compatible google-genai version to enable these nodes.")
 
 # API_TOOLS NODES
 from .nodes.api_tools.FL_API_Base64_ImageLoader import FL_API_Base64_ImageLoader

nodes/image/FL_ImagePicker.py

@@ -27,8 +27,8 @@ class FL_ImagePicker:
     a modal UI for the user to select which images to keep from a batch.
     """
 
-    RETURN_TYPES = ("IMAGE", "STRING")
-    RETURN_NAMES = ("selected_images", "selection_info")
+    RETURN_TYPES = ("IMAGE", "STRING", "STRING")
+    RETURN_NAMES = ("selected_images", "selection_info", "selected_indexes")
     FUNCTION = "select_images"
     CATEGORY = "🏵️Fill Nodes/Image"
 
@@ -69,7 +69,7 @@ class FL_ImagePicker:
         batch_size = images.shape[0]
 
         if batch_size == 0:
-            return (images, "No images in batch")
+            return (images, "No images in batch", "")
 
         # Generate a session ID for this selection
         session_id = f"{unique_id}_{uuid.uuid4().hex[:8]}"
@@ -157,16 +157,18 @@ class FL_ImagePicker:
         if selection is None or len(selection) == 0:
             # No selection - return all
             print(f"[FL_ImagePicker] No images selected. Returning all {batch_size} images.")
-            return (images, f"No selection: returned all {batch_size} images")
+            selected_indexes = ",".join(str(i) for i in range(batch_size))
+            return (images, f"No selection: returned all {batch_size} images", selected_indexes)
 
         # Filter to selected indices
         selected_indices = sorted(selection)
         selected_images = images[selected_indices]
 
         info = f"Selected {len(selected_indices)} of {batch_size} images: indices {selected_indices}"
+        selected_indexes = ",".join(str(i) for i in selected_indices)
         print(f"[FL_ImagePicker] {info}")
 
-        return (selected_images, info)
+        return (selected_images, info, selected_indexes)
 
 
 # API endpoint to receive selection from frontend

requirements.txt

@@ -20,7 +20,7 @@ kornia
 opencv-python
 gdown
 open_clip_torch
-google-genai
+google-genai>=1.66.0,<2.0.0
 google-cloud-storage
 fal-client
 runwayml