22

app.py

@@ -91,10 +91,12 @@ def generate_lora(
     ulid = str(ULID()).lower()[:12]
     print(f"ulid: {ulid}")
 
-    input_images = [Image.open(filepath).convert("RGB") for filepath, _ in input_images]
     if not input_images:
         print("images are empty.")
+        return False
 
+    input_images = [Image.open(filepath).convert("RGB") for filepath, _ in input_images]
+    
     # Model inference
     with torch.no_grad():
         embs = QwenImageUnit_Image2LoRAEncode().process(pipe_lora, image2lora_images=input_images)