add log

app.py

@@ -205,6 +205,10 @@ def preview_crop(image_path, npy_file, video_path, expand_x, expand_y, offset_x,
 def generate_video(input_img, should_crop_face, expand_x, expand_y, offset_x, offset_y, input_video_type, input_video, input_npy_select, input_npy, input_video_frames,
                    settings_steps, settings_cfg_scale, settings_seed, resolution_w, resolution_h,
                    model_step, custom_output_path, use_custom_fps, output_fps, callback_steps, context_frames, context_stride, context_overlap, context_batch_size, anomaly_action,intropolate_factor):
+    print("🚀 Generate Video started!")
+    print(f"   Input image: {input_img}")
+    print(f"   Video type: {input_video_type}")
+    
     config['resolution_w'] = resolution_w
     config['resolution_h'] = resolution_h
     config['video_length'] = input_video_frames
@@ -245,28 +249,36 @@ def generate_video(input_img, should_crop_face, expand_x, expand_y, offset_x, of
 
         input_img = cropped_image_path
 
-    status, oo_video_path, all_video_path = run_inference(
-        config_path=INFER_CONFIG_PATH,
-        model_path=MODEL_PATH,
-        input_path=input_img,
-        lmk_path=lmk_path,
-        output_path=output_path,
-        model_step=model_step,
-        seed=settings_seed,
-        resolution_w=resolution_w,
-        resolution_h=resolution_h,
-        video_length=input_video_frames,
-        num_inference_steps=settings_steps,
-        guidance_scale=settings_cfg_scale,
-        output_fps=output_fps,
-        callback_steps=callback_steps,
-        context_frames=context_frames,
-        context_stride=context_stride,
-        context_overlap=context_overlap,
-        context_batch_size=context_batch_size,
-        anomaly_action=anomaly_action,
-        interpolation_factor=intropolate_factor
-    )
+    try:
+        print("📞 Calling run_inference...")
+        status, oo_video_path, all_video_path = run_inference(
+            config_path=INFER_CONFIG_PATH,
+            model_path=MODEL_PATH,
+            input_path=input_img,
+            lmk_path=lmk_path,
+            output_path=output_path,
+            model_step=model_step,
+            seed=settings_seed,
+            resolution_w=resolution_w,
+            resolution_h=resolution_h,
+            video_length=input_video_frames,
+            num_inference_steps=settings_steps,
+            guidance_scale=settings_cfg_scale,
+            output_fps=output_fps,
+            callback_steps=callback_steps,
+            context_frames=context_frames,
+            context_stride=context_stride,
+            context_overlap=context_overlap,
+            context_batch_size=context_batch_size,
+            anomaly_action=anomaly_action,
+            interpolation_factor=intropolate_factor
+        )
+        print(f"✅ Inference completed! Status: {status}")
+    except Exception as e:
+        print(f"❌ Error in run_inference: {str(e)}")
+        import traceback
+        traceback.print_exc()
+        return f"Error: {str(e)}", None, None, None
 
 
     frames_archive = None