Upload folder using huggingface_hub

predict.py

@@ -192,14 +192,13 @@ def predict_next_frame(ens, context_frames: np.ndarray) -> np.ndarray:
 
         ens.reset_cache()
 
-        # Strict static detection: ALL 7 consecutive pairs must have diff < 1/255
-        all_static = True
-        for i in range(len(frames) - 1):
-            diff = np.abs(frames[i].astype(np.float32) - frames[i + 1].astype(np.float32)).mean()
-            if diff >= 1.0 / 255.0:
-                all_static = False
-                break
-        if all_static:
+        # Medium static detection: all frames vs first frame, max diff < 2/255
+        max_diff = 0
+        first_frame = frames[0]
+        for i in range(1, len(frames)):
+            diff = np.abs(frames[i].astype(np.float32) - first_frame.astype(np.float32)).mean()
+            max_diff = max(max_diff, diff)
+        if max_diff < 2.0 / 255.0:
             last_ctx_uint8 = (last_frame * 255).clip(0, 255).astype(np.uint8)
             ens.direct_cache = [last_ctx_uint8.copy() for _ in range(PRED_FRAMES)]
             result = ens.direct_cache[ens.cache_step]