diff --git a/mlx_video/models/ltx_2/upsampler.py b/mlx_video/models/ltx_2/upsampler.py
index 9ede781..1056687 100644
--- a/mlx_video/models/ltx_2/upsampler.py
+++ b/mlx_video/models/ltx_2/upsampler.py
@@ -401,13 +401,17 @@ def load_upsampler(weights_path: str) -> Tuple[LatentUpsampler, float]:
         mid_channels = 1024
 
     # Detect upsampler type from conv output channels
-    # x2 uses sequential: upsampler.0.weight (4*mid out channels)
-    # x1.5 uses named: upsampler.conv.weight (9*mid out channels) + upsampler.blur_down.kernel
-    rational_resampler = "upsampler.blur_down.kernel" in raw_weights
-    if rational_resampler:
-        # x1.5: conv out = 9 * mid_channels (3^2 * mid for PixelShuffle(3))
-        spatial_scale = 1.5
+    # x2: conv out = 4 * mid (2^2 * mid for PixelShuffle(2))
+    # x1.5: conv out = 9 * mid (3^2 * mid for PixelShuffle(3)) + blur downsample
+    # Both formats may have upsampler.blur_down.kernel, so use channel count
+    conv_key = "upsampler.conv.weight" if "upsampler.conv.weight" in raw_weights else "upsampler.0.weight"
+    if conv_key in raw_weights:
+        out_channels = raw_weights[conv_key].shape[0]
+        ratio = out_channels // mid_channels
+        rational_resampler = ratio == 9  # 3^2 for PixelShuffle(3) + blur downsample
+        spatial_scale = 1.5 if rational_resampler else 2.0
     else:
+        rational_resampler = False
         spatial_scale = 2.0
 
     print(f"  Detected: mid_channels={mid_channels}, scale={spatial_scale}x, rational={rational_resampler}")