diff --git a/timm/models/resnet.py b/timm/models/resnet.py
index 6893bc5b..7eabc1fd 100644
--- a/timm/models/resnet.py
+++ b/timm/models/resnet.py
@@ -399,6 +399,7 @@ class ResNet(nn.Module):
             block_reduce_first: int = 1,
             down_kernel_size: int = 1,
             avg_down: bool = False,
+            channels: Optional[Tuple[int, ...]] = (64, 128, 256, 512),
             act_layer: LayerType = nn.ReLU,
             norm_layer: LayerType = nn.BatchNorm2d,
             aa_layer: Optional[Type[nn.Module]] = None,
@@ -489,7 +490,6 @@ class ResNet(nn.Module):
                 self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
 
         # Feature Blocks
-        channels = (64, 128, 256, 512)
         stage_modules, stage_feature_info = make_blocks(
             block,
             channels,
@@ -513,7 +513,7 @@ class ResNet(nn.Module):
         self.feature_info.extend(stage_feature_info)
 
         # Head (Pooling and Classifier)
-        self.num_features = self.head_hidden_size = 512 * block.expansion
+        self.num_features = self.head_hidden_size = channels[-1] * block.expansion
         self.global_pool, self.fc = create_classifier(self.num_features, self.num_classes, pool_type=global_pool)
 
         self.init_weights(zero_init_last=zero_init_last)