diff --git a/biapy/models/__init__.py b/biapy/models/__init__.py
index 73967cac..f56c97d1 100644
--- a/biapy/models/__init__.py
+++ b/biapy/models/__init__.py
@@ -101,7 +101,10 @@ def build_model(cfg, job_identifier, device):
             model = EDSR(ndim=ndim, num_filters=64, num_of_residual_blocks=16, upsampling_factor=cfg.PROBLEM.SUPER_RESOLUTION.UPSCALING, 
                 num_channels=cfg.DATA.PATCH_SIZE[-1])
         elif modelname == 'rcan':
-            model = rcan(ndim=ndim, filters=16, n_sub_block=int(np.log2(cfg.PROBLEM.SUPER_RESOLUTION.UPSCALING)), num_channels=cfg.DATA.PATCH_SIZE[-1])
+            scale = cfg.PROBLEM.SUPER_RESOLUTION.UPSCALING
+            if type(scale) is tuple:
+                scale = scale[0]
+            model = rcan(ndim=ndim, filters=16, scale=scale, n_sub_block=int(np.log2(scale)), num_channels=cfg.DATA.PATCH_SIZE[-1])
         elif modelname == 'dfcan':
             model = DFCAN(ndim=ndim, input_shape=cfg.DATA.PATCH_SIZE, scale=cfg.PROBLEM.SUPER_RESOLUTION.UPSCALING, n_ResGroup = 4, n_RCAB = 4)
         elif modelname == 'wdsr':
@@ -212,4 +215,4 @@ def build_torchvision_model(cfg, device):
     summary(model, input_size=sample_size, col_names=("input_size", "output_size", "num_params"), depth=10,
         device="cpu" if "cuda" not in device.type else "cuda")
 
-    return model, model_torchvision_weights.transforms()
\ No newline at end of file
+    return model, model_torchvision_weights.transforms()