diff --git a/ldm/modules/attention.py b/ldm/modules/attention.py
index 509cd87..6014635 100644
--- a/ldm/modules/attention.py
+++ b/ldm/modules/attention.py
@@ -12,9 +12,9 @@ from ldm.modules.diffusionmodules.util import checkpoint
 try:
     import xformers
     import xformers.ops
-    XFORMERS_IS_AVAILBLE = True
-except:
-    XFORMERS_IS_AVAILBLE = False
+    XFORMERS_AVAILABLE = True
+except ImportError:
+    XFORMERS_AVAILABLE = False
 
 # CrossAttn precision handling
 import os
@@ -251,7 +251,7 @@ class BasicTransformerBlock(nn.Module):
     def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True,
                  disable_self_attn=False):
         super().__init__()
-        attn_mode = "softmax-xformers" if XFORMERS_IS_AVAILBLE else "softmax"
+        attn_mode = "softmax-xformers" if XFORMERS_AVAILABLE else "softmax"
         assert attn_mode in self.ATTENTION_MODES
         attn_cls = self.ATTENTION_MODES[attn_mode]
         self.disable_self_attn = disable_self_attn
@@ -338,4 +338,3 @@ class SpatialTransformer(nn.Module):
         if not self.use_linear:
             x = self.proj_out(x)
         return x + x_in
-
diff --git a/ldm/modules/diffusionmodules/model.py b/ldm/modules/diffusionmodules/model.py
index b089eeb..50fc9d0 100644
--- a/ldm/modules/diffusionmodules/model.py
+++ b/ldm/modules/diffusionmodules/model.py
@@ -11,10 +11,9 @@ from ldm.modules.attention import MemoryEfficientCrossAttention
 try:
     import xformers
     import xformers.ops
-    XFORMERS_IS_AVAILBLE = True
-except:
-    XFORMERS_IS_AVAILBLE = False
-    print("No module 'xformers'. Proceeding without it.")
+    XFORMERS_AVAILABLE = True
+except ImportError:
+    XFORMERS_AVAILABLE = False
 
 
 def get_timestep_embedding(timesteps, embedding_dim):
@@ -279,7 +278,7 @@ class MemoryEfficientCrossAttentionWrapper(MemoryEfficientCrossAttention):
 
 def make_attn(in_channels, attn_type="vanilla", attn_kwargs=None):
     assert attn_type in ["vanilla", "vanilla-xformers", "memory-efficient-cross-attn", "linear", "none"], f'attn_type {attn_type} unknown'
-    if XFORMERS_IS_AVAILBLE and attn_type == "vanilla":
+    if XFORMERS_AVAILABLE and attn_type == "vanilla":
         attn_type = "vanilla-xformers"
     print(f"making attention of type '{attn_type}' with {in_channels} in_channels")
     if attn_type == "vanilla":