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scripts/training/train_flux_v2.py

@@ -82,10 +82,14 @@ def preprocess(sample):
         return None
 
 
+def ignore_errors(exn):
+    print(f"WebDataset error (skipping): {exn}")
+    return True
+
 dataset = (
-    wds.WebDataset([str(f) for f in tar_files], shardshuffle=True)
+    wds.WebDataset([str(f) for f in tar_files], shardshuffle=True, handler=ignore_errors)
     .shuffle(1000)
-    .decode("pil")
+    .decode("pil", handler=ignore_errors)
     .map(preprocess)
     .select(lambda x: x is not None)
 )