Fix to get fp8 working on T5 base.

comfy/text_encoders/t5.py

@@ -236,4 +236,6 @@ class T5(torch.nn.Module):
 
     def forward(self, input_ids, *args, **kwargs):
         x = self.shared(input_ids, out_dtype=kwargs.get("dtype", torch.float32))
+        if self.dtype not in [torch.float32, torch.float16, torch.bfloat16]:
+            x = torch.nan_to_num(x) #Fix for fp8 T5 base
         return self.encoder(x, *args, **kwargs)