get T5 to work both with and without --precision half

modules/models/sd3/other_impls.py

@@ -479,7 +479,7 @@ class T5Stack(torch.nn.Module):
 
     def forward(self, input_ids, intermediate_output=None, final_layer_norm_intermediate=True):
         intermediate = None
-        x = self.embed_tokens(input_ids)
+        x = self.embed_tokens(input_ids).to(torch.float32)  # needs float32 or else T5 returns all zeroes
         past_bias = None
         for i, layer in enumerate(self.block):
             x, past_bias = layer(x, past_bias)