Update app.py

app.py

@@ -74,7 +74,7 @@ def run_lora(prompt, negative, weight, selected_state):
                 else:
                     multiplier = 1.0
                     
-                multiplier = torch.tensor([multiplier], dtype=torch.float16, device=device)
+                #multiplier = torch.tensor([multiplier], dtype=torch.float16, device=device)
                 lora_model, weights_sd = lora.create_network_from_weights(
                     multiplier,
                     full_path_lora,
@@ -84,7 +84,7 @@ def run_lora(prompt, negative, weight, selected_state):
                     for_inference=True,
                 )
                 lora_model.apply_to(pipe.text_encoder, pipe.unet)
-                lora_model = lora_model.to("cuda").to(dtype=torch.float16)
+                lora_model = lora_model.to("cuda")
                 
             last_merged = True