Update app.py

app.py

@@ -13,7 +13,12 @@ model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like
 torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
+
+# Explicitly convert submodules to float32 to prevent dtype mismatch
+pipe.to(device)
+pipe.text_encoder.to(dtype=torch.float32)
+pipe.vae.to(dtype=torch.float32)
+pipe.unet.to(dtype=torch.float32)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -147,4 +152,4 @@ with gr.Blocks(css=css) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()