Update app.py

app.py

@@ -50,18 +50,14 @@ def infer(
 
     generator = torch.Generator(device).manual_seed(seed)
 
-    # Ensure text inputs are moved to the correct device and dtype
+    # Ensure text inputs are strings
     prompt = str(prompt) if prompt else ""
     negative_prompt = str(negative_prompt) if negative_prompt else ""
 
-    # Convert text inputs to Long tensors if necessary
-    text_input_ids = torch.tensor([ord(c) for c in prompt], dtype=torch.long, device=device)
-    neg_text_input_ids = torch.tensor([ord(c) for c in negative_prompt], dtype=torch.long, device=device)
-
     image = pipe(
-        prompt=text_input_ids,
-        negative_prompt=neg_text_input_ids,
-        guidance_scale=torch.tensor(guidance_scale, dtype=torch.float32, device=device),
+        prompt=prompt,
+        negative_prompt=negative_prompt,
+        guidance_scale=guidance_scale,
         num_inference_steps=num_inference_steps,
         width=width,
         height=height,