Update app.py

app.py

@@ -40,12 +40,11 @@ def infer(
 
     if model == "Ramzes":
         pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch_dtype)
-        pipe.unet = PeftModel.from_pretrained(pipe_v5_2.unet, "Bordoglor/Ramzes_adapter_sd_v1.5/unet")
-        pipe.text_encoder = PeftModel.from_pretrained(pipe_v5_2.text_encoder, "Bordoglor/Ramzes_adapter_sd_v1.5/text_encoder")
-        pipe = pipe.to(device)
+        pipe.unet = PeftModel.from_pretrained(pipe.unet, "Bordoglor/Ramzes_adapter_sd_v1.5/unet")
+        pipe.text_encoder = PeftModel.from_pretrained(pipe.text_encoder, "Bordoglor/Ramzes_adapter_sd_v1.5/text_encoder")
     else:     
         pipe = DiffusionPipeline.from_pretrained(model, torch_dtype=torch_dtype)
-        pipe = pipe.to(device)
+    pipe = pipe.to(device)
 
     image = pipe(
         prompt=prompt,
@@ -96,7 +95,6 @@ with gr.Blocks(css=css) as demo:
         with gr.Accordion("Advanced Settings", open=True):
             negative_prompt = gr.Text(
                 label="Negative prompt",
-                value="dog, cat",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
                 visible=True,