Update app.py

app.py

@@ -14,20 +14,25 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
+DEFAULT_SEED = 42
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
+DEFAULT_WIDTH = 1024
+DEFAULT_HEIGHT = 1024
+DEFAULT_GS = 0.0
+DEFAULT_NUM_INF_STEPS = 20
 
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(model_id: Optional[str] = "CompVis/stable-diffusion-v1-4",
           prompt: str = "",
           negative_prompt: str = "",
-          seed: Optional[int] = 42,
+          seed: Optional[int] = DEFAULT_SEED,
           randomize_seed: bool = True,
-          width: int = 1024,
-          height: int = 1024,
-          guidance_scale: Optional[float] = 7,
-          num_inference_steps: Optional[int] = 20,
+          width: int = DEFAULT_WIDTH,
+          height: int = DEFAULT_HEIGHT,
+          guidance_scale: Optional[float] = DEFAULT_GS,
+          num_inference_steps: Optional[int] = DEFAULT_NUM_INF_STEPS,
           progress = gr.Progress(track_tqdm=True)):
     if model_id:
         model_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
@@ -78,7 +83,7 @@ with gr.Blocks(css=css) as demo:
                 multiselect=False,
                 allow_custom_value=True,
                 label="Model",
-                info="Choose model ID",
+                #info="Choose model ID",
             )
         
         with gr.Row():
@@ -99,7 +104,7 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=False,
+                visible=True,
             )
 
             seed = gr.Slider(
@@ -107,7 +112,7 @@ with gr.Blocks(css=css) as demo:
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
-                value=0,
+                value=DEFAULT_SEED,
             )
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -118,7 +123,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=DEFAULT_WIDTH,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -126,7 +131,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=DEFAULT_HEIGHT,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():
@@ -135,7 +140,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
+                    value=DEFAULT_GS,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -143,7 +148,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=DEFAULT_NUM_INF_STEPS,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])