updated for bigger textbox

app.py

@@ -7,7 +7,6 @@ from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -91,12 +90,11 @@ with gr.Blocks(css=css) as demo:
         )
             
         with gr.Row():
-            prompt = gr.Text(
+            prompt = gr.Textbox(
                 label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
+                info="Enter your prompt",
+                lines=5,
+                value="Cute animal with two eyes",
             )
 
             run_button = gr.Button("Run", scale=0, variant="primary")
@@ -127,7 +125,7 @@ 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=1024,  
                 )
 
                 height = gr.Slider(
@@ -135,7 +133,7 @@ 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=1024,  
                 )
 
             with gr.Row():
@@ -144,7 +142,7 @@ 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=0.0,  
                 )
 
                 num_inference_steps = gr.Slider(
@@ -152,7 +150,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=2,  
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])