Update app.py

app.py

@@ -7,7 +7,8 @@ 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
+#model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+model_repo_id = "CompVis/stable-diffusion-v1-4"
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -66,7 +67,7 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template")
+        gr.Markdown(" # Text-to-Image SemaSci Template")
 
         with gr.Row():
             prompt = gr.Text(
@@ -82,11 +83,19 @@ with gr.Blocks(css=css) as demo:
         result = gr.Image(label="Result", show_label=False)
 
         with gr.Accordion("Advanced Settings", open=False):
+            model_repo_id = gr.Text(
+                label="Model Id",
+                max_lines=1,
+                placeholder="Choose model",
+                visible=True,
+                container=True,
+            )
+            
             negative_prompt = gr.Text(
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=False,
+                visible=True,
             )
 
             seed = gr.Slider(
@@ -94,7 +103,7 @@ with gr.Blocks(css=css) as demo:
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
-                value=0,
+                value=42,
             )
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -122,7 +131,7 @@ 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=7.0,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -130,7 +139,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=20,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
@@ -139,6 +148,7 @@ with gr.Blocks(css=css) as demo:
         fn=infer,
         inputs=[
             prompt,
+            model_repo_id,
             negative_prompt,
             seed,
             randomize_seed,