hw changes 2

app.py

@@ -9,6 +9,10 @@ from diffusers import DiffusionPipeline
 
 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 = "CompVis/stable-diffusion-v1-4"
+model_dropdown = ['stabilityai/sdxl-turbo', 'CompVis/stable-diffusion-v1-4' ]
+
+
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -24,22 +28,22 @@ MAX_IMAGE_SIZE = 1024
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
-    model_repo_id, 
     prompt,
     negative_prompt,
-    seed,
     randomize_seed,
     width,
     height,
-    guidance_scale,
-    num_inference_steps,
+    model_repo_id=model_repo_id,
+    seed=42,
+    guidance_scale=7,
+    num_inference_steps=20,
     progress=gr.Progress(track_tqdm=True),
-
 ):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
     generator = torch.Generator().manual_seed(seed)
+
     pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
     pipe = pipe.to(device)
 
@@ -56,6 +60,7 @@ def infer(
     return image, seed
 
 
+
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
@@ -71,16 +76,9 @@ 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():
-            model_repo_id = gr.Text(
-                label="model_repo_id",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your model_repo_id",
-                container=False,
-            )
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
@@ -94,11 +92,27 @@ 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,
+#                value=model_repo_id,
+#            )
+            model_repo_id = gr.Dropdown(
+                label="Model Id",
+                choices=model_dropdown,
+                info="Choose model",
+                visible=True,
+                allow_custom_value=True,
+                value=model_repo_id,
+            )            
+            
             negative_prompt = gr.Text(
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=False,
+                visible=True,
             )
 
             seed = gr.Slider(
@@ -106,10 +120,10 @@ 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)
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
 
             with gr.Row():
                 width = gr.Slider(
@@ -134,7 +148,7 @@ 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(
@@ -142,7 +156,7 @@ 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])
@@ -150,13 +164,13 @@ with gr.Blocks(css=css) as demo:
         triggers=[run_button.click, prompt.submit],
         fn=infer,
         inputs=[
-            model_repo_id,
             prompt,
             negative_prompt,
-            seed,
             randomize_seed,
             width,
             height,
+            model_repo_id,
+            seed,
             guidance_scale,
             num_inference_steps,
         ],
@@ -165,3 +179,4 @@ with gr.Blocks(css=css) as demo:
 
 if __name__ == "__main__":
     demo.launch()
+