Update app.py

app.py

@@ -23,18 +23,22 @@ MAX_IMAGE_SIZE = 1024
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
+    model,
     prompt,
     negative_prompt,
     seed,
-    randomize_seed,
     width,
     height,
     guidance_scale,
     num_inference_steps,
     progress=gr.Progress(track_tqdm=True),
 ):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
+
+    global model_repo_id
+    if model != model_repo_id:
+        print(model, model_repo_id)
+        pipe = DiffusionPipeline.from_pretrained(model, torch_dtype=torch_dtype)
+        pipe = pipe.to(device)
 
     generator = torch.Generator().manual_seed(seed)
 
@@ -52,9 +56,10 @@ def infer(
 
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k.",
+    "An astronaut riding a green horse.",
+    "A delicious ceviche cheesecake slice.",
+    "A futuristic sports car is located on the surface of Mars. Stars, planets, mountains and craters are visible.",
 ]
 
 css = """
@@ -64,40 +69,67 @@ css = """
 }
 """
 
-with gr.Blocks(css=css) as demo:
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template from V. Gorsky")
+available_models = [
+    "CompVis/stable-diffusion-v1-4",
+    "stabilityai/sdxl-turbo",
+    "runwayml/stable-diffusion-v1-5",
+    "prompthero/openjourney"
 
-        with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
+]
 
-            run_button = gr.Button("Run", scale=0, variant="primary")
+with gr.Blocks(css=css) as demo:
 
-        result = gr.Image(label="Result", show_label=False)
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(" # Text-to-Image Gradio Template from V. Gorsky")
 
-        with gr.Accordion("Advanced Settings", open=False):
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-            )
-
-            seed = gr.Slider(
+        model = gr.Dropdown(
+            label="Model Selection",
+            choices=available_models,
+            value="CompVis/stable-diffusion-v1-4",
+            interactive=True
+        )
+        prompt = gr.Text(
+            label="Prompt",
+            show_label=False,
+            max_lines=1,
+            placeholder="Enter your prompt",
+            container=False,
+        )
+
+        negative_prompt = gr.Text(
+            label="Negative prompt",
+            max_lines=1,
+            placeholder="Enter a negative prompt",
+            visible=True,
+        )
+        seed = gr.Slider(
                 label="Seed",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
                 value=0,
-            )
+        )
+        guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=7.0,  # Replace with defaults that work for your model
+        )
+
+        num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=20,  # Replace with defaults that work for your model
+        )
 
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        run_button = gr.Button("Run", scale=0, variant="primary")
+
+        result = gr.Image(label="Result", show_label=False)
+
+        with gr.Accordion("Advanced Settings", open=False):
 
             with gr.Row():
                 width = gr.Slider(
@@ -116,23 +148,6 @@ with gr.Blocks(css=css) as demo:
                     value=1024,  # Replace with defaults that work for your model
                 )
 
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
-                )
-
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=2,  # Replace with defaults that work for your model
-                )
-
         gr.Examples(examples=examples, inputs=[prompt])
     gr.on(
         triggers=[run_button.click, prompt.submit],
@@ -152,3 +167,4 @@ with gr.Blocks(css=css) as demo:
 
 if __name__ == "__main__":
     demo.launch()
+