first version

app.py

@@ -5,34 +5,39 @@ import random
 # import spaces #[uncomment to use ZeroGPU]
 from diffusers import DiffusionPipeline
 import torch
+from sympy.core.random import choice
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
-
-if torch.cuda.is_available():
-    torch_dtype = torch.float16
-else:
-    torch_dtype = torch.float32
-
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
+# model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
 
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
-    prompt,
-    negative_prompt,
-    seed,
-    randomize_seed,
-    width,
-    height,
-    guidance_scale,
-    num_inference_steps,
-    progress=gr.Progress(track_tqdm=True),
+        model_id,
+        prompt,
+        negative_prompt,
+        seed,
+        randomize_seed,
+        width,
+        height,
+        guidance_scale,
+        num_inference_steps,
+        progress=gr.Progress(track_tqdm=True),
 ):
+    if torch.cuda.is_available():
+        torch_dtype = torch.float16
+    else:
+        torch_dtype = torch.float32
+    #print(model_id)
+
+    pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
+    pipe = pipe.to(device)
+
+
+
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
@@ -52,10 +57,12 @@ def infer(
 
 
 examples = [
+    "cute_animal",
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "An astronaut riding a green horse",
     "A delicious ceviche cheesecake slice",
 ]
+neg_examples = ["cat, dog",]
 
 css = """
 #col-container {
@@ -68,6 +75,10 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(" # Text-to-Image Gradio Template")
 
+        with gr.Row():
+            model_id = gr.Dropdown(
+                choices=["CompVis/stable-diffusion-v1-4", "stabilityai/sdxl-turbo"], info="Choose model")
+
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",
@@ -75,6 +86,7 @@ with gr.Blocks(css=css) as demo:
                 max_lines=1,
                 placeholder="Enter your prompt",
                 container=False,
+                value="cute_animal",
             )
 
             run_button = gr.Button("Run", scale=0, variant="primary")
@@ -86,15 +98,17 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                visible=False,
+                visible=True,
+                value="cat, dog",
             )
+            gr.Examples(examples=neg_examples, inputs=[negative_prompt])
 
             seed = gr.Slider(
                 label="Seed",
                 minimum=0,
                 maximum=MAX_SEED,
                 step=1,
-                value=0,
+                value=42,#0,
             )
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -122,7 +136,7 @@ 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,#0.0,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -134,10 +148,12 @@ with gr.Blocks(css=css) as demo:
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
+
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
         inputs=[
+            model_id,
             prompt,
             negative_prompt,
             seed,
@@ -151,4 +167,4 @@ with gr.Blocks(css=css) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()