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app.py

@@ -4,6 +4,7 @@ from panna import SD3
 
 
 model = SD3("stabilityai/stable-diffusion-3-medium-diffusers")
+title = "# [Stable Diffusion 3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium)"
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
     "A female model, high quality, fashion, Paris, Vogue, Maison Margiela, 8k",
@@ -18,7 +19,7 @@ css = """
 
 @spaces.GPU
 def infer(prompt, negative_prompt, seed, width, height, guidance_scale, num_inference_steps):
-    image = model.text2image(
+    return model.text2image(
         prompt=[prompt],
         negative_prompt=[negative_prompt],
         guidance_scale=guidance_scale,
@@ -26,13 +27,12 @@ def infer(prompt, negative_prompt, seed, width, height, guidance_scale, num_infe
         width=width,
         height=height,
         seed=seed
-    )
-    return image[0]
+    )[0]
 
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# Demo [Stable Diffusion 3 Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium)")
+        gr.Markdown(title)
         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)
@@ -45,7 +45,7 @@ with gr.Blocks(css=css) as demo:
                 height = gr.Slider(label="Height", minimum=256, maximum=1344, step=64, value=1024)
             with gr.Row():
                 guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=10.0, step=0.1, value=7.5)
-                num_inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=5)
+                num_inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=50)
         gr.Examples(examples=examples, inputs=[prompt])
     gr.on(
         triggers=[run_button.click, prompt.submit, negative_prompt.submit],