Upload app.py

app.py

@@ -291,12 +291,12 @@ dict_styles = {
     'Oil Painting':'styles/learned_embeds_oil.bin',  
 }
 
-def inference(prompt, seed, style): 
+def inference(prompt, seed, style,num_inference_steps,guidance_scale): 
     
     if prompt is not None and style is not None and seed is not None: 
         style = dict_styles[style]
         torch.manual_seed(seed)
-        result = generate_with_prompt_style_guidance(prompt, style,seed,num_inference_steps=10,guidance_scale=7.5)
+        result = generate_with_prompt_style_guidance(prompt, style,seed,num_inference_steps,guidance_scale)
         return np.array(result)
     else:
         return None
@@ -309,7 +309,7 @@ demo = gr.Interface(inference,
                     inputs = [gr.Textbox(label='Prompt', value='Pink Ferrari Car'),    gr.Textbox(label='Seed', value=24041975),                           
                               gr.Dropdown(['Dr Strange', 'GTA-5', 'Manga', 'Pokemon','Illustration','Matrix','Oil Painting'], label='Style', value='Dr Strange'),
                               gr.Slider(
-                                minimum=10,
+                                minimum=5,
                                 maximum=20,
                                 value=10,
                                 step=5,