Update app.py

app.py

@@ -13,7 +13,7 @@ import torch
 from diffusers import AutoencoderKL, DiffusionPipeline, StableDiffusionXLPipeline, KDPM2AncestralDiscreteScheduler
 
 MARKDOWN = """
-This demo utilizes <a href="https://huggingface.co/dataautogpt3/OpenDalleV1.1">OpenDalle V1.1</a> by @dataautogpt3.
+This demo utilizes <a href="https://huggingface.co/dataautogpt3/ProteusV0.2">Proteus V0.2</a> by @dataautogpt3.
 A fusion of different  models has been applied in order to provide better visualized results, comparatively. 
 Try out with different prompts and do provide your feedback.
 
@@ -228,14 +228,14 @@ with gr.Blocks(js=js_func, theme=theme) as demo:
                 minimum=1,
                 maximum=20,
                 step=0.1,
-                value=5.0,
+                value=7.5,
             )
             num_inference_steps_base = gr.Slider(
                 label="Number of inference steps for base",
                 minimum=10,
                 maximum=100,
                 step=1,
-                value=25,
+                value=50,
             )
         with gr.Row(visible=False) as refiner_params:
             guidance_scale_refiner = gr.Slider(
@@ -243,14 +243,14 @@ with gr.Blocks(js=js_func, theme=theme) as demo:
                 minimum=1,
                 maximum=20,
                 step=0.1,
-                value=5.0,
+                value=7.5,
             )
             num_inference_steps_refiner = gr.Slider(
                 label="Number of inference steps for refiner",
                 minimum=10,
                 maximum=100,
                 step=1,
-                value=25,
+                value=50,
             )
 
     gr.Examples(