Update app.py

app.py

@@ -18,7 +18,9 @@ from share_btn import community_icon_html, loading_icon_html, share_js
 from gallery_history import fetch_gallery_history, show_gallery_history
 from illusion_style import css
 
-BASE_MODEL = "HusseinHE/icbinh"
+#BASE_MODEL = "HusseinHE/icbinh"
+
+BASE_MODEL = "SG161222/Realistic_Vision_V5.1_noVAE"
 
 # Initialize both pipelines
 vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse", torch_dtype=torch.float16)
@@ -148,7 +150,7 @@ def inference(
 with gr.Blocks(css=css) as app:
     gr.Markdown(
         '''
-        <center><h1>Hussein Diffusion</h1></span>  
+        <center><h1>Poiesis Diffusion</h1></span>  
         <span font-size:16px;">Generate stunning high quality illusion artwork with Stable Diffusion</span>  
         </center>
         '''
@@ -158,7 +160,7 @@ with gr.Blocks(css=css) as app:
         with gr.Column():
             control_image = gr.Image(label="Input Illusion", type="pil", elem_id="control_image")
             controlnet_conditioning_scale = gr.Slider(minimum=0.0, maximum=5.0, step=0.01, value=0.8, label="Illusion strength", elem_id="illusion_strength", info="ControlNet conditioning scale")
-            gr.Examples(examples=["checkers.png", "checkers_mid.jpg", "pattern.png", "ultra_checkers.png", "spiral.jpeg", "funky.jpeg" ], inputs=control_image)
+            gr.Examples(examples=["checkers.png", "checkers_mid.jpg", "pattern.png", "ultra_checkers.png", "spiral.jpeg", "funky.jpeg" , "poiesis.png" ], inputs=control_image)
             prompt = gr.Textbox(label="Prompt", elem_id="prompt")
             negative_prompt = gr.Textbox(label="Negative Prompt", value="low quality", elem_id="negative_prompt")
             with gr.Accordion(label="Advanced Options", open=False):