Update app.py

app.py

@@ -5,6 +5,12 @@ from diffusers import DiffusionPipeline
 from optimum.intel.openvino import OVStableDiffusionPipeline
 import torch
 
+
+batch_size = 1
+num_images_per_prompt = 1
+height = 256
+width = 256
+
 model_id = "helenai/Linaqruf-anything-v3.0-ov"
 
 pipe = OVStableDiffusionPipeline.from_pretrained(model_id, compile=False)
@@ -99,7 +105,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=256,
                 )
                 
                 height = gr.Slider(
@@ -107,7 +113,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=256,
                 )
             
             with gr.Row():
@@ -123,9 +129,9 @@ with gr.Blocks(css=css) as demo:
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=12,
+                    maximum=25,
                     step=1,
-                    value=2,
+                    value=25,
                 )
         
         gr.Examples(