Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from optimum.intel.openvino import OVStableDiffusionPipeline
+import torch
+
+# Load the quantized model from Hugging Face
+model_id = "Intel/sd-1.5-square-quantized"
+pipe = OVStableDiffusionPipeline.from_pretrained(model_id, export=False)
+
+# Define the inference function
+def generate_image(prompt):
+    # Generate the image
+    image = pipe(prompt, num_inference_steps=5, guidance_scale=7.5).images[0]
+    return image
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Image(label="Generated Image"),
+    title="Stable Diffusion 1.5 Square Quantized Demo",
+    description="Generate square images using Intel's quantized SD 1.5 model."
+)
+
+# Launch the interface
+interface.launch()