Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load model (smaller for faster loading)
+model = StableDiffusionPipeline.from_pretrained(
+    "OFA-Sys/small-stable-diffusion-v0",  # Lightweight model
+    torch_dtype=torch.float32
+)
+
+def generate_image(prompt):
+    return model(prompt).images[0]
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Describe your image"),
+    outputs=gr.Image(label="Generated Image"),
+    title="🎨 AI Image Generator",
+    examples=[["a cat astronaut"], ["colorful jellyfish in space"]]
+)
+
+demo.launch()