Create app.py

app.py

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+import gradio as gr
+import torch
+from diffusers import StableDiffusionPipeline
+
+# Load the Stable Diffusion v1.5 model (on CPU with float32)
+model_id = "sd-legacy/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
+pipe = pipe.to("cpu")
+
+# Image generation function
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Gradio UI setup
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(lines=2, placeholder="Describe your image...", label="Prompt"),
+    outputs=gr.Image(type="pil", label="Generated Image"),
+    title="🎨 Stable Diffusion v1.5 (CPU)",
+    description="Enter a prompt and generate an image using Stable Diffusion v1.5 on CPU.",
+    allow_flagging="never"
+)
+
+if __name__ == "__main__":
+    demo.launch()