Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the Stable Diffusion model from Hugging Face Hub
+model_id = "runwayml/stable-diffusion-v1-5"
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+)
+pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Gradio UI
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Image(label="Generated Image"),
+    title="Text-to-Image Generator",
+    description="Generate images from text using Stable Diffusion (v1-5)."
+)
+
+if __name__ == "__main__":
+    demo.launch()