Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the Stable Diffusion model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipeline = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipeline.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_image(prompt):
+    image = pipeline(prompt).images[0]
+    return image
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your text prompt"),
+    outputs=gr.Image(type="pil"),
+    title="Text-to-Image Generator",
+    description="Enter a prompt, and the AI will generate an image based on it.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()