Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+from PIL import Image
+
+# Load the Stable Diffusion model (replace with your desired model)
+model_id = "runwayml/stable-diffusion-v1-5"  # Example: Stable Diffusion v1.5
+pipe = StableDiffusionPipeline.from_pretrained(model_id)
+pipe.to("cuda") # If you have a CUDA-enabled GPU, use it for faster generation
+# otherwise, remove this line to use your CPU (slower)
+
+def generate_image(prompt):
+    """
+    Generates an image from a text prompt using Stable Diffusion.
+
+    Args:
+        prompt (str): The text prompt to guide image generation.
+
+    Returns:
+        PIL.Image.Image: The generated image.
+    """
+    try:
+        image = pipe(prompt).images[0]  # Get the first image from the pipeline output
+        return image
+    except Exception as e:
+        print(f"Error generating image: {e}")
+        return None # Or return a default image if desired
+
+
+# Gradio Interface
+def gradio_interface(prompt):
+    """
+    Generates an image using the Stable Diffusion model and returns it for the Gradio interface.
+
+    Args:
+        prompt (str): The text prompt for image generation.
+
+    Returns:
+        PIL.Image.Image or str: The generated image or an error message.
+    """
+    image = generate_image(prompt)
+    if image:
+        return image
+    else:
+        return "Error: Image generation failed. Please try a different prompt or check the console for details."
+
+
+
+if __name__ == "__main__":
+    # Create the Gradio interface
+    iface = gr.Interface(
+        fn=gradio_interface,
+        inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here..."),
+        outputs=gr.Image(label="Generated Image"),
+        title="Text-to-Image Generator",
+        description="Enter a text prompt and let the AI generate an image for you. Uses Stable Diffusion (or your specified model).",
+        examples=[
+            ["A photo of a cat wearing a hat"],
+            ["A futuristic cityscape at sunset"],
+            ["An abstract painting with vibrant colors"],
+        ]
+    )
+
+    # Launch the interface
+    iface.launch()