Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+
+# Load the diffusion pipeline
+pipe = DiffusionPipeline.from_pretrained("jasperai/Flux.1-dev-Controlnet-Depth")
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Set up the Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Prompt", placeholder="Enter a prompt..."),
+    outputs=gr.Image(label="Generated Image"),
+    title="Diffusion Model Image Generator",
+    description="Generate images using a diffusion model based on your text prompts."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()