Create app.py

app.py

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+from huggingface_hub import from_pretrained_keras
+from keras_cv import models
+import gradio as gr
+
+sd_dreambooth_model = models.StableDiffusion(
+    img_width=512, img_height=512
+)
+db_diffusion_model = from_pretrained_keras("dan/dreambooth_teddy")
+sd_dreambooth_model._diffusion_model = db_diffusion_model
+
+# generate images
+def infer(prompt):
+    generated_images = sd_dreambooth_model.text_to_image(
+        prompt
+    )
+    return generated_images 
+    
+    
+output = gr.Gallery(label="Outputs").style(grid=(2,2))
+
+# pass function, input type for prompt, the output for multiple images
+gr.Interface(infer, inputs=["text"], outputs=[output]).launch()