Create app.py

app.py

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+from huggingface_hub import from_pretrained_keras
+import keras_cv
+import gradio as gr
+
+
+# prepare model
+resolution = 512
+sd_dreambooth_model = keras_cv.models.StableDiffusion(
+    img_width=resolution, img_height=resolution, jit_compile=True, 
+)
+db_diffusion_model = from_pretrained_keras("merve/dreambooth_diffusion_model")
+sd_dreambooth_model._diffusion_model = db_diffusion_model
+
+# generate images
+def infer(prompt):
+    generated_images = sd_dreambooth_model.text_to_image(
+        prompt, batch_size=9
+    )
+    return generated_images 
+    
+output = gr.Gallery(label="Outputs").style(grid=(3,3))
+
+# customize interface
+title = "Dreambooth Demo on Dog Images"
+description = "This is a dreambooth model fine-tuned on dog images. To try it, input the concept with {sks dog}."
+gr.Interface(infer, inputs=["text"], outputs=[output]).launch()