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()