from huggingface_hub import from_pretrained_keras
import keras_cv
import gradio as gr
from tensorflow import keras

keras.mixed_precision.set_global_policy("mixed_float16")
# load keras model
resolution = 512
dreambooth_model = keras_cv.models.StableDiffusion(
        img_width=resolution, img_height=resolution, jit_compile=True, 
    )
loaded_diffusion_model = from_pretrained_keras("keras-dreambooth/dreambooth-galaxy-mergers")
dreambooth_model._diffusion_model = loaded_diffusion_model


def generate_images(prompt: str, negative_prompt:str, num_imgs_to_gen: int, num_steps: int, ugs: int):
    generated_img = dreambooth_model.text_to_image(
        prompt, 
        negative_prompt=negative_prompt,
        batch_size=num_imgs_to_gen,
        num_steps=num_steps,
        unconditional_guidance_scale=ugs,
    )
   
    return generated_img
    
with gr.Blocks() as demo:
    gr.Markdown(f""""
    # Keras-Dreambooth Galaxy Mergers 🪐🤗

    This is a Keras Dreambooth model fine-tuned to images of galaxy mergers taken with the [Hubble Space Telescope](https://en.wikipedia.org/wiki/Hubble_Space_Telescope) (credit [ESA/Hubble](https://esahubble.org/images/)).
    The model, part of the [Keras Dreambooth Sprint](https://github.com/huggingface/community-events/tree/main/keras-dreambooth-sprint) trained by lposti, can be found in [keras-dreambooth/dreambooth-galaxy-mergers](https://huggingface.co/keras-dreambooth/dreambooth-galaxy-mergers).
    
    The model should be used with a prompt containing `sks galaxies merging`. A typical prompt for this model is `image of sks galaxies merging in space`.
    
    """)
    with gr.Row():
        with gr.Column():
            prompt = gr.Textbox(lines=1, value="image of sks galaxies merging in space", label="Base Prompt")
            negative_prompt = gr.Textbox(lines=1, value="deformed", label="Negative Prompt")
            samples = gr.Slider(minimum=1, maximum=5, value=1, step=1, label="Number of Image")
            num_steps = gr.Slider(label="Inference Steps",value=40)
            ugs = gr.Slider(value=15, minimum=5, maximum=25, step=1, label="Unconditional Guidance Scale")
            run = gr.Button(value="Run")
        with gr.Column():
            gallery = gr.Gallery(label="Outputs").style(grid=(1,2))

    run.click(generate_images, inputs=[prompt,negative_prompt, samples, num_steps, ugs], outputs=gallery)
    
    gr.Examples([["image of sks galaxies merging in space, 8k, high quality","deformed, blurry, grain, artifacts, low quality", 1, 40, 12],
                 ["painting of sks galaxies merging in van gogh style, 8k, high quality, trending on artstation","deformed, blurry, grain, artifacts, low quality", 1, 40, 12],
                 ],
                [prompt,negative_prompt, samples,num_steps, ugs], gallery, generate_images)

    gr.Markdown(f""""
    ## Output samples

    > image of sks galaxies merging in space
    ![image of sks galaxies merging in space, 8k, high quality](https://huggingface.co/keras-dreambooth/dreambooth-galaxy-mergers/resolve/main/output-samples-mergers/db-mergers_collage.jpg)

    > painting of sks galaxies merging in van gogh style
    ![painting of sks galaxies merging in van gogh style, 8k, high quality, trending on artstation](https://huggingface.co/keras-dreambooth/dreambooth-galaxy-mergers/resolve/main/output-samples-mergers/db-mergers-vangogh_collage.jpg)
    
    """)

demo.launch(debug=True)