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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("""
# 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("""
## Output samples
> image of sks galaxies merging in space
> painting of sks galaxies merging in van gogh style
""")
demo.launch(debug=True) |