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import gradio as gr
from image_generation import generate_image
# from image_generation import test_print
model_options = ["CompVis/stable-diffusion-v1-4",
"runwayml/stable-diffusion-v1-5",
"stabilityai/stable-diffusion-2-1",
"stabilityai/stable-diffusion-2-1-base",
"prompthero/openjourney-v4"]
scheduler_options = ["None",
"EulerDiscreteScheduler",
"PNDMScheduler",
"DPMSolverMultistepScheduler",
"LMSDiscreteScheduler",
"HeunDiscreteScheduler"]
def main():
prompt = gr.Textbox(label="Enter your prompt")
negative_prompt = gr.Textbox(label="Negative prompt", type='text', value="disfigured, ugly, bad, immature, cartoon, anime, 3d, painting, b&w")
guidance_scale = gr.Textbox(label="Guidance scale", type='text', value=7.5)
model_dropdown = gr.Dropdown(choices=model_options,
label='Model',
value='prompthero/openjourney-v4',
info='Select model for inference')
scheduler_dropdown = gr.Dropdown(choices=scheduler_options,
label='Scheduler',
value='None',
info='Select scheduler for inference. None for default')
inference_steps = gr.Slider(1, 100, value=50, step=1, label="Inference steps", info="Choose between 1 and 100")
num_of_images = gr.Slider(1, 4, value=1, step=1, label="Number of images", info="Choose between 1 and 4")
# generated_image = gr.Image(label="Generated Image")
gen_image_grid = gr.Gallery(label='Generated images').style(columns=[2], rows=[2], object_fit="cover", height="auto", preview=True)
app = gr.Interface(fn=generate_image,
inputs=[prompt,
negative_prompt,
model_dropdown,
scheduler_dropdown,
inference_steps,
guidance_scale,
num_of_images],
# outputs=generated_image,
outputs=gen_image_grid,
title="Image Generation",
)
app.launch()
if __name__=="__main__":
main()
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