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import gradio as gr | |
models=[ | |
"runwayml/stable-diffusion-v1-5", | |
"claudfuen/photorealistic-fuen-v1", | |
"nitrosocke/redshift-diffusion", | |
] | |
model_box=[ | |
gr.Interface.load(f"models/{models[0]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[1]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[2]}",live=True,preprocess=True), | |
] | |
current_model=model_box[0] | |
def the_process(input_text, model_choice): | |
a_variable = model_box[model_choice] | |
output = a_variable(input_text) | |
return(output) | |
with gr.Blocks() as demo: | |
gr.HTML("""<h1 style="font-weight:600;font-size:50;margin-top:4px;margin-bottom:4px;text-align:center;">Example Space to copy/paste</h1></div>""") | |
with gr.Row(): | |
with gr.Column(): | |
model_choice = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", interactive=True) | |
input_text = gr.Textbox(label="Input Prompt") | |
the_button = gr.Button(label="Run") | |
with gr.Column(): | |
output_window = gr.Image(label="Generated Image") | |
the_button.click(the_process, inputs=[input_text, model_choice], outputs=[output_window]) | |
demo.launch() |