'''
with gr.Tab('Single model'):
        with gr.Column(scale=2):
            model_choice2 = gr.Dropdown(models, label='Choose model', value=models[0])
            with gr.Group():
                txt_input2 = gr.Textbox(label='Your prompt:', value = preSetPrompt, lines=3, autofocus=1)
                with gr.Accordion("Advanced", open=False, visible=True):
                    with gr.Row():
                        neg_input2 = gr.Textbox(label='Negative prompt:', value=negPreSetPrompt, lines=1)
                    with gr.Row():                        
                        width2 = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
                        height2 = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
                    with gr.Row():
                        steps2 = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
                        cfg2 = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
                        seed2 = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
                        seed_rand2 = gr.Button("Randomize Seed", size="sm", variant="secondary")
                        seed_rand2.click(randomize_seed, None, [seed2], queue=False)
            num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')
            with gr.Row():
                gen_button2 = gr.Button('Let the machine halucinate', variant='primary', scale=2, elem_classes=["butt"])
        with gr.Column(scale=1):
            with gr.Group():
                with gr.Row():
                    output2 = [gr.Image(label='', show_download_button=True,
                               interactive=False, width=112, height=112, visible=True, format="png",
                               show_share_button=False, show_label=False) for _ in range(max_images)]
        for i, o in enumerate(output2):
            img_i = gr.Number(i, visible=False)
            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o, queue=False)
            gen_event2 = gr.on(triggers=[gen_button2.click, txt_input2.submit],
                               fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5: gen_fn(m, t1, t2, n1, n2, n3, n4, n5) if (i < n) else None,
                               inputs=[img_i, num_images, model_choice2, txt_input2, neg_input2,
                                       height2, width2, steps2, cfg2, seed2], outputs=[o],
                                       concurrency_limit=None, queue=False)
'''