import gradio as gr from random import randint from all_models import models def load_fn(models): global models_load models_load = {} for model in models: if model not in models_load.keys(): try: m = gr.load(f'models/{model}') except Exception as error: m = gr.Interface(lambda txt: None, ['text'], ['image']) models_load.update({model: m}) load_fn(models) num_models = 6 default_models = models[:num_models] def extend_choices(choices): return choices + (num_models - len(choices)) * ['NA'] def update_imgbox(choices): choices_plus = extend_choices(choices) return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus] def gen_fn(model_str, prompt): if model_str == 'NA': return None noise = str(randint(0, 99999999999)) return models_load[model_str](f'{prompt} {noise}') with gr.Blocks() as demo: with gr.Tab('The Dream'): txt_input = gr.Textbox(label = 'Prompt text').style(container=False,min_width=1200) gen_button = gr.Button('Generate') stop_button = gr.Button('Stop', variant = 'secondary', interactive = False) gen_button.click(lambda s: gr.update(interactive = True), None, stop_button) gr.HTML( """

Scroll down to see more images and select models.

""" ) with gr.Row(): output = [gr.Image(label = m, min_width=480) for m in default_models] current_models = [gr.Textbox(m, visible = False) for m in default_models] for m, o in zip(current_models, output): gen_event = gen_button.click(gen_fn, [m, txt_input], o) stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event]) with gr.Accordion('Model selection'): model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False) model_choice.change(update_imgbox, model_choice, output) model_choice.change(extend_choices, model_choice, current_models) demo.queue(concurrency_count = 200) demo.launch()