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| import gradio as gr | |
| from random import randint | |
| from all_models import models | |
| from externalmod import gr_Interface_load | |
| def load_fn(models): | |
| global models_load | |
| models_load = {} | |
| for model in models: | |
| if model not in models_load.keys(): | |
| try: | |
| m = gr_Interface_load(f'models/{model}') | |
| except Exception as error: | |
| print(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] + (num_models - len(choices[:num_models])) * ['NA'] | |
| def update_imgbox(choices): | |
| choices_plus = extend_choices(choices[:num_models]) | |
| return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus] | |
| def update_imgbox_gallery(choices): | |
| choices_plus = extend_choices(choices[:num_models]) | |
| return [gr.Gallery(None, label = m, visible = (m != 'NA')) for m in choices_plus] | |
| def gen_fn(model_str, prompt): | |
| if model_str == 'NA': | |
| return None | |
| noise = "" | |
| rand = randint(1, 500) | |
| for i in range(rand): | |
| noise += " " | |
| return models_load[model_str](f'{prompt} {noise}') | |
| def gen_fn_gallery(model_str, prompt, gallery): | |
| if gallery is None: gallery = [] | |
| if model_str == 'NA': | |
| return gallery | |
| noise = "" | |
| rand = randint(1, 500) | |
| for i in range(rand): | |
| noise += " " | |
| gallery.append(models_load[model_str](f'{prompt} {noise}')) | |
| return gallery | |
| CSS=""" | |
| .output { width=480px; height=480px !important; } | |
| """ | |
| with gr.Blocks(css=CSS) as demo: | |
| with gr.Tab('The Dream'): | |
| txt_input = gr.Textbox(label = 'Your prompt:', lines=4) #.style(container=False,min_width=1200) | |
| gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total') | |
| stop_button = gr.Button('Stop', variant = 'secondary', interactive = False) | |
| gen_button.click(lambda s: gr.update(interactive = True), None, stop_button) | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; max-width: 1200px; margin: 0 auto;"> | |
| <div> | |
| <body> | |
| <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p> | |
| </div> | |
| </body> | |
| </div> | |
| </div> | |
| """ | |
| ) | |
| with gr.Row(): | |
| #output = [gr.Image(label = m, show_download_button=True, elem_classes="output", show_share_button=True) for m in default_models] | |
| output = [gr.Gallery(label = m, show_download_button=True, elem_classes="output", interactive=False, show_share_button=True, container=True, format="png", object_fit="contain") 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) | |
| gen_event = gen_button.click(gen_fn_gallery, [m, txt_input, o], 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 from the 866 available!', value = default_models, interactive = True) | |
| #model_choice.change(update_imgbox, model_choice, output) | |
| model_choice.change(update_imgbox_gallery, model_choice, output) | |
| model_choice.change(extend_choices, model_choice, current_models) | |
| with gr.Row(): | |
| gr.HTML( | |
| """ | |
| <div class="footer"> | |
| <p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! | |
| </p> | |
| """ | |
| ) | |
| demo.queue() | |
| demo.launch() | |