| import gradio as gr | |
| from random import randint | |
| from all_models import models | |
| from datetime import datetime | |
| now2 = 0 | |
| kii = "dog" | |
| def get_current_time(): | |
| now = datetime.now() | |
| now2 = now | |
| current_time = now2.strftime("%Y-%m-%d %H:%M:%S") | |
| ki = f'{kii} {current_time}' | |
| return ki | |
| 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: | |
| return None | |
| models_load.update({model: m}) | |
| load_fn(models) | |
| num_models = len(models) | |
| 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, 9999)) | |
| return models_load[model_str](f'{prompt} {noise}') | |
| def make_me(): | |
| with gr.Tab('The Dream'): | |
| txt_input = gr.Textbox(label='Your prompt:', lines=4, value=kii).style(container=False, min_width=600, min_height=300) | |
| gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total').style(max_width=400, max_height=200) | |
| stop_button = gr.Button('Stop', variant='secondary', interactive=False).style(max_width=400, max_height=200) | |
| 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, min_width=280) for m in default_models] | |
| current_models = [gr.Textbox(m, visible=true) 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 from the 800 available!', 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) | |
| 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> | |
| """) | |
| with gr.Blocks(css=".toast-wrap {position:absolute!important; bottom:0%!important; top:auto!important; display:none!important; }") as demo: | |
| make_me() | |
| demo.queue(concurrency_count=200) | |
| demo.launch() | |