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import gradio as gr | |
from random import randint | |
from all_models import models | |
from datetime import datetime | |
now2 = 0 | |
kii = "femboys crawling, anal oral sex orgy, pulling anus open with fingers, laying on couch, glans in mouth, tiny penis, tiny testicles, long flowing hair, perfect hands , perfect fingers, ass above face, holding legs back, squirting dairy cream from anus, peeing from glans, peeing in mouth, " | |
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: | |
m = gr.Interface(lambda txt: None, ['text'], ['image']) | |
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'): | |
with gr.Row(): | |
txt_input = gr.Textbox(label='Your prompt:', lines=2, value=kii) | |
gen_button = gr.Button('Generate images ') | |
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: 100%; margin: 0 auto;"> | |
# <!--div> | |
# <body> | |
# </body> | |
# </div--> | |
# </div> | |
#""") | |
with gr.Row(): | |
output = [gr.Image(label=m, min_width=250) 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() as demo: | |
make_me() | |
demo.queue(concurrency_count=200) | |
demo.launch() | |