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import gradio as gr |
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import random |
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from all_models import models |
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ii=0 |
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def generate_text_with_random_number(): |
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random_number = randint(1, 100) |
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kii = "nude femboy sissy with small penis, bound anal sex orgy party, perfect penis, oral sex, threesum, head between thighs, glans inside mouth, cuming from glans" |
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ki=f'{kii} {ii}' |
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return ki |
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def process_text(input_text): |
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return f"You entered: {input_text}" |
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def load_fn(models): |
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ki=generate_text_with_random_number() |
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global models_load |
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models_load = {} |
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for model in models: |
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if model not in models_load.keys(): |
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try: |
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m = gr.load(f'models/{model}') |
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except Exception as error: |
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m = gr.Interface(lambda txt: None, ['text'], ['image']) |
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models_load.update({model: m}) |
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load_fn(models) |
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num_models = len(models) |
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default_models = models[:num_models] |
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def extend_choices(choices): |
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return choices + (num_models - len(choices)) * ['NA'] |
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def update_imgbox(choices): |
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choices_plus = extend_choices(choices) |
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus] |
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def gen_fn(model_str, prompt): |
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if model_str == 'NA': |
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return None |
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noise = str('') |
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return models_load[model_str](f'{prompt} {noise}') |
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with gr.Blocks() as demo: |
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with gr.Tab('The Dream'): |
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fn=process_text, |
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txt_input = gr.Textbox(label = 'Your prompt:', lines=4, value=generate_text_with_random_number() ).style(container=False,min_width=1200) |
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gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total') |
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stop_button = gr.Button('Stop', variant = 'secondary', interactive = False) |
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gen_button.click(lambda s: gr.update(interactive = True,ii=random.randint(1,100)), None, stop_button) |
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gr.HTML( |
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""" |
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;"> |
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<div> |
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<body> |
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<div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p> |
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</div> |
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</body> |
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</div> |
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</div> |
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""" |
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) |
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with gr.Row(): |
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output = [gr.Image(label = m, min_width=480) for m in default_models] |
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current_models = [gr.Textbox(m, visible = False) for m in default_models] |
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for m, o in zip(current_models, output): |
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gen_event = gen_button.click(gen_fn, [m, txt_input], o) |
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stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event]) |
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with gr.Accordion('Model selection'): |
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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) |
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model_choice.change(update_imgbox, model_choice, output) |
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model_choice.change(extend_choices, model_choice, current_models) |
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with gr.Row(): |
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gr.HTML( |
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""" |
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<div class="footer"> |
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<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! |
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</p> |
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""" |
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) |
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demo.queue(concurrency_count = 200) |
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demo.launch() |
