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import gradio as gr |
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from random import randint |
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from all_models import models |
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def load_fn(models): |
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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 = 6 |
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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, negative_prompt=None, image_style="Default"): |
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if model_str == 'NA': |
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return None |
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modified_prompt = f"{prompt}, {image_style}" |
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if negative_prompt: |
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modified_prompt += f", not {negative_prompt}" |
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return models_load[model_str](modified_prompt) |
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with gr.Blocks() as demo: |
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with gr.Tab('The Dream'): |
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txt_input = gr.Textbox(label='Your prompt:', lines=4) |
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gen_button = gr.Button('Generate up to 6 images in up to 1 minutes total') |
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stop_button = gr.Button('Stop', variant='secondary', interactive=False) |
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with gr.Accordion("Advanced Settings", open=False) as advanced_settings: |
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neg_prompt = gr.Textbox(label='Negative prompt (Optional):', placeholder='Enter undesirable attributes here', lines=2) |
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image_style = gr.Dropdown(label='Select Style', choices=["Default", "Cinematic", "Digital Art", "Portrait"], value="Default") |
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gen_button.click(lambda s: gr.update(interactive=True), 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, neg_prompt, image_style], 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 best 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() |