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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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from datetime import datetime |
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from concurrent.futures import ThreadPoolExecutor |
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import requests |
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now2 = 0 |
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kii=" mohawk femboy racecar driver " |
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def get_current_time(): |
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now = datetime.now() |
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now2 = now |
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current_time = now2.strftime("%Y-%m-%d %H:%M:%S") |
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ki = f'{kii} {current_time}' |
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return ki |
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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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print(f"Error loading model {model}: {error}") |
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m = gr.Interface(lambda _: None, inputs=gr.Textbox(), outputs=gr.Image(), enable_queue=False) |
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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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executor = ThreadPoolExecutor(max_workers=num_models) |
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def gen_fn(model_str, prompt, negative_prompt): |
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if model_str == 'NA': |
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return None |
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noise = str(randint(0, 9999)) |
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combined_prompt = f'{prompt} {model_str} {negative_prompt} {noise}' |
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print(f"Generating with prompt: {combined_prompt}") |
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try: |
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image_response = models_load[model_str](f'{prompt} {negative_prompt} {noise}') |
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if isinstance(image_response, tuple): |
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image_response = image_response[0] |
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if isinstance(image_response, gr.Image): |
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return image_response |
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elif isinstance(image_response, str): |
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return gr.Image(image_response) |
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else: |
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print(f"Unexpected response type: {type(image_response)}") |
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return None |
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except Exception as e: |
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print(f"Error occurred: {e}") |
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return None |
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def make_me(): |
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with gr.Row(): |
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txt_input = gr.Textbox(lines=2, value=kii) |
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negative_prompt_input = gr.Textbox(lines=2, value="", label="Negative Prompt") |
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gen_button = gr.Button('Generate images') |
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stop_button = gr.Button('Stop', variant='secondary', interactive=False) |
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gen_button.click(lambda _: gr.update(interactive=True), None, stop_button) |
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gr.HTML(""" |
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<div style="text-align: center; max-width: 100%; margin: 0 auto;"> |
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<body> |
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</body> |
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</div> |
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""") |
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with gr.Row(): |
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output = [gr.Image(label=m) 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, negative_prompt_input], o, queue=False) |
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with gr.Accordion('Model selection'): |
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model_choice = gr.CheckboxGroup(models, label=f' {num_models} different models selected', value=default_models, interactive=True) |
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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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js_code = """ |
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<script> |
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const originalScroll = window.scrollTo; |
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const originalShowToast = gradio.Toast.show; |
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gradio.Toast.show = function() { |
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originalShowToast.apply(this, arguments); |
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window.scrollTo = function() {};}; |
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setTimeout(() => { |
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window.scrollTo = originalScroll; |
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}, 300000); // Restore scroll function after 3 seconds |
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</script> |
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""" |
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with gr.Blocks(css=""" |
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label.float.svelte-i3tvor { top:auto!important; bottom: 0; position: absolute; background: rgba(0,0,0,0.0); left: var(--block-label-margin); color: rgba(200,200,200,.7);} |
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.genbut { max-width: 50px; max-height: 30px; width:150px; height:30px} |
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.stopbut { max-width: 50px; max-height: 30px; width:150px; height:30px} |
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.float.svelte-1mwvhlq { position: absolute; top: var(--block-label-margin); left: var(--block-label-margin); background: none; border: none;} |
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""") as demo: |
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gr.Markdown("<script>" + js_code + "</script>") |
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make_me() |
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demo.queue() |
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demo.queue = False |
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demo.config["queue"] = False |
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demo.launch(max_threads=200) |
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