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| import gradio as gr | |
| from random import randint | |
| from all_models import models | |
| from externalmod import gr_Interface_load | |
| import asyncio | |
| import os | |
| from threading import RLock | |
| lock = RLock() | |
| HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary. | |
| def load_fn(models): | |
| global models_load | |
| models_load = {} | |
| for model in models: | |
| if model not in models_load.keys(): | |
| try: | |
| m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN) | |
| except Exception as error: | |
| print(error) | |
| m = gr.Interface(lambda: None, ['text'], ['image']) | |
| models_load.update({model: m}) | |
| load_fn(models) | |
| num_models = 1 | |
| default_models = models[:num_models] | |
| inference_timeout = 600 | |
| 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('') #str(randint(0, 99999999999)) | |
| return models_load[model_str](f'{prompt} {noise}') | |
| def gen_fnsix(model_str, prompt): | |
| if model_str == 'NA': | |
| return None | |
| noisesix = str(randint(1941, 2023)) #str(randint(0, 99999999999)) | |
| return models_load[model_str](f'{prompt} {noisesix}') | |
| with gr.Blocks() as demo: | |
| gr.HTML( | |
| """ | |
| <div> | |
| <p> <center><img src="https://huggingface.co/Yntec/OpenGenDiffusers/resolve/main/mpp.png" style="height:128px; width:469px; margin-top: -22px; margin-bottom: -64px;" span title="Free ai art image generator Printing Press"></center> | |
| </p> | |
| """ | |
| ) | |
| gr.HTML( | |
| """ | |
| <div> | |
| <p> <center>For more than 900 models visit the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>!</center> | |
| </p></div> | |
| """ | |
| ) | |
| with gr.Tab('One Image'): | |
| model_choice = gr.Dropdown(models, label = f'Choose a model from the {len(models)} available! Try clearing the box and typing on it to filter them!', value = models[0], filterable = True) | |
| txt_input = gr.Textbox(label = 'Your prompt:') | |
| max_imagesone = 1 | |
| num_imagesone = gr.Slider(1, max_imagesone, value = max_imagesone, step = 1, label = 'Nobody gets to see this label so I can put here whatever I want!', visible = False) | |
| gen_button = gr.Button('Generate') | |
| #stop_button = gr.Button('Stop', variant = 'secondary', interactive = False) | |
| gen_button.click(lambda s: gr.update(interactive = True), None) | |
| with gr.Row(): | |
| output = [gr.Image(label = '') for _ in range(max_imagesone)] | |
| for i, o in enumerate(output): | |
| img_in = gr.Number(i, visible = False) | |
| num_imagesone.change(lambda i, n: gr.update(visible = (i < n)), [img_in, num_imagesone], o, show_progress = False) | |
| gen_event = gen_button.click(lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, [img_in, num_imagesone, model_choice, txt_input], o, concurrency_limit=None, queue=False) | |
| #stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event]) | |
| 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, Omnibus's Maximum Multiplier, <a href="https://huggingface.co/spaces/Yntec/Diffusion60XX">Diffusion60XX</a> and <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! | |
| </p> | |
| """ | |
| ) | |
| with gr.Tab('Up To Six'): | |
| model_choice2 = gr.Dropdown(models, label = f'Choose a model from the {len(models)} available! Try clearing the box and typing on it to filter them!', value = models[0], filterable = True) | |
| txt_input2 = gr.Textbox(label = 'Your prompt:') | |
| max_images = 6 | |
| num_images = gr.Slider(1, max_images, value = max_images, step = 1, label = 'Number of images (if you want less than 6 decrease them slowly until they match the boxes below)') | |
| gen_button2 = gr.Button('Generate up to 6 images in up to 3 minutes total') | |
| #stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False) | |
| gen_button2.click(lambda s: gr.update(interactive = True), None) | |
| 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 (they generate in a random order).</p> | |
| </div> | |
| </body> | |
| </div> | |
| </div> | |
| """ | |
| ) | |
| with gr.Column(): | |
| output2 = [gr.Image(label = '') for _ in range(max_images)] | |
| for i, o in enumerate(output2): | |
| img_i = gr.Number(i, visible = False) | |
| num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o, show_progress = False) | |
| gen_event2 = gen_button2.click(lambda i, n, m, t: gen_fnsix(m, t) if (i < n) else None, [img_i, num_images, model_choice2, txt_input2], o, concurrency_limit=None, queue=False) | |
| #stop_button2.click(lambda s: gr.update(interactive = False), None, stop_button2, cancels = [gen_event2]) | |
| 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, Omnibus's Maximum Multiplier and <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! | |
| </p> | |
| """ | |
| ) | |
| demo.queue(default_concurrency_limit=200, max_size=200) | |
| demo.launch(show_api=False, max_threads=400) |