import gradio as gr from random import randint from all_models import models 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 = 1 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('') #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/pp.png" style="height:128px; width:482px; margin-top: -22px; margin-bottom: -44px;" span title="Free ai art image generator Printing Press"></center> </p> """ ) with gr.Tab('One Image'): model_choice = gr.Dropdown(models, label = 'Choose a model from the 804 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, stop_button) 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) 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 = 'Choose a model from the 804 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, stop_button2) 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) 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, <a href="https://huggingface.co/spaces/Yntec/Diffusion60XX">Diffusion60XX</a> and <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! </p> """ ) demo.queue(concurrency_count = 200) demo.launch()