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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 externalmod import gr_Interface_load |
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import asyncio |
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import os |
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from threading import RLock |
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lock = RLock() |
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HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None |
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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_Interface_load(f'models/{model}', hf_token=HF_TOKEN) |
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except Exception as error: |
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print(error) |
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m = gr.Interface(lambda: 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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MAX_SEED = 3999999999 |
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default_models = models[:num_models] |
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inference_timeout = 600 |
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starting_seed = randint(1941, 2024) |
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def extend_choices(choices): |
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return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA'] |
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def update_imgbox(choices): |
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choices_plus = extend_choices(choices[:num_models]) |
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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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async def infer(model_str, prompt, seed=1, timeout=inference_timeout): |
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from pathlib import Path |
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kwargs = {} |
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noise = "" |
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kwargs["seed"] = seed |
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task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, |
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prompt=f'{prompt} {noise}', **kwargs, token=HF_TOKEN)) |
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await asyncio.sleep(0) |
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try: |
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result = await asyncio.wait_for(task, timeout=timeout) |
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except (Exception, asyncio.TimeoutError) as e: |
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print(e) |
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print(f"Task timed out: {model_str}") |
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if not task.done(): task.cancel() |
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result = None |
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if task.done() and result is not None: |
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with lock: |
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png_path = "image.png" |
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result.save(png_path) |
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image = str(Path(png_path).resolve()) |
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return image |
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return None |
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def gen_fnseed(model_str, prompt, seed=1): |
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if model_str == 'NA': |
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return None |
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try: |
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loop = asyncio.new_event_loop() |
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result = loop.run_until_complete(infer(model_str, prompt, seed, inference_timeout)) |
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except (Exception, asyncio.CancelledError) as e: |
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print(e) |
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print(f"Task aborted: {model_str}") |
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result = None |
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finally: |
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loop.close() |
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return result |
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css=""" |
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.wrapper img {font-size: 98% !important; white-space: nowrap !important; text-align: center !important; |
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display: inline-block !important;} |
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""" |
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with gr.Blocks(css=css) as demo: |
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with gr.Tab('Toy World'): |
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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 3 minutes total') |
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gen_button.click(lambda s: gr.update(interactive = True), None) |
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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 = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn, |
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inputs=[m, txt_input], outputs=[o], concurrency_limit=None, queue=False) |
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with gr.Accordion('Model selection'): |
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model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', 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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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/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <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! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a> |
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</p> |
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""" |
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) |
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with gr.Tab('🌱 Use seeds!'): |
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txt_inputseed = gr.Textbox(label='Your prompt:', lines=4) |
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gen_buttonseed = gr.Button('Generate up to 6 images with the same seed in up to 3 minutes total') |
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seed = gr.Slider(label="Use a seed to replicate the same image later (maximum 3999999999)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3) |
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gen_buttonseed.click(lambda s: gr.update(interactive = True), None) |
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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_eventseed = gr.on(triggers=[gen_buttonseed.click, txt_inputseed.submit], fn=gen_fnseed, |
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inputs=[m, txt_inputseed, seed], outputs=[o], concurrency_limit=None, queue=False) |
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with gr.Accordion('Model selection'): |
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model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', 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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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/John6666/hfd_test_nostopbutton">Huggingface NoStopButton</a> Space by John6666, <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! For 6 images with the same model check out the <a href="https://huggingface.co/spaces/Yntec/PrintingPress">Printing Press</a>, for the classic UI with prompt enhancer try <a href="https://huggingface.co/spaces/Yntec/blitz_diffusion">Blitz Diffusion!</a> |
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</p> |
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""" |
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) |
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demo.queue(default_concurrency_limit=200, max_size=200) |
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demo.launch(show_api=False, max_threads=400) |
