| import gradio as gr |
| from random import randint |
| from all_models import models |
|
|
| from externalmod import gr_Interface_load, randomize_seed |
|
|
| 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 |
|
|
|
|
| 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 = 9 |
|
|
| default_models = models[:num_models] |
| inference_timeout = 600 |
| MAX_SEED=666666666 |
| starting_seed = randint(666666000, 666666666) |
|
|
| def extend_choices(choices): |
| return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA'] |
|
|
|
|
| def update_imgbox(choices): |
| choices_plus = extend_choices(choices[:num_models]) |
| return [gr.Image(None, label=m, visible=(m!='NA')) for m in choices_plus] |
|
|
| async def infer(model_str, prompt, seed=1, timeout=inference_timeout): |
| from pathlib import Path |
| kwargs = {} |
| noise = "" |
| kwargs["seed"] = seed |
| task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, |
| prompt=f'{prompt} {noise}', **kwargs, token=HF_TOKEN)) |
| await asyncio.sleep(0) |
| try: |
| result = await asyncio.wait_for(task, timeout=timeout) |
| except (Exception, asyncio.TimeoutError) as e: |
| print(e) |
| print(f"Task timed out: {model_str}") |
| if not task.done(): task.cancel() |
| result = None |
| if task.done() and result is not None: |
| with lock: |
| png_path = "image.png" |
| result.save(png_path) |
| image = str(Path(png_path).resolve()) |
| return image |
| return None |
|
|
|
|
| def gen_fnseed(model_str, prompt, seed=1): |
| if model_str == 'NA': |
| return None |
| try: |
| loop = asyncio.new_event_loop() |
| result = loop.run_until_complete(infer(model_str, prompt, seed, inference_timeout)) |
| except (Exception, asyncio.CancelledError) as e: |
| print(e) |
| print(f"Task aborted: {model_str}") |
| result = None |
| finally: |
| loop.close() |
| return result |
|
|
| with gr.Blocks(theme='Yntec/HaleyCH_Theme_Orange') as demo: |
| with gr.Tab('🤗 November 2024 is the date this space was launched 🤗'): |
| txt_input = gr.Textbox(label='Your prompt:', lines=4) |
| gen_button = gr.Button('Generate up to 99 images in up to 3 minutes total') |
| with gr.Row(): |
| seed = gr.Slider(label="Use a seed to replicate the same image later (maximum 666666666)", minimum=0, maximum=MAX_SEED, step=1, value=starting_seed, scale=3) |
| seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary", scale=1) |
| seed_rand.click(randomize_seed, None, [seed], queue=False) |
| |
| |
| gen_button.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 and select models.</p> |
| </div> |
| </body> |
| </div> |
| </div> |
| """ |
| ) |
| with gr.Row(): |
| output = [gr.Image(label = m, min_width=480) for m in default_models] |
| current_models = [gr.Textbox(m, visible = False) for m in default_models] |
| |
| for m, o in zip(current_models, output): |
| gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fnseed, |
| inputs=[m, txt_input, seed], outputs=[o], concurrency_limit=None, queue=False) |
| |
| with gr.Accordion('Model selection'): |
| model_choice = gr.CheckboxGroup(models, label = 'Untick the models you will not be using', value=default_models, interactive=True) |
| |
| model_choice.change(update_imgbox, model_choice, output) |
| model_choice.change(extend_choices, model_choice, current_models) |
| with gr.Row(): |
| gr.HTML( |
| """ |
| <div class="footer"> |
| <p> For more than a hundred times more models (that's not a typo) check out <a href="https://huggingface.co/spaces/Yntec/HuggingfaceDiffusion">Huggingface Diffusion</a>!</a> |
| </p> |
| """ |
| ) |
|
|
| demo.queue(default_concurrency_limit=200, max_size=200) |
| demo.launch(show_api=False, max_threads=400) |