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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 | |
from threading import RLock | |
lock = RLock() | |
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}') | |
except Exception as error: | |
print(error) | |
m = gr.Interface(lambda: None, ['text'], ['image']) | |
models_load.update({model: m}) | |
load_fn(models) | |
num_models = 6 | |
max_images = 6 | |
timeout = 60 | |
default_models = models[:num_models] | |
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] | |
def update_imgbox_gallery(choices): | |
choices_plus = extend_choices(choices[:num_models]) | |
return [gr.Gallery(None, label = m, visible = (m != 'NA')) for m in choices_plus] | |
async def infer(model_str, prompt, timeout): | |
from PIL import Image | |
noise = "" | |
rand = randint(1, 500) | |
for i in range(rand): | |
noise += " " | |
task = asyncio.create_task(asyncio.to_thread(models_load[model_str], f'{prompt} {noise}')) | |
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: | |
image = Image.open(result).convert('RGBA') | |
return image | |
return None | |
def gen_fn(model_str, prompt): | |
if model_str == 'NA': | |
return None | |
try: | |
loop = asyncio.new_event_loop() | |
result = loop.run_until_complete(infer(model_str, prompt, timeout)) | |
except (Exception, asyncio.CancelledError) as e: | |
print(e) | |
print(f"Task aborted: {model_str}") | |
result = None | |
finally: | |
loop.close() | |
return result | |
def add_gallery(image, model_str, gallery): | |
if gallery is None: gallery = [] | |
with lock: | |
if image is not None: gallery.insert(0, (image, model_str)) | |
return gallery | |
CSS=""" | |
#container { max-width: 1200px; margin: 0 auto; !important; } | |
.output { width=112px; height=112px; !important; } | |
.gallery { width=100%; min_height=768px; !important; } | |
.guide { text-align: center; !important; } | |
""" | |
with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=CSS) as demo: | |
with gr.Tab('The Dream'): | |
with gr.Column(scale=2): | |
txt_input = gr.Textbox(label='Your prompt:', lines=4) | |
with gr.Row(): | |
gen_button = gr.Button(f'Generate up to {int(num_models)} images in up to 3 minutes total', scale=2) | |
stop_button = gr.Button('Stop', variant='secondary', interactive=False, scale=1) | |
gen_button.click(lambda: gr.update(interactive=True), None, stop_button) | |
gr.Markdown("Scroll down to see more images and select models.", elem_classes="guide") | |
with gr.Column(scale=1): | |
with gr.Group(): | |
with gr.Row(): | |
output = [gr.Image(label=m, show_download_button=True, elem_classes="output", | |
interactive=False, min_width=80, show_share_button=False, format=".png", | |
visible=True) for m in default_models] | |
current_models = [gr.Textbox(m, visible=False) for m in default_models] | |
with gr.Column(scale=2): | |
gallery = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery", | |
interactive=False, show_share_button=True, container=True, format="png", | |
preview=True, object_fit="cover", columns=2, rows=2) | |
for m, o in zip(current_models, output): | |
gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn, inputs=[m, txt_input], outputs=[o]) | |
o.change(add_gallery, [o, m, gallery], [gallery]) | |
stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event]) | |
with gr.Column(scale=4): | |
with gr.Accordion('Model selection'): | |
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) | |
model_choice.change(update_imgbox, model_choice, output) | |
model_choice.change(extend_choices, model_choice, current_models) | |
with gr.Tab('Single model'): | |
with gr.Column(scale=2): | |
model_choice2 = gr.Dropdown(models, label='Choose model', value=models[0]) | |
txt_input2 = gr.Textbox(label='Your prompt:', lines=4) | |
num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images') | |
with gr.Row(): | |
gen_button2 = gr.Button('Generate', scale=2) | |
stop_button2 = gr.Button('Stop', variant='secondary', interactive=False, scale=1) | |
gen_button2.click(lambda: gr.update(interactive = True), None, stop_button2) | |
with gr.Column(scale=1): | |
with gr.Group(): | |
with gr.Row(): | |
output2 = [gr.Image(label='', show_download_button=True, elem_classes="output", | |
interactive=False, min_width=80, visible=True, format=".png", | |
show_share_button=False, show_label=False) for _ in range(max_images)] | |
with gr.Column(scale=2): | |
gallery2 = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery", | |
interactive=False, show_share_button=True, container=True, format="png", | |
preview=True, object_fit="cover", columns=2, rows=2) | |
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) | |
gen_event2 = gr.on(triggers=[gen_button2.click, txt_input2.submit], | |
fn=lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, | |
inputs=[img_i, num_images, model_choice2, txt_input2], outputs=[o]) | |
o.change(add_gallery, [o, model_choice2, gallery2], [gallery2]) | |
stop_button2.click(lambda: gr.update(interactive=False), None, stop_button2, cancels=[gen_event2]) | |
gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!") | |
demo.queue() | |
demo.launch() | |