Spaces:
Runtime error
Runtime error
File size: 2,813 Bytes
9405fcc 400833e e9ee4ce 9405fcc e9ee4ce 400833e 9405fcc 02001b9 9405fcc b7236f0 a29b766 9405fcc 07eca3d 2ba3409 9405fcc 2ba3409 9405fcc 7d6469d 9405fcc edd0581 dfa10ec edd0581 4a7ad4a bd650f6 470c2d7 4a7ad4a bd650f6 4a7ad4a bd650f6 4a7ad4a bd650f6 4a7ad4a bd650f6 9405fcc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
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}')
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; padding-top:0px;" span title="Free ai art image generator Printing Press"></center>
</p>
"""
)
with gr.Tab('Printing Press'):
model_choice2 = gr.Dropdown(models, label = 'Choose model', value = models[0], filterable = False)
txt_input2 = gr.Textbox(label = 'Prompt text')
max_images = 1
num_images = gr.Slider(1, max_images, value = max_images, step = 1, label = 'Number of images')
gen_button2 = gr.Button('Generate')
stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False)
gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2)
with gr.Row():
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_fn(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 and Omnibus's Maximum Multiplier!
</p>
"""
)
demo.queue(concurrency_count = 200)
demo.launch() |