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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 = 6
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, negative_prompt=None, image_style="Default"):
if model_str == 'NA':
return None
modified_prompt = f"{prompt}, {image_style}"
if negative_prompt:
modified_prompt += f", not {negative_prompt}"
return models_load[model_str](modified_prompt)
with gr.Blocks() as demo:
with gr.Tab('The Dream'):
txt_input = gr.Textbox(label='Your prompt:', lines=4)
neg_prompt = gr.Textbox(label='Negative prompt (Optional):', placeholder='Enter undesirable attributes here', lines=2)
image_style = gr.Dropdown(label='Select Style', choices=["Default", "Cinematic", "Digital Art", "Portrait"], value="Default")
gen_button = gr.Button('Generate up to 6 images in up to 1 minutes total')
stop_button = gr.Button('Stop', variant='secondary', interactive=False)
gen_button.click(lambda s: gr.update(interactive=True), None, stop_button)
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 = gen_button.click(gen_fn, [m, txt_input, neg_prompt, image_style], o)
stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_event])
with gr.Accordion('Model selection'):
model_choice = gr.CheckboxGroup(models, label=f'Choose up to {num_models} different models from the best available!', value=default_models, multiselect=True, max_choices=num_models, interactive=True, filterable=False)
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>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() |