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import gradio as gr
from random import randint
from all_models import models
from datetime import datetime
def get_current_time():
now = datetime.now()
now2 = now
current_time = now2.strftime("%Y-%m-%d %H:%M:%S")
ki = f'{current_time}'
return ki
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 = len(models)
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'), elem_id="custom_image") for m in choices_plus]
def gen_fn(model_str, prompt, negative_prompt, max_retries=10):
if model_str == 'NA':
return None
retries = 0
while retries < max_retries:
try:
noise = str(randint(0, 9999999))
if hasattr(models_load[model_str], 'negative_prompt'):
result = models_load[model_str](f'{prompt} {noise}', negative_prompt=negative_prompt)
else:
result = models_load[model_str](f'{prompt} {noise}')
return result
except Exception as e:
# Check for specific error messages or status codes
if "CUDA out of memory" in str(e) or "500" in str(e):
print(f"CUDA out of memory or server error: {e}")
else:
print(f"Error generating image: {e}")
retries += 1
if retries >= max_retries:
raise Exception(f"Failed to generate image after {max_retries} retries.")
return None
def img_to_img_fn(model_str, image, prompt, negative_prompt, max_retries=10):
if model_str == 'NA' or image is None:
return None
retries = 0
while retries < max_retries:
try:
noise = str(randint(0, 9999999))
if hasattr(models_load[model_str], 'negative_prompt'):
result = models_load[model_str](image, prompt=f'{prompt} {noise}', negative_prompt=negative_prompt)
else:
result = models_load[model_str](image, prompt=f'{prompt} {noise}')
return result
except Exception as e:
# Check for specific error messages or status codes
if "CUDA out of memory" in str(e) or "500" in str(e):
print(f"CUDA out of memory or server error: {e}")
else:
print(f"Error generating image: {e}")
retries += 1
if retries >= max_retries:
raise Exception(f"Failed to generate image after {max_retries} retries.")
return None
def make_text_to_image():
with gr.Row():
with gr.Column(scale=1):
txt_input = gr.Textbox(label='Your prompt:', lines=3, container=False, elem_id="custom_textbox", placeholder="Prompt")
negative_txt_input = gr.Textbox(label='Negative prompt:', lines=3, container=False, elem_id="custom_negative_textbox", placeholder="Negative Prompt")
with gr.Row():
gen_button = gr.Button('Generate images', elem_id="custom_gen_button")
stop_button = gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
def on_generate_click():
return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=True, elem_id="custom_stop_button")
def on_stop_click():
return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
with gr.Row():
output = [gr.Image(label=m, min_width=250, height=250, elem_id="custom_image") 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, negative_txt_input], o)
stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button], cancels=[gen_event])
with gr.Accordion('Model selection', elem_id="custom_accordion"):
model_choice = gr.CheckboxGroup(models, label=f'{num_models} different models selected', value=default_models, interactive=True, elem_id="custom_checkbox_group")
model_choice.change(update_imgbox, model_choice, output)
model_choice.change(extend_choices, model_choice, current_models)
def make_image_to_image():
with gr.Row():
with gr.Column(scale=1):
img_input = gr.Image(label='Input Image', type='pil')
txt_input = gr.Textbox(label='Your prompt:', lines=3, container=False, elem_id="custom_textbox", placeholder="Prompt")
negative_txt_input = gr.Textbox(label='Negative prompt:', lines=3, container=False, elem_id="custom_negative_textbox", placeholder="Negative Prompt")
with gr.Row():
gen_button = gr.Button('Generate images', elem_id="custom_gen_button")
stop_button = gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
def on_generate_click():
return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=True, elem_id="custom_stop_button")
def on_stop_click():
return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
with gr.Row():
output = [gr.Image(label=m, min_width=250, height=250, elem_id="custom_image") 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(img_to_img_fn, [m, img_input, txt_input, negative_txt_input], o)
stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button], cancels=[gen_event])
with gr.Accordion('Model selection', elem_id="custom_accordion"):
model_choice = gr.CheckboxGroup(models, label=f'{num_models} different models selected', value=default_models, interactive=True, elem_id="custom_checkbox_group")
model_choice.change(update_imgbox, model_choice, output)
model_choice.change(extend_choices, model_choice, current_models)
custom_css = """
/* Your existing CSS styles here */
"""
with gr.Blocks(css=custom_css) as demo:
with gr.Tabs():
with gr.TabItem("Text-to-Image"):
make_text_to_image()
with gr.TabItem("Image-to-Image"):
make_image_to_image()
demo.queue(concurrency_count=500)
demo.launch() |