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import gradio as gr | |
from random import randint | |
from all_models import models | |
from datetime import datetime | |
import time | |
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, progress=gr.Progress()): | |
if model_str == 'NA': | |
return None, "" | |
retries = 0 | |
feedback = "" | |
while retries < max_retries: | |
try: | |
noise = str(randint(0, 9999999)) | |
with progress(tracker=True) as pbar: | |
for step in range(1, 101): | |
time.sleep(0.05) # Simulate work being done | |
pbar(step / 100) | |
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}') | |
feedback += f"{get_current_time()} - Attempt {retries + 1}: Success for {model_str}\n" | |
return result, feedback | |
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): | |
feedback += f"{get_current_time()} - CUDA out of memory or server error for {model_str}: {e}\n" | |
else: | |
feedback += f"{get_current_time()} - Error generating image for {model_str}: {e}\n" | |
retries += 1 | |
if retries >= max_retries: | |
feedback += f"{get_current_time()} - Failed to generate image after {max_retries} retries for {model_str}\n" | |
raise Exception(f"Failed to generate image after {max_retries} retries for {model_str}.") | |
return None, feedback | |
def make_me(): | |
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 = [] | |
progress_bars = [] | |
progress_labels = [] | |
feedback_box = gr.Textbox(label="Feedback", lines=10, interactive=False, elem_id="custom_feedback_box") | |
current_models = [gr.Textbox(m, visible=False) for m in default_models] | |
for m in default_models: | |
if m != 'NA': | |
progress_label = gr.Markdown(value=f"**Progress for {m}**") | |
progress_bar = gr.Progress() | |
output.append(gr.Image(label=m, min_width=250, height=250, elem_id="custom_image")) | |
progress_labels.append(progress_label) | |
progress_bars.append(progress_bar) | |
else: | |
output.append(gr.Image(label=m, visible=False, elem_id="custom_image")) | |
progress_labels.append(gr.Markdown(value="", visible=False)) | |
progress_bars.append(gr.Progress(visible=False)) | |
for m, o, p, l, c in zip(current_models, output, progress_bars, progress_labels, default_models): | |
gen_event = gen_button.click(gen_fn, [m, txt_input, negative_txt_input, gr.Slider(1, 10, value=10, label="Max Retries"), p], [o, feedback_box]) | |
stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button]) | |
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) | |
with gr.Row(): | |
gr.HTML("") | |
custom_css = """ | |
:root { | |
--body-background-fill: #2d3d4f; | |
} | |
body { | |
background-color: var(--body-background-fill) !important; | |
color: #2d3d4f; | |
margin: 0; | |
padding: 0; | |
font-family: Arial, sans-serif; | |
height: 100vh; | |
overflow-y: auto; | |
} | |
.gradio-container { | |
background-color: #2d3d4f; | |
color: #c5c6c7; | |
padding: 20px; | |
border-radius: 8px; | |
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); | |
width: 100%; | |
max-width: 1200px; | |
margin: 20px auto; | |
display: block; | |
min-height: 100vh; | |
} | |
.app_title { | |
background-color: #2d3d4f; | |
color: #c5c6c7; | |
padding: 10px 20px; | |
border-bottom: 1px solid #3b4252; | |
text-align: center; | |
font-size: 24px; | |
font-weight: bold; | |
width: 100%; | |
box-sizing: border-box; | |
margin-bottom: 20px; | |
} | |
.custom_textbox, .custom_negative_textbox { | |
background-color: #2d343f; | |
border: 1px solid #3b4252; | |
color: #7f8184; | |
padding: 10px; | |
border-radius: 4px; | |
margin-bottom: 10px; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.custom_gen_button { | |
background-color: #8b38ff; | |
border: 1px solid #ffffff; | |
color: blue; | |
padding: 15px 32px; | |
text-align: center; | |
text-decoration: none; | |
display: inline-block; | |
font-size: 16px; | |
margin: 4px 2px; | |
cursor: pointer; | |
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); | |
transition: transform 0.2s, box-shadow 0.2s; | |
border-radius: 4px; | |
} | |
.custom_gen_button:hover { | |
transform: translateY(-2px); | |
box-shadow: 0 6px 10px rgba(0, 0, 0, 0.3); | |
} | |
.custom_stop_button { | |
background-color: #6200ea; | |
border: 1px solid #ffffff; | |
color: blue; | |
padding: 15px 32px; | |
text-align: center; | |
text-decoration: none; | |
display: inline-block; | |
font-size: 16px; | |
margin: 4px 2px; | |
cursor: pointer; | |
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); | |
transition: transform 0.2s, box-shadow 0.2s; | |
border-radius: 4px; | |
} | |
.custom_stop_button:hover { | |
transform: translateY(-2px); | |
box-shadow: 0 6px 10px rgba(0, 0, 0, 0.3); | |
} | |
.custom_image { | |
border: 1px solid #3b4252; | |
background-color: #2d343f; | |
border-radius: 4px; | |
margin: 10px; | |
max-width: 100%; | |
box-sizing: border-box; | |
} | |
.custom_accordion { | |
background-color: #2d3d4f; | |
color: #7f8184; | |
border: 1px solid #3b4252; | |
border-radius: 4px; | |
margin-top: 20px; | |
width: 100%; | |
box-sizing: border-box; | |
transition: margin 0.2s ease; | |
} | |
.custom_accordion .gr-accordion-header { | |
background-color: #2d3d4f; | |
color: #7f8184; | |
padding: 10px 20px; | |
border-bottom: 1px solid #5b6270; | |
cursor: pointer; | |
font-size: 18px; | |
font-weight: bold; | |
height: 40px; | |
display: flex; | |
align-items: center; | |
} | |
.custom_accordion .gr-accordion-header:hover { | |
background-color: #2d3d4f; | |
} | |
.custom_accordion .gr-accordion-content { | |
padding: 10px 20px; | |
background-color: #2d3d4f; | |
border-top: 1px solid #5b6270; | |
max-height: 0; | |
overflow: hidden; | |
transition: max-height 0.2s ease; | |
} | |
.custom_accordion .gr-accordion-content.open { | |
max-height: 500px; | |
} | |
.custom_checkbox_group { | |
background-color: #2d343f; | |
border: 1px solid #3b4252; | |
color: #7f8184; | |
border-radius: 4px; | |
padding: 10px; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.custom_feedback_box { | |
background-color: #2d343f; | |
border: 1px solid #3b4252; | |
color: #7f8184; | |
padding: 10px; | |
border-radius: 4px; | |
margin-top: 10px; | |
width: 100%; | |
box-sizing: border-box; | |
overflow-y: auto; | |
} | |
@media (max-width: 768px) { | |
.gradio-container { | |
width: 100%; | |
margin: 0; | |
padding: 10px; | |
} | |
.custom_textbox, .custom_negative_textbox, .custom_image, .custom_checkbox_group { | |
width: 100%; | |
box-sizing: border-box; | |
} | |
} | |
""" | |
with gr.Blocks(css=custom_css) as demo: | |
make_me() | |
demo.queue(concurrency_count=500) | |
demo.launch() |