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from PIL import Image | |
import gradio as gr | |
from random import randint | |
import torch | |
import os | |
os.environ["CUDA_VISIBLE_DEVICES"] = "" # Отключаем CUDA | |
device = "cpu" # Используем CPU | |
model_repo_id = "stabilityai/sdxl-turbo" | |
torch_dtype = torch.float32 # Тип данных для CPU | |
# Список доступных моделей | |
models = [ | |
'stabilityai/stable-diffusion-3.5-large-turbo', | |
'black-forest-labs/FLUX.1-dev', | |
'strangerzonehf/Flux-Isometric-3D-LoRA', | |
'ckpt/kivotos-xl-2.0', | |
'stabilityai/stable-diffusion-3.5-large', | |
'yodayo-ai/clandestine-xl-1.0', | |
'yodayo-ai/kivotos-xl-2.0', | |
'yodayo-ai/holodayo-xl-2.1', | |
'prithivMLmods/SD3.5-Large-Anime-LoRA', | |
'FluffyKaeloky/Midnight-Miqu-103B-v1.5', | |
'cagliostrolab/animagine-xl-3.1', | |
'votepurchase/ponyDiffusionV6XL', | |
'eienmojiki/Anything-XL', | |
'eienmojiki/Starry-XL-v5.2', | |
"digiplay/MilkyWonderland_v1", | |
'Sombressoul/Yi-34B-200K-AWQ', | |
'digiplay/majicMIX_realistic_v7', | |
'votepurchase/counterfeitV30_v30', | |
'Linaqruf/animagine-xl-2.0', | |
'KBlueLeaf/Kohaku-XL-Epsilon-rev3', | |
'KBlueLeaf/Kohaku-XL-Zeta', | |
'kayfahaarukku/UrangDiffusion-1.4', | |
'Eugeoter/artiwaifu-diffusion-2.0', | |
'Raelina/Rae-Diffusion-XL-V2', | |
'Raelina/Raemu-XL-V4', | |
'Jonjew/NSFWMaster', | |
] | |
# Загрузка моделей | |
def load_fn(models): | |
global models_load | |
models_load = {} | |
for model in models: | |
try: | |
models_load[model] = gr.load(f'models/{model}') | |
except Exception as e: | |
print(f"Failed to load model {model}: {e}") | |
models_load[model] = gr.Interface(lambda txt: None, ['text'], ['image']) | |
load_fn(models) | |
num_models = len(models) | |
default_models = models[:num_models] | |
def extend_choices(choices): | |
return choices + (num_models - len(choices)) * ['NA'] | |
# Обновление изображения | |
def update_imgbox(choices, width, height): | |
choices_plus = extend_choices(choices) | |
return [ | |
gr.Image( | |
None, | |
label=m, | |
visible=(m != 'NA'), | |
elem_id="custom_image", | |
width=width, | |
height=height | |
) for m in choices_plus | |
] | |
# Функция генерации | |
def gen_fn(model_str, prompt, width, height): | |
if model_str == 'NA' or model_str not in models_load: | |
return None | |
try: | |
result = models_load[model_str](prompt) | |
if isinstance(result, str): | |
result = Image.open(result) | |
if isinstance(result, Image.Image): | |
result = result.resize((width, height)) | |
return result | |
except Exception as e: | |
print(f"Error generating image for model {model_str}: {e}") | |
return None | |
noise = str(randint(0, 9999999) | |
return models_load[model_str](f'{prompt} {noise}') | |
# Функция основного интерфейса | |
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="Enter your prompt here" | |
) | |
width_slider = gr.Slider( | |
minimum=100, maximum=1000, step=50, value=250, label="Width" | |
) | |
height_slider = gr.Slider( | |
minimum=100, maximum=1000, step=50, value=250, label="Height" | |
) | |
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") | |
with gr.Row(): | |
half = len(default_models) // 2 | |
output_row1 = [gr.Image(label=m, elem_id="custom_image") for m in default_models[:half]] | |
output_row2 = [gr.Image(label=m, elem_id="custom_image") for m in default_models[half:]] | |
# Привязка генерации к кнопке | |
for i, model in enumerate(default_models): | |
row = output_row1 if i < half else output_row2 | |
row[i % half] = gr.Image(label=model, elem_id="custom_image") | |
gen_button.click(gen_fn, inputs=[model, txt_input, width_slider, height_slider], outputs=row[i % half]) | |
with gr.Accordion('Model selection', elem_id="custom_accordion"): | |
model_choice = gr.CheckboxGroup( | |
choices=models, | |
label=f'{len(models)} available models', | |
value=default_models, | |
elem_id="custom_checkbox_group" | |
) | |
model_choice.change( | |
update_imgbox, | |
inputs=[model_choice, width_slider, height_slider], | |
outputs=[output_row1, output_row2] | |
) | |
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 { | |
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; | |
} | |
@media (max-width: 768px) { | |
.gradio-container { | |
width: 100%; | |
margin: 0; | |
padding: 10px; | |
} | |
.custom_textbox,.custom_image,.custom_checkbox_group { | |
width: 100%; | |
box-sizing: border-box; | |
} | |
} | |
""" | |
with gr.Blocks(css=custom_css) as demo: | |
make_me() | |
# Очередь и запуск интерфейса с параметрами | |
demo.queue(default_concurrency_limit=340, max_size=400) | |
demo.launch(max_threads=400, ssr_mode=False) | |
demo.queue(concurrency_count=50) | |
demo.launch() |