Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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import os
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from model import models
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from multit2i import (
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load_models, infer_fn, infer_rand_fn, save_gallery,
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change_model, warm_model, get_model_info_md, loaded_models,
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get_positive_prefix, get_positive_suffix, get_negative_prefix, get_negative_suffix,
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get_recom_prompt_type, set_recom_prompt_preset, get_tag_type, randomize_seed, translate_to_en
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# Устанавливаем максимальные значения
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max_images = 8
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MAX_SEED = 2**32
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load_models(models)
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# CSS для оформления
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css = """
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.model_info { text-align: center; }
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.output { width=112px; height=112px; max_width=112px; max_height=112px; !important; }
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.gallery { min_width=512px; min_height=512px; max_height=1024px; !important; }
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"""
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# Функция установки HF_TOKEN
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def set_hf_token(hf_token):
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if hf_token:
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os.environ["HF_TOKEN"] = hf_token # Сохраняем токен в окружении
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return f"✅ HF_TOKEN установлен!", gr.update(value=hf_token, interactive=True)
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else:
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return "❌ Токен не введен!", gr.update(value="", interactive=True)
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# Основной интерфейс
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with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
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with gr.Tab("Settings"): # Вкладка для настройки HF_TOKEN
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gr.Markdown("### Настройки токена Hugging Face")
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hf_token_input = gr.Textbox(label="Введите HF Token", type="password", interactive=True)
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confirm_token = gr.Button("Активировать HF_TOKEN")
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token_status = gr.Markdown("🔴 HF_TOKEN не установлен")
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confirm_token.click(set_hf_token, inputs=[hf_token_input], outputs=[token_status, hf_token_input])
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with gr.Tab("Image Generator"):
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with gr.Row():
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with gr.Column(scale=10):
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@@ -48,13 +25,13 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
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with gr.Accordion("Advanced options", open=False):
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neg_prompt = gr.Text(label="Negative Prompt", lines=1, max_lines=8, placeholder="")
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with gr.Row():
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width = gr.Slider(label="Width", maximum=2048, step=32, value=0)
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height = gr.Slider(label="Height", maximum=2048, step=32, value=0)
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steps = gr.Slider(label="
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with gr.Row():
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cfg = gr.Slider(label="Guidance scale", maximum=30.0, step=0.1, value=0)
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seed = gr.Slider(label="Seed", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
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seed_rand = gr.Button("
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recom_prompt_preset = gr.Radio(label="Set Presets", choices=get_recom_prompt_type(), value="Common")
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with gr.Row():
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positive_prefix = gr.CheckboxGroup(label="Use Positive Prefix", choices=get_positive_prefix(), value=[])
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run_button = gr.Button("Generate Image", variant="primary", scale=8)
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random_button = gr.Button("Random Model 🎲", variant="secondary", scale=3)
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stop_button = gr.Button('Stop', interactive=False, variant="stop", scale=1)
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with gr.Group():
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model_name = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True)
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model_info = gr.Markdown(value=get_model_info_md(list(loaded_models.keys())[0]), elem_classes="model_info")
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with gr.Column(scale=10):
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with gr.Group():
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with gr.Row():
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@@ -158,9 +135,9 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
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demo.queue(default_concurrency_limit=240, max_size=240)
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demo.launch(max_threads=400, ssr_mode=True)
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# https://github.com/gradio-app/gradio/issues/6339
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demo.queue(concurrency_count=50)
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demo.launch()
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import gradio as gr
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from model import models
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from multit2i import (load_models, infer_fn, infer_rand_fn, save_gallery,
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change_model, warm_model, get_model_info_md, loaded_models,
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get_positive_prefix, get_positive_suffix, get_negative_prefix, get_negative_suffix,
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get_recom_prompt_type, set_recom_prompt_preset, get_tag_type, randomize_seed, translate_to_en)
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max_images = 8
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MAX_SEED = 2**32-1
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load_models(models)
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css = """
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.model_info { text-align: center; }
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.output { width=112px; height=112px; max_width=112px; max_height=112px; !important; }
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.gallery { min_width=512px; min_height=512px; max_height=1024px; !important; }
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"""
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with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
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with gr.Tab("Image Generator"):
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with gr.Row():
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with gr.Column(scale=10):
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with gr.Accordion("Advanced options", open=False):
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neg_prompt = gr.Text(label="Negative Prompt", lines=1, max_lines=8, placeholder="")
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with gr.Row():
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width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=2048, step=32, value=0)
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height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=2048, step=32, value=0)
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steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
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with gr.Row():
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cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
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seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
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seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
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recom_prompt_preset = gr.Radio(label="Set Presets", choices=get_recom_prompt_type(), value="Common")
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with gr.Row():
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positive_prefix = gr.CheckboxGroup(label="Use Positive Prefix", choices=get_positive_prefix(), value=[])
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run_button = gr.Button("Generate Image", variant="primary", scale=8)
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random_button = gr.Button("Random Model 🎲", variant="secondary", scale=3)
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stop_button = gr.Button('Stop', interactive=False, variant="stop", scale=1)
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with gr.Group():
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model_name = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True)
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model_info = gr.Markdown(value=get_model_info_md(list(loaded_models.keys())[0]), elem_classes="model_info")
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with gr.Column(scale=10):
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with gr.Group():
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with gr.Row():
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#demo.queue(default_concurrency_limit=240, max_size=240)
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#demo.launch(max_threads=400, ssr_mode=True)
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# https://github.com/gradio-app/gradio/issues/6339
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#demo.queue(concurrency_count=50)
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demo.launch()
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