Update app.py
Browse files
app.py
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import os
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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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max_images = 8
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MAX_SEED = 2**32-1
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.gallery { min_width=512px; min_height=512px; max_height=1024px; !important; }
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"""
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def set_token(token):
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os.environ["HF_TOKEN"] = token # Сохранение токена в переменной окружения
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return f"✅ Токен сохранен!"
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# Основной интерфейс Gradio
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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("Token Input"): # Новая вкладка для ввода токена
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gr.Markdown("# 🔑 Введите ваш HF_TOKEN")
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with gr.Row():
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token_input = gr.Textbox(label="HF_TOKEN", type="password", placeholder="Введите ваш токен...")
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save_button = gr.Button("Сохранить")
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output_text = gr.Textbox(label="Статус", interactive=False)
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save_button.click(set_token, inputs=[token_input], outputs=[output_text])
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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.Group():
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with gr.Row():
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output = [gr.Image(label='', elem_classes="output", type="filepath", format="png",
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with gr.Group():
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results = gr.Gallery(label="Gallery", elem_classes="gallery", interactive=False, show_download_button=True, show_share_button=False,
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image_files = gr.Files(label="Download", interactive=False)
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clear_results = gr.Button("Clear Gallery / Download 🗑️", variant="secondary")
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with gr.Column():
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@@ -120,35 +106,37 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
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gr.on(triggers=[run_button.click, prompt.submit, random_button.click], fn=lambda: gr.update(interactive=True), inputs=None, outputs=stop_button, show_api=False)
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model_name.change(change_model, [model_name], [model_info], queue=True, show_api=True)\
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for i, o in enumerate(output):
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img_i = gr.Number(i, visible=False)
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image_num.change(lambda i, n: gr.update(visible=(i < n)), [img_i, image_num], o, show_api=True)
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gen_event = gr.on(triggers=[run_button.click, prompt.submit],
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gen_event2 = gr.on(triggers=[random_button.click],
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o.change(save_gallery, [o, results], [results, image_files], show_api=False)
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stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event, gen_event2], show_api=False)
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clear_prompt.click(lambda: (None, None), None, [prompt, neg_prompt], queue=True, show_api=True)
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clear_results.click(lambda: (None, None), None, [results, image_files], queue=True, show_api=True)
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recom_prompt_preset.change(set_recom_prompt_preset, [recom_prompt_preset],
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seed_rand.click(randomize_seed, None, [seed], queue=True, show_api=True)
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trans_prompt.click(translate_to_en, [prompt], [prompt], queue=True, show_api=True)\
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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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.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.Group():
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with gr.Row():
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output = [gr.Image(label='', elem_classes="output", type="filepath", format="png",
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show_download_button=True, show_share_button=False, show_label=False,
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interactive=False, min_width=80, visible=True, width=112, height=112) for _ in range(max_images)]
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with gr.Group():
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results = gr.Gallery(label="Gallery", elem_classes="gallery", interactive=False, show_download_button=True, show_share_button=False,
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container=True, format="png", object_fit="cover", columns=2, rows=2)
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image_files = gr.Files(label="Download", interactive=False)
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clear_results = gr.Button("Clear Gallery / Download 🗑️", variant="secondary")
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with gr.Column():
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gr.on(triggers=[run_button.click, prompt.submit, random_button.click], fn=lambda: gr.update(interactive=True), inputs=None, outputs=stop_button, show_api=False)
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model_name.change(change_model, [model_name], [model_info], queue=True, show_api=True)\
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.success(warm_model, [model_name], None, queue=True, show_api=True)
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for i, o in enumerate(output):
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img_i = gr.Number(i, visible=False)
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image_num.change(lambda i, n: gr.update(visible = (i < n)), [img_i, image_num], o, show_api=True)
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gen_event = gr.on(triggers=[run_button.click, prompt.submit],
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fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None,
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inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
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positive_prefix, positive_suffix, negative_prefix, negative_suffix],
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outputs=[o], queue=True, show_api=False) # Be sure to delete ", queue=False" when activating the stop button
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gen_event2 = gr.on(triggers=[random_button.click],
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fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_rand_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None,
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inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
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positive_prefix, positive_suffix, negative_prefix, negative_suffix],
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outputs=[o], queue=True, show_api=False) # Be sure to delete ", queue=False" when activating the stop button
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o.change(save_gallery, [o, results], [results, image_files], show_api=False)
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stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event, gen_event2], show_api=False)
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clear_prompt.click(lambda: (None, None), None, [prompt, neg_prompt], queue=True, show_api=True)
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clear_results.click(lambda: (None, None), None, [results, image_files], queue=True, show_api=True)
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recom_prompt_preset.change(set_recom_prompt_preset, [recom_prompt_preset],
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[positive_prefix, positive_suffix, negative_prefix, negative_suffix], queue=True, show_api=True)
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seed_rand.click(randomize_seed, None, [seed], queue=True, show_api=True)
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trans_prompt.click(translate_to_en, [prompt], [prompt], queue=True, show_api=True)\
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.then(translate_to_en, [neg_prompt], [neg_prompt], queue=True, show_api=True)
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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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