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Update app.py
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app.py
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@@ -7,7 +7,6 @@ import numpy as np
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import os
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# 1. Настройка модели
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# Указываем путь к твоему репозиторию
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model_id = "Abobasnik/HiperAi-ImageGenerator"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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@@ -15,27 +14,27 @@ dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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print(f"⏳ Загрузка модели {model_id} на {device}...")
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# Загружаем
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pipe = AutoPipelineForText2Image.from_pretrained(
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model_id,
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torch_dtype=dtype,
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variant="fp16" if torch.cuda.is_available() else None
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).to(device)
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# Загружаем фильтр цензуры
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safety_checker = StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker").to(device)
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feature_extractor = CLIPImageProcessor.from_pretrained("openai/clip-vit-base-patch32")
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def generate_safe(prompt):
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if not prompt:
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return None, "Введите запрос"
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# Генерация
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image = pipe(
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prompt=prompt,
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negative_prompt="nude, nsfw, naked, breasts, gore, violence",
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num_inference_steps=
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guidance_scale=
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).images[0]
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# Проверка на цензуру
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@@ -44,7 +43,6 @@ def generate_safe(prompt):
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_, has_nsfw_concept = safety_checker(images=clip_input.pixel_values, clip_input=clip_input.pixel_values)
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if has_nsfw_concept[0]:
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# Если цензура сработала — возвращаем черный квадрат
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black_img = np.zeros((512, 512, 3), dtype=np.uint8)
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return black_img, "🚨 КОНТЕНТ ЗАБЛОКИРОВАН"
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@@ -53,7 +51,7 @@ def generate_safe(prompt):
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# 2. Интерфейс Gradio
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with gr.Blocks(theme=gr.themes.Soft(), css="footer {display: none !important}") as demo:
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gr.HTML("<h1 style='text-align: center;'>🛡️ HiperAi-ImageGenerator v1</h1>")
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gr.HTML("<p style='text-align: center;'>
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with gr.Row():
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with gr.Column():
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@@ -62,12 +60,21 @@ with gr.Blocks(theme=gr.themes.Soft(), css="footer {display: none !important}")
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placeholder="Например: Cute cat in space...",
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lines=3
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)
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gen_btn = gr.Button("ГЕНЕРИРОВАТЬ", variant="primary")
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with gr.Column():
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output_img = gr.Image(label="Результат")
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status_text = gr.Textbox(label="Статус", interactive=False)
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demo.launch()
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import os
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# 1. Настройка модели
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model_id = "Abobasnik/HiperAi-ImageGenerator"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print(f"⏳ Загрузка модели {model_id} на {device}...")
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# Загружаем модель
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pipe = AutoPipelineForText2Image.from_pretrained(
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model_id,
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torch_dtype=dtype,
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variant="fp16" if torch.cuda.is_available() else None
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).to(device)
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# Загружаем фильтр цензуры
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safety_checker = StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker").to(device)
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feature_extractor = CLIPImageProcessor.from_pretrained("openai/clip-vit-base-patch32")
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def generate_safe(prompt, steps, guidance):
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if not prompt:
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return None, "Введите запрос"
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# Генерация с использованием слайдеров
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image = pipe(
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prompt=prompt,
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negative_prompt="nude, nsfw, naked, breasts, gore, violence",
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num_inference_steps=int(steps),
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guidance_scale=float(guidance)
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).images[0]
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# Проверка на цензуру
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_, has_nsfw_concept = safety_checker(images=clip_input.pixel_values, clip_input=clip_input.pixel_values)
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if has_nsfw_concept[0]:
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black_img = np.zeros((512, 512, 3), dtype=np.uint8)
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return black_img, "🚨 КОНТЕНТ ЗАБЛОКИРОВАН"
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# 2. Интерфейс Gradio
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with gr.Blocks(theme=gr.themes.Soft(), css="footer {display: none !important}") as demo:
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gr.HTML("<h1 style='text-align: center;'>🛡️ HiperAi-ImageGenerator v1</h1>")
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gr.HTML("<p style='text-align: center;'>Создатель: <b>Graznaa_Lava</b> | Модель: <b>HiperAi-ImageGenerator</b></p>")
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with gr.Row():
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with gr.Column():
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placeholder="Например: Cute cat in space...",
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lines=3
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)
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# Добавленные настройки
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steps_slider = gr.Slider(1, 12, value=8, step=1, label="Повторы (Steps)")
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guidance_slider = gr.Slider(0.0, 5.0, value=1.5, step=0.1, label="Строгость (Guidance)")
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gen_btn = gr.Button("ГЕНЕРИРОВАТЬ", variant="primary")
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with gr.Column():
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output_img = gr.Image(label="Результат")
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status_text = gr.Textbox(label="Статус", interactive=False)
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# Обновленные входы (inputs) для генерации
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gen_btn.click(
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fn=generate_safe,
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inputs=[input_text, steps_slider, guidance_slider],
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outputs=[output_img, status_text]
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)
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demo.launch()
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