BEN2本地部署全流程指南
environmental preparation：需Python 3.8+环境，建议配备NVIDIA显卡（支持CUDA加速）
- Getting the model::
git clone https://huggingface.co/PramaLLC/BEN2 cd BEN2
- Installation of dependencies: Implementation
pip install -r requirements.txt（包含PyTorch等核心库） - Initialization Model::
from model import BEN_Base device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') model = BEN_Base().to(device).eval() - executive reasoning::
mask, foreground = model.inference(Image.open('test.jpg')) mask.save('result_mask.png')
caveat：首次运行会自动下载1.13GB模型文件；4K处理建议至少有8GB显存；CPU模式处理时间约为GPU的3-5倍。
This answer comes from the articleBEN2: Deep learning model for fast background removal from images, videosThe
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