部署DiffPortrait360需要分步骤完成环境准备：
Hardware preparation
- 必须使用NVIDIA GPU（支持CUDA）
- 最低配置：30GB显存（生成32帧）
- 推荐配置：80GB显存（如A6000显卡）
software installation
- 确认CUDA版本（推荐12.2）：通过
nvcc --versionprobe - 创建Python 3.9的Conda环境：
conda create -n diffportrait360 python=3.9conda activate diffportrait360
- Clone the code repository:
git clone https://github.com/FreedomGu/DiffPortrait360.git - Install dependencies:
- go into
diffportrait360_releasecatalogs - fulfillment
pip install -r requirements.txt
- go into
Model deployment
从Hugging Face下载三个预训练模型（PANO_HEAD_MODEL/Head_Back_MODEL/Diff360_MODEL）并修改inference.sh中的路径参数。最后通过torch.cuda.is_available()验证GPU可用性。
This answer comes from the articleDiffPortrait360: Generate 360-degree head views from a single portraitThe
May not be reproduced without permission:AI productivity tools " 如何安装和配置DiffPortrait360的运行环境？
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