处理PyTorch依赖问题的系统化方案：
诊断阶段：
- (of a computer) run
python -c "import torch; print(torch.__version__)"确认当前版本 - probe
requirements.txt中指定的版本范围
Solution:
- 新建隔离环境：
conda create -n uno_clean python=3.10 - GPU相关安装：
NVIDIA用户：pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
AMD用户：需从ROCm仓库安装对应版本 - Verify the installation:
python -c "import torch; print(torch.cuda.is_available())"应返回True
Emergency Response Program:若仍失败，可尝试通过Docker使用官方预配置环境：docker pull xlabsresearch/uno:latest
This answer comes from the articleUNO: Support for single-subject and multi-subject customized image generation tools (suitable for e-commerce graphics)The
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