针对显存有限的消费级GPU（如RTX 3090/4090），可采用三级优化策略：
基础优化：
- compulsory use
flux-dev-fp8模型，显存需求从24GB降至16GB - 设置生成分辨率为512×512或更低
- 减少扩散步数
--num_steps至25-30步
高级优化：
- start using
--offload参数将部分计算卸载到CPU - utilization
--enable_xformers激活内存高效注意力机制 - set up
torch.backends.cuda.enable_flash_sdp(True)启用FlashAttention
系统级优化：
- 清理GPU缓存：
torch.cuda.empty_cache() - utilization梯度检查点技术（训练时）
- start usingMixed precision training（FP16/FP8）
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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