Unverified50% confidenceFactExact time
Flux 基于扩散 Transformer（DiT）架构，与 SD 系列使用的 U-Net 架构不同，完整版需要约 24GB 显存，量化版可压至 8GB 左右
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
UnverifiedTo run Stable Diffusion XL base version, an NVIDIA RTX 3060 (12GB VRAM) can perform inference smoothly; the full version of Flux.1-dev (FP16 precision) requires approximately 24GB of VRAM.73% similarUnverifiedThe model weights of Flux 2's 9B parameter model occupy approximately 18GB of VRAM at FP16 precision, typically requiring more than 24GB of GPU VRAM.68% similarUnverifiedLTX系列通过模型蒸馏、注意力机制优化、潜空间压缩等技术，使模型能够在8GB-16GB显存的消费级GPU（如NVIDIA RTX 3060/4060）上运行66% similarVerifiedThis workflow can run on an RTX 3060 with 6GB of VRAM and 16GB of system memory.66% similarUnverifiedThe full version of Trellis 2 typically requires approximately 24 GB of VRAM, while the optimized version can run on 6 GB of VRAM.66% similar
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