Preprint
Aug 2026
Exploring the Performance Frontier of Compact Unified Image Generation Models
Swift-Image achieves leading aggregate performance among evaluated open-source models with only 6B parameters and 243K GPU training hours; the compressed 3B model incurs nearly no loss, while few-step distillation further improves aggregate editing performance with substantially fewer sampling steps.
Taihang Hu, Zhaowen Wang, Zuan Gao et al.
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