Inclusion AI's IDM matches generator EMA features to speed up one-step and two-step text-to-image generation

Inclusion AI and academic collaborators released IDM, a distillation method that combines internal distribution matching with moment matching in the generator's own EMA feature space, removing the need for an external feature encoder. At 2 NFE, IDM (Z-Image) scores 94.25% on LongText-CN and 90.20% on LongText-EN, and full-parameter IDM (Z-Image) runs in 0.25 s at 1 NFE and 0.30 s at 2 NFE on a single A100 in BF16. The same trained checkpoint supports both 1-NFE and 2-NFE sampling, and the code is released under Apache 2.0, while the checkpoints are listed as coming soon.