Training methods for fast single-step or few-step generation from diffusion models.
| Category | README | Method | Class | Description | Reference |
|---|---|---|---|---|---|
| Consistency | README | CM | CMModel |
Consistency model (tuning/distillation) | Song et al., 2023, Geng et al., 2024 |
| sCM | SCMModel |
Continuous-time CM with TrigFlow | Lu & Song, 2024 | ||
| TCM | TCMModel |
Two-stage CM with boundary loss | Lee et al., 2024 | ||
| MeanFlow | MeanFlowModel |
Mean velocity prediction | Geng et al., 2025, Sabour et al., 2025 | ||
| Distribution Matching | README | DMD2 | DMD2Model |
VSD + GAN distillation | Yin et al., 2024 |
| f-distill | FdistillModel |
f-divergence weighted DMD2 | Xu et al., 2025 | ||
| LADD | LADDModel |
Pure adversarial distillation | Sauer et al., 2024 | ||
| CausVid | CausVidModel |
Causal DMD2 with diffusion forcing | Yin et al., 2024 | ||
| Self-Forcing | SelfForcingModel |
Causal DMD2 with self-forcing | Huang et al., 2025 | ||
| Fine-Tuning | README | SFT | SFTModel |
Finetuning with denoising score matching | Ho et al., 2020, Song et al., 2020, Lipman et al., 2022, Albergo et al., 2023 |
| CausalSFT | CausalSFTModel |
Causal version of SFT | Chen et al., 2024 | ||
| Knowledge Distillation | README | KD | KDModel |
Learn from pre-computed trajectories | Luhman & Luhman, 2021 |
| CausalKD | CausalKDModel |
Causal version of KD | Yin et al., 2024 |