Check out our new work: MIRO
No more post-training alignment!
We integrate human alignment right from the start, during pretraining!
Results:
✨ 19x faster convergence ⚡
✨ 370x less compute 💻
🔗 Explore the project: nicolas-dufour.github.io/miro/
Train once, align many rewards. MIRO achieves 19× faster convergence and 370× less compute than FLUX while reaching GenEval score of 75. Controllable trade-offs at inference time.
We introduce MIRO: a new paradigm for T2I model alignment integrating reward conditioning into pretraining, eliminating the need for separate fine-tuning/RL stages. This single-stage approach offers unprecedented efficiency and control.
- 19x faster convergence ⚡
- 370x less FLOPS than FLUX-dev 📉
