Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models

Implement a 'Model Schedule' runner for diffusion models to accelerate token generation. This would enable faster inference by dynamically swapping the model size during the denoising process.

Suggested repo: FastDiffusion-Sched

"Faster inference by switching models mid-denoise."

Estimated effort: 35h