RadixArk adds LoRA SFT to Miles-diffusion for targeted post-training

RadixArk introduced LoRA SFT in Miles-diffusion for fast, targeted post-training of diffusion models. The company trained a rank-64 LoRA adapter for MiniMax H3 to improve physical realism, using 254 curated training windows and under 3 hours on 8 GPUs. The adapter can be exported to safetensors and served directly with SGLang without retraining the full model.