SoL-Refiner
Collection
Speed-of-Light Refinement for High-Resolution Video https://nvlabs.github.io/Sana/Sol-Refiner/ β’ 5 items β’ Updated β’ 9
The standalone refiner LoRA of Open-H3-Regenerate-2K, trained on the MiniMax-H3 transformer. It regenerates a low-resolution video draft at 2560Γ1440 in three refinement steps.
Project page Β· Code Β· Full release
| File | Content |
|---|---|
open_h3_regenerate_2k_refiner_lora.safetensors |
Refiner LoRA, rank 384 on 312 linears of the MiniMax-H3 transformer (Diffusers layout), FP32 |
The inference strength is already folded into the weights: apply the LoRA at scale 1.0.
Keys follow transformer.<module>.lora_A.weight / lora_B.weight.
The full Open-H3-Regenerate-2K recipe also uses the LightX2V Turbo and LMS Sharp LoRAs and a latent upscaler. The full release provides all of them together with the inference code.
The refiner LoRA follows the MiniMax H3 Community License, including its territory, use and redistribution terms.
Base model
MiniMaxAI/MiniMax-H3