---
format: "aidr-story-markdown/v1"
id: "c11246d851567043f52af79c3dcbac3b3c1152d4def6c547b0c88e53d863130d"
canonical_url: "https://aidr.today/c11246d8?lang=en"
title: "SolarRenderer: Few-Step Generative Reference Rendering"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-21T00:00:00.000Z"
category: "Research"
topics: ["inference"]
source_urls: ["https://huggingface.co/papers/2610.28630"]
summary: "SolarRenderer, a structure-conditioned video renderer that adapts a frozen MiniMax-H3 33B backbone with two lightweight LoRAs, renders in four steps, 12.3 times faster than 50-step sampling, while preserving learned control."
---

# SolarRenderer: Few\-Step Generative Reference Rendering

> [Open the canonical story](<https://aidr.today/c11246d8?lang=en>)

**Published:** 2026-10-21T00:00:00.000Z
**Category:** Research
**Topics:** inference

## Summary

SolarRenderer, a structure\-conditioned video renderer that adapts a frozen MiniMax\-H3 33B backbone with two lightweight LoRAs, renders in four steps, 12\.3 times faster than 50\-step sampling, while preserving learned control\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.28630>)