Model overview
A practical family of low-step MiniMax H3 LoRAs for both video and still-image generation, focused on image quality, motion, acting, prompt stability, audio, and real-world usability. > **Important:** Neat Classic and Neat Prime use different workflows and sampling setups. > Do not mix their sampler nodes or recommended settings. 它最大的实用价值之一，是可以让 **H3 自己为 H3 制作参考图**：先在相同模型审美空间中完成角色、服装、灯光、场景与镜头设计，再将参考图直接回喂给 H3 做视频。相比使用外部生图模型，这种同源参考图与 H3 的色彩、人物塑形和材质逻辑天然一致，能够显著减少风格不匹配和参考图“进视频后变味”的问题。
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。