# MiniMax H3 开源路线图：坚持开源至 AGI

- 来源：MiniMax (official) (@MiniMax_AI)
- 发布时间：2026-08-09 08:47
- AIHOT 分数：39
- AIHOT 链接：https://aihot.virxact.com/items/cmsl40d7b04gnrol739g2q00s
- 原文链接：https://x.com/MiniMax_AI/status/2086253065657790895

## AI 摘要

MiniMax 在 Reddit AMA 中公布 H3 系列开源路线图，并承诺“在 AGI 到来前保持开源”。计划开源 H3-Regenerate-2K 潜在空间 DiT 再生模型、统一文生图与图像编辑模型，并考虑转向 Apache-2.0 许可证。H3 采用 MoBA 风格稀疏注意力，支持 4-NFE/8-NFE 低步长变体，Ref2VA 可续接生成 60 秒长视频。

## 正文

Thank you to everyone who joined our Reddit AMA! The community energy was incredible, and we loved diving deep into the architecture, workflows, and the future of MiniMax H3.🩵

For those who missed it, here is a full recap of what is shipping next and YES WE WILL KEEP OPEN UNTIL AGI ARRIVES.

🔥 The Open-Source Mission
As copyright matters settle, transitioning to an Apache-2.0 license is on the table. We also owe you the technical details - a comprehensive technical report on H3's development is in the works and will be published soon~

🎥 Video & H3-Regenerate-2K
We are planning to open-source H3-Regenerate-2K. To be clear, this is a dedicated latent-space DiT regeneration model - not just a base checkpoint rerun and not a pixel upscaler. We are currently tuning its efficiency and quality so you can run it locally.

⚡ Architecture, Speed & Sparse Attention
Sparse Attention: Our sparse attention is MoBA-style, train-aware block selection. Expect a relatively conservative reference implementation in the near term with the goal of zero perceptible quality loss. Let's build device-specific speedups together!

Low-Step Variants: The released checkpoint is already CFG-distilled. While we don't have a near-term commitment just yet, a 4-NFE / 8-NFE variant is under active consideration. In the meantime, huge shoutout to the community - the Turbo LoRAs you've built are genuinely fantastic.

🖼️ Unified Image Generation & Editing Single-frame
image generation was our one of most-asked topics (193 upvotes!). The answer is YES: we plan to open-source a unified text-to-image and general image-editing model derived directly from the H3 lineage. It is currently in post-training refinement.

⏱️ Pushing Limits: 60-Second Workflows
For longer videos, Ref2VA supports continuation (just feed the previous clip as the reference). And to the Redditor who chained together that 60-second workflow - great find! That capability is real and was retained from our pretraining phase~🫡

We can't wait to see what you build next. Let's keep pushing the boundaries of open AI together. 🚀

For details👇

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