MODEL PROFILE · 模型档案

MiniMax-H3-X2-Detail-VAE

speach1sdef178 · MiniMax-H3-X2-Detail-VAE

> **Status:** Working model + tested custom node + workflow + research report\ > **Starting point:** my own already-working MiniMax H3 2X VAE\ > **Scope:** this report intentionally begins with that completed 2X VAE. I created the base 2X VAE used for this project as well, but how that VAE was built is a separate story and is not covered here. This repository is the final practical outcome of the experiment. It contains a **2-in-1 MiniMax H3 X2 VAE**, an optional ComfyUI detail-enhancement node, an example workflow, and the full research article below. Load `MiniMax-H3-X2-Detail-v1.safetensors` with the normal ComfyUI **Load VAE** node and use it as the video VAE for MiniMax H3. For the actual video decode, replace the base ComfyUI VAE Decode node with **`MiniMax H3 VAE Decode (fast)`** from TripleHeadedMonkey/ComfyUI-MiniMaxH3_LatentUpscaler. This node is required for the released 2X workflow.

译文排队中,当前展示来源原文。

视频生成license:other
上下文窗口来源未披露
输入 → 输出图像 → 视频
模型权重待核验
档案更新时间2026/10/30 19:24:41
OVERVIEW

模型介绍

> **Status:** Working model + tested custom node + workflow + research report\ > **Starting point:** my own already-working MiniMax H3 2X VAE\ > **Scope:** this report intentionally begins with that completed 2X VAE. I created the base 2X VAE used for this project as well, but how that VAE was built is a separate story and is not covered here. This repository is the final practical outcome of the experiment. It contains a **2-in-1 MiniMax H3 X2 VAE**, an optional ComfyUI detail-enhancement node, an example workflow, and the full research article below. Load `MiniMax-H3-X2-Detail-v1.safetensors` with the normal ComfyUI **Load VAE** node and use it as the video VAE for MiniMax H3. For the actual video decode, replace the base ComfyUI VAE Decode node with **`MiniMax H3 VAE Decode (fast)`** from TripleHeadedMonkey/ComfyUI-MiniMaxH3_LatentUpscaler. This node is required for the released 2X workflow.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

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预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

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。