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English(EN) MiniMax has open-weighted H3-Image, a 33.1 billion parameter diffusion transformer for text-to-image and editing, producing roughly 16 megapixel output at 4096

MiniMax发布H3-Image文本到图像模型,支持1600万像素输出

MiniMax发布了H3-Image,一个拥有331亿参数的开放权重扩散Transformer模型。该模型能够在10秒内根据文本提示生成高达1600万像素(4096x4096)的高分辨率图像。然而,该模型的许可排除了欧盟、英国、美国和韩国的用户。 AI

影响 此次发布提供了高分辨率的文本到图像生成能力,可能对创意工作流程和更广泛的生成式AI领域产生影响。

排序理由 MiniMax发布了具有系统卡的H3-Image模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

MiniMax发布H3-Image文本到图像模型,支持1600万像素输出

本文如何被排名

Signal score
20 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
MiniMax发布了具有系统卡的H3-Image模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    MiniMax 发布了 H3-Image,一个拥有 331 亿参数的开源扩散 Transformer 模型,可用于文本到图像生成和编辑,输出分辨率约为 1600 万像素(4096)

    MiniMax has open-weighted H3-Image, a 33.1 billion parameter diffusion transformer for text-to-image and editing, producing roughly 16 megapixel output at 4096 by 4096 in under 10 seconds. It is distilled to six sampling steps without classifier-free guidance and accepts up to 16…