English(EN) [Model Release] Qwen-Image-2.1 Uncensored Omni — trained on ~1M images, 9 local formats

Qwen-Image-2.1 Uncensored Omni 模型发布，训练数据约100万张图像

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 20:29

一款新的无限制图像生成模型 Qwen-Image-2.1 Uncensored Omni 已发布。该模型在约一百万张图像上进行了训练，支持文本到图像生成和自然语言图像编辑。它提供 BF16 和各种量化等九种不同格式，旨在实现灵活的姿势和复杂的构图。 AI

影响为无限制的文本到图像生成和具有灵活构图能力的图像编辑提供了新的选择。

排序理由发布一款新的图像生成模型，包含训练数据和格式的详细信息。[lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 发布一款新的图像生成模型，包含训练数据和格式的详细信息。[lever_c_demoted from research: 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; 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。

r/StableDiffusion TIER_2 English(EN) · /u/metalfans · 2026-11-05 20:29

[Model Release] Qwen-Image-2.1 Uncensored Omni — trained on ~1M images, 9 local formats

<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xotduk/model_release_qwenimage21_uncensored_omni_trained/"> <img alt="[Model Release] Qwen-Image-2.1 Uncensored Omni — trained on ~1M images, 9 local formats" src="https://preview.redd.it/lz0vyno2tuzh1.p…