English(EN) MOSS - 1024x1024, 34 Steps (MOSS 5b) + 1 Step (Flux 2 9b), 8 CFG, 20 Secs - First Model That Can Render 100+ Rats Perfectly at 1024x1024 Without Hi-Res or Inpaint.

MOSS 5b AI 模型实现多主体高分辨率完美渲染

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-22 22:19

一款名为 MOSS 的新 AI 模型，特别是 MOSS 5b，已发布，它能够在 1024x1024 分辨率下完美渲染超过 100 只老鼠，而无需进行高分辨率放大或局部重绘。该模型与 Flux 2 9b 结合进行一步处理，大约在 20 秒内即可完成此壮举。该开发成果在 Reddit 的 r/StableDiffusion 社区分享，突显了其效率和改进的渲染能力。 AI

影响该模型高效渲染具有多个主体的高分辨率复杂场景的能力，可能会影响未来生成图像模型的发展。

排序理由发布了具有改进功能、并在社区平台上分享的特定 AI 模型。

在 r/StableDiffusion 阅读 →

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

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Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 发布了具有改进功能、并在社区平台上分享的特定 AI 模型。
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: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

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报道来源 [1]

r/StableDiffusion TIER_2 English(EN) · /u/-Ellary- · 2026-10-22 22:19

MOSS - 1024x1024, 34 Steps (MOSS 5b) + 1 Step (Flux 2 9b), 8 CFG, 20 Secs - First Model That Can Render 100+ Rats Perfectly at 1024x1024 Without Hi-Res or Inpaint.

<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xcwlz7/moss_1024x1024_34_steps_moss_5b_1_step_flux_2_9b/"> <img alt="MOSS - 1024x1024, 34 Steps (MOSS 5b) + 1 Step (Flux 2 9b), 8 CFG, 20 Secs - First Model That Can Render 100+ Rats Perfectly at 1024x10…

本文如何被排名

报道来源 [1]

MOSS - 1024x1024, 34 Steps (MOSS 5b) + 1 Step (Flux 2 9b), 8 CFG, 20 Secs - First Model That Can Render 100+ Rats Perfectly at 1024x1024 Without Hi-Res or Inpaint.

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