English(EN) I can't believe this took me only 2 tries

StableDiffusion 用户两次尝试即获得理想构图

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 11:44

一位 Reddit 用户分享了他们使用 StableDiffusion 的成功经验，仅用两次尝试就获得了理想的构图。他们详细介绍了 ComfyUI 中的默认 Moss 布局工作流，并强调了在子图中清除提示的重要性。该用户还推荐了特定设置，偏爱 Euler 50 CFG 3 以获得最佳效果，而非 Turbo 等其他方法，并建议较小的模型提供更好的原始性能。 AI

影响展示了图像生成工具中高效的迭代和构图控制。

排序理由关于使用现有 AI 工具的用户生成内容。

在 r/StableDiffusion 阅读 →

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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: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 关于使用现有 AI 工具的用户生成内容。
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: 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.

完整方法见我们的编辑标准。

报道来源 [1]

r/StableDiffusion TIER_2 English(EN) · /u/Quiet_Quit_8894 · 2026-10-24 11:44

I can't believe this took me only 2 tries

<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xe6iiu/i_cant_believe_this_took_me_only_2_tries/"> <img alt="I can't believe this took me only 2 tries" src="https://preview.redd.it/0ogubt4niexh1.png?width=140&height=140&crop=1:1,smart&auto…

本文如何被排名

报道来源 [1]

I can't believe this took me only 2 tries

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