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English(EN) I really like the Gaussian Splash LoRA for 2511 and really wanted it on Qwen-Image 2.1. So I trained one for it!

用户为 Qwen-Image 2.1 训练了 Gaussian Splash LoRA

作者 PulseAugur 编辑部 · [1 个来源] ·

一位用户为 Qwen-Image 2.1 训练了一个新的 LoRA（低秩自适应）模型，灵感来自于一个类似的 2511 模型 LoRA。这个名为“splat-repair-lora”的新 LoRA 在 GitHub 上可用，旨在通过提示词进行使用，以更好地控制图像生成。用户指出，虽然它比原始的 2511 LoRA 提供了更大的灵活性，但可能不如即插即用。 AI

影响 通过新的 LoRA，为 Qwen-Image 2.1 用户提供了增强的控制和定制能力。

排序理由 为现有图像生成模型发布用户训练的 LoRA 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 →

用户为 Qwen-Image 2.1 训练了 Gaussian Splash LoRA

本文如何被排名

Signal score
8 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
为现有图像生成模型发布用户训练的 LoRA 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
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. r/StableDiffusion TIER_2 English(EN) · /u/Spy4killer ·

    I really like the Gaussian Splash LoRA for 2511 and really wanted it on Qwen-Image 2.1. So I trained one for it!

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xg0ann/i_really_like_the_gaussian_splash_lora_for_2511/"> <img alt="I really like the Gaussian Splash LoRA for 2511 and really wanted it on Qwen-Image 2.1. So I trained one for it!" src="https://external…

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