一位 Reddit 用户正在寻求有关如何提示其本地 LLM（特别是 Qwen 3.8）以生成 Krea 2 的有效提示的指导。目标是生成逼真且未经审查的内容，但用户遇到了 LLM 生成无用“乱码”的问题。 AI
排序理由 用户关于特定模型提示以用于小众应用的查询，而非新发布或重大行业事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
用户寻求 Qwen 3.8 提示指南以实现 Krea 2 真实感
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 用户关于特定模型提示以用于小众应用的查询，而非新发布或重大行业事件。
- 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, other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- 2 days old
- Coverage has settled into its steady-state source set.
完整方法见我们的编辑标准。
报道来源 [1]
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需要 Krea 2 系统提示或类似提示指南注入本地 LLM Qwen 3.8 已被彻底删除。
<!-- SC_OFF --><div class="md"><p>Hey guys i have scoured the internet and cant find any system prompt/prompt guidelines to condition my local llms so that they make proper krea2 prompts without useless word salad. I focus mainly on realism and "uncensored content"</p> …