一位 Reddit 用户正在寻求使用 Stable Diffusion 从线描草图生成照片级真实感参考图的建议。他们已经尝试了 ControlNet（使用 Canny 和潜在图像作为参考）等控制方法，但发现结果不令人满意。该用户正在寻找尝试过此过程的其他人提供的技巧和成功的工作流。 AI
排序理由 论坛上的用户生成内容，询问有关已知 AI 模型特定应用的帮助。
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Stable Diffusion 用户寻求草图到照片级真实感图像生成的工作流
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
- 论坛上的用户生成内容，询问有关已知 AI 模型特定应用的帮助。
- 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
- 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]
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草图到参考图工作流程的技巧？
<!-- SC_OFF --><div class="md"><p>Hi!</p> <p>I want to use SD to create a photorealistic reference from a line sketch, so I can then finish the illustration based on it.</p> <p>Has anyone tried using SD in this way, and what were the results? I tried using netcontrol with canny a…