一位 Reddit 用户正在寻求关于图像生成中最佳本地模型和工作流程的建议，特别是用于替换自定义演员的环境。他们正在询问当前领先的方法，例如 VACE 或 LTX 与 IC LoRAs，并正在寻找任何指导或已建立的工作流程。 AI
排序理由 Reddit 上的用户生成内容，询问有关现有工具的建议，而非新发布或重大的行业事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Stable Diffusion 用户寻求最佳本地模型用于背景替换
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
- Reddit 上的用户生成内容，询问有关现有工具的建议，而非新发布或重大的行业事件。
- 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
- 63 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
-
哪款背景替换模型和工作流程是最好的？
<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1v2a6j1/what_is_the_best_background_replacement_model_and/"> <img alt="What is the best Background Replacement model and workflow?" src="https://external-preview.redd.it/ZXFrMWJpaXR6aWVoMQMmV6aF6qwhzPi5g0…