一位Reddit用户正在询问LTX2.3的图像修复能力，特别是将其与VACE进行比较。他们想了解LTX2.3是否能像VACE一样在视频中进行精确的对象替换，并发现当前的工作流程效果不佳。 AI
排序理由 用户在Reddit上询问特定模型的能力。
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用户质疑LTX2.3的图像修复能力与VACE相比
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
- 用户在Reddit上询问特定模型的能力。
- 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
- 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
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- 72 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]
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LTX2.3 能像VACE一样进行图像修复吗？
<!-- SC_OFF --><div class="md"><p>With VACE, I can precisely say "I want this masked object in this video replaced with this reference", can I do the same with LTX? I've searched around and most of these workflows feel like a hack rather than proper implementation and d…