English(EN) Has anyone managed to solve / workaround H3's mutli-speaker issue?

H3模型面临持续的多说话人连贯性问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-13 21:27

Reddit上的用户正在讨论H3模型在多说话人连贯性方面存在持续性问题，尤其是在不使用音频参考时。尽管尝试了各种格式和故障排除方法，但问题仍未解决，影响了模型保持说话人身份一致性的能力。与其它模型在速度和步数减少方面的进展相比，这个问题被视为一个显著的缺点。 AI

影响 H3模型在说话人连贯性方面存在的持续性问题可能会限制其在需要一致性多说话人音频生成应用的采用。

排序理由用户讨论AI模型的特定技术问题。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 4 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户讨论AI模型的特定技术问题。
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; 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。

r/StableDiffusion TIER_2 English(EN) · /u/-AwhWah- · 2026-09-13 21:27

有人解决/规避H3的多说话人问题了吗？

<div class="md"><p>Still having trouble with mutli-speaker, even without using audio references. Has anyone had any luck, even with making it <em>slightly</em> more consistent? I've done all different kinds of formatting and seen and tried all the suggestions but n…