Reddit r/StableDiffusion 社区的一位用户正在询问 Ideogram 4 在训练包含多个角色的 LoRA（低秩适应）方面的有效性。他回忆起看到一篇关于一个在卡通片中八个角色上训练的 LoRA 的帖子，但无法找到它，这表明 Ideogram 的边界框格式可能有利于这种多角色训练。 AI
排序理由 这是关于 AI 图像生成工具特定功能的用户生成社区论坛问题，并非正式公告或重大发展。
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Reddit 讨论 Ideogram 4 在多角色 LoRA 训练方面的潜力
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- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 这是关于 AI 图像生成工具特定功能的用户生成社区论坛问题，并非正式公告或重大发展。
- 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
- 48 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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使用 Ideogram 4 训练一个 LoRA 模型生成多个角色是否已有良好结果？
<!-- SC_OFF --><div class="md"><p>I thought I remembered seeing a post where someone trained 8 chars in one lora from a cartoon, but I can't seem to find the post anywhere. The bounding box format seems like it would lend to more luck with training multi char loras. </p> </div><!…