[LoRA Training] Auto-caption generator recommendation?
I'm trying to train a character image LoRA with multiple image references. And I believe captions for each image are needed right? If I have, let's say 30 or more images, it'll be tiring to put caption for each.
- ▪I'm trying to train a character image LoRA with multiple image references.
- ▪And I believe captions for each image are needed right?
- ▪If I have, let's say 30 or more images, it'll be tiring to put caption for each.
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Record
| Original publisher | |
| Canonical URL | https://www.reddit.com/r/StableDiffusion/comments/1tgd3zo/lora_training_autocaption_generator_recommendation/ |
| Publication time | 2026-05-18T05:31:56+00:00 |
| Retrieval time | 2026-05-18T05:34:56.099Z |
| Last seen | 2026-05-18T05:34:58.507Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | LnbU4NzFIz5- |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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