Individual skill
lora-pipeline
Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.
lora-pipeline/SKILL.md
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- Last checked
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- Repository last updated
- Oct 26, 2026
- License
- MIT
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- agent-skills Repository topic
- anima Repository topic
- civitai Repository topic
- claude-code Repository topic
- comfyui Repository topic
- dataset-tools Repository topic
- kohya Repository topic
- lora Repository topic
- lora-training Repository topic
- skill-md Repository topic
- engineering Derived category
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SKILL.mdcore · 10,122 bytesagents/openai.yamlasset · 219 bytesscripts/build_dataset.pyruns · 6,745 bytesscripts/collect.pyruns · 3,691 bytesscripts/curate.pyruns · 5,563 bytesscripts/dataset_profile.pyruns · 2,024 bytesscripts/in_use_guard.pyruns · 5,045 bytesscripts/make_civitai_pack.pyruns · 8,600 bytesscripts/tag_dataset.pyruns · 22,674 bytesscripts/validate.pyruns · 11,903 bytestests/test_in_use_guard.pyruns · 7,797 bytestests/test_pipeline_scripts.pyruns · 9,109 bytes
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# lora-pipeline — 从「角色名字」到「Civitai 草稿」的端到端流水线
把「帮我做一个 X 的 LoRA」变成一条受控流水线:**收图 → 精修 → 打标/复查 → 体检 → 训练 → 验证 → 打包上传(停在 Draft)**。本 skill 是**总指挥**——真正的训练交给 [`lora-trainer`](../lora-trainer/SKILL.md),质量交给 [`dataset-doctor`](../dataset-doctor/SKILL.md),自己负责把两端(收集/精修/打标 和 验证/发布)接起来。默认 **Anima 优先**。
> **两道人类闸门,不可移动:**
> 1. **训练前必须出「确认卡」** 并取得明确同意(继承 `lora-trainer` 的规则)——训练慢、占显存、难回退。
> 2. **绝不自动发布。** 全流程可以自动到 **Draft(草稿)**为止;点 Publish 是公开行为、会被索引,**必须由用户亲自点**。没有用户当场明说「发布」,绝不传 `--publish`。
## 依赖的本地工具(环境相关)
这些是外部本地工具；表中路径/端口是惯例默认值，脚本都可用 flag/env 覆盖。契约细节见两份参考文档。
| 工具 | 用途 | 默认位置 |
|---|---|---|