Individual skill
train-character-lora
Train a character/identity LoRA locally on FLUX.1-dev via the comfyui-mcp train_* tools (GPU Docker + ostris ai-toolkit). Use when the user wants to train a LoRA of a person/character from their photos on the local GPU. Covers dataset prep, launch, monitoring, and using the result in ComfyUI. For WAN/Z-Image training via the ai-toolkit UI see ai-toolkit-trainer.
plugin/skills/train-character-lora/SKILL.md
Source commit 707474d24d0d251ba04a1bebdf86620cef2eaa8b
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- Last checked
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- Repository last updated
- Nov 9, 2026
- License
- MIT
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- agent-skills Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- claude-plugin Repository topic
- comfyui Repository topic
- comfyui-extension Repository topic
- flux Repository topic
- image-generation Repository topic
- mcp Repository topic
- mcp-server Repository topic
- design Derived category
- devops Derived category
- design-interface Derived category
- devops-containers Derived category
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# Train a Character LoRA (local, Flux.1-dev)
## Overview
The trainer runs ostris ai-toolkit's `run.py` inside a headless GPU Docker container,
driven through the three `train_*` MCP tools. You (the LLM) are the UI. Each takes
an `action`: `train_prepare_dataset` owns the datasets, `train_start` owns the jobs, and
`train_doctor` owns the trainer itself. You generate the dataset, launch the job, watch
progress, and the finished LoRA lands in ComfyUI `models/loras/` and the LoRA catalog
without further steps.
- Base model: FLUX.1-dev (the best proven character consistency; needs ~24GB VRAM with
quantization, RTX 4090 class).
- Phase-1 scope: character LoRAs only. Style/slider/edit and other bases come later.