Train custom LoRAs with ostris AI-Toolkit — covers WAN 2.2/2.1 (people, styles, video motion) and Z-Image (Turbo & Base, low-VRAM image LoRAs). Use when the user wants to train a WAN or Z-Image LoRA; covers local + RunPod setup, dataset prep, key params, and using the result in a ComfyUI workflow.
How to install ai-toolkit-trainer?
artokun/comfyui-mcp/ai-toolkit-trainer
$npx -y skills add artokun/comfyui-mcp --skill ai-toolkit-trainerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/artokun/comfyui-mcp" --skill "artokun/comfyui-mcp/ai-toolkit-trainer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/artokun/comfyui-mcp" that are relevant to the current task. Run `npx skills add "https://github.com/artokun/comfyui-mcp"` and select the relevant skills, then follow their instructions.
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