---
title: "Stable Diffusion LoRA Training Pipeline"
description: "Orchestrates LoRA fine-tuning for Stable Diffusion XL using the diffusers library and Kohya ss-scripts. Manages dataset preparation with BLIP-2 auto-captioning, configures AdaFactor optimizer parameters, and exports safetensors checkpoints with A1111 metadata embedding."
verification: "security_reviewed"
source: "https://github.com/Stability-AI/stablediffusion"
category:
  - "Image & Creative Automation"
framework:
  - "Custom Agents"
---

# Stable Diffusion LoRA Training Pipeline

Orchestrates LoRA fine-tuning for Stable Diffusion XL using the diffusers library and Kohya ss-scripts. Manages dataset preparation with BLIP-2 auto-captioning, configures AdaFactor optimizer parameters, and exports safetensors checkpoints with A1111 metadata embedding.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/stable-diffusion-lora-training-pipeline/)
