# 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.

- Skill: `agentskillexchange/stable-diffusion-lora-training-pipeline` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/stable-diffusion-lora-training-pipeline`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/stable-diffusion-lora-training-pipeline/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/stable-diffusion-lora-training-pipeline

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# 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

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/kohya-ss/sd-scripts.git
- pip install torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
- pip install --upgrade -r requirements.txt
- This installation is for CUDA 12.4. If you use a different version of CUDA, please install the appropriate version of PyTorch. For example, if you use CUDA 12.1, please install pip install torch==2.6.0 torchvision==0....

Requirements and caveats from upstream:
- Python 3.10.x and Git:
- Python 3.10.x: Download Windows installer (64-bit) from https://www.python.org/downloads/windows/
- Python 3.11.x, and 3.12.x will work but not tested.

Basic usage or getting-started notes:
- Open a regular Powershell terminal and type the following inside:
- powershell
- cd sd-scripts

- Source: https://github.com/kohya-ss/sd-scripts
- Extracted from upstream docs: https://raw.githubusercontent.com/kohya-ss/sd-scripts/HEAD/README.md

## Source

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