Learn how to train WAN 2.2 LoRA for images both locally and on RunPod! In this step-by-step guide, I’ll show you how to set up the tuner, prepare your datasets, and train your own character LoRAs. Whether you’re using a powerful local GPU or renting one in the cloud, this tutorial will give you everything you need to get started.
💡 What you’ll learn:
▸ How to train LoRAs on WAN 2.2 for images
▸ Setting up locally with SK Tuner
▸ Training LoRAs on RunPod using my ready-to-use template
▸ How to install models (VAE, text encoders, diffusion models)
▸ Training both high-noise and low-noise models for best results
▸ Tips on parameters, learning rate, and epochs
📥 Resources & Downloads:
▸ RunPod Template: https://console.runpod.io/deploy?temp…
▸ RunPod: https://runpod.io?ref=49tc28ho
▸ Musubi Tuner GitHub: https://github.com/kohya-ss/musubi-tuner
▸ Workflows & Files (Free on Patreon):https://www.patreon.com/posts/wan-2-2… ✨ Support the Channel:
▸ Patreon: / endangeredai – Access exclusive content & early releases
▸ BuyMeACoffee: https://buymeacoffee.com/endangered – Support ongoing tutorials
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