For WAN 2.2 inference.<a target="_blank" rel="ugc" href="https://huggingface.co/PGCRYPT/SS_FACES_wan2.2">More Faces here</a><h3 id="if-you-enjoy-this-pack-and-want-to-support-my-work-you-can-buy-me-a-coffee-here:-buymeacoffee.comdesignedbycrt">If you enjoy this pack and want to support my work, you can buy me a coffee here: 👉 <a target="_new" rel="ugc" href="https://buymeacoffee.com/designedbycrt">buymeacoffee.com/designedbycrt</a> </h3><h3 id="this-is-my-runpod-referal-link-to-earn-5dollar-wich-is-about-6h-of-free-rtx-5090-usage-:-https:runpod.iorefu7b2habt">This is my RUNPOD referal link to earn 5$, wich is about 6h of free RTX 5090 usage : <a target="_blank" rel="ugc" href="https://runpod.io?ref=u7b2habt">https://runpod.io?ref=u7b2habt</a></h3>It also helps me to train new models, thanks.

SECRET SAUCE WAN 2.2

This Pack Contains:INGREDIENTS for specialized features:<ul><li>14 High-Noise Models</li><li>10 Low-Noise Models</li><li>7 Face Models (HuggingFace link included)</li></ul> I recommend euler 8/12 steps, shift 5/8.When using multiple LoRA in a stack, try to balance the strenghts to not overcook your renders

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