QUANDI

Lore-friendly SPID Distribution for Witcher armor mods to both unique and non-unique NPCs. General distribution to bandits, vampires, Black-briar Mercs etc. included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for NordWarUA’s armor mods to both unique and non-unique NPCs. General distribution to bandits, silver hand, orcs, alik'r etc. included. Adjust probabilities to your liking. Not all mods needed to use distribution. Will be adding more mods with time.

Lore-friendly SPID Distribution for a few assassin armor mods to both unique and non-unique NPCs, including a few Dark Brotherhood NPCs. General distribution to bandits, assassins etc. also included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for ChakraSSE's armor mods to both unique and non-unique NPCs. General distribution to bandits, cultits etc. also included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for various evil themed armor mods to both unique and non-unique NPCs, including many Volkihar Vampires. General distribution to vampires, mages, etc. also included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for Kozakowy's outfit mods to both unique and non-unique NPCs, including many Volkihar Vampires. General distribution to vampires, mages, etc. also included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution to both unique and non-unique Dunmer NPCs using Creation Club/vanilla outfits, Ashlander Apparel, Ash Pilgrim's Garments, Morrowind Armor-Netch Leather. General distribution to bandits and mages also included. Adjust probabilities to your liking. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for a few of Mihail's armor mods to both unique and non-unique NPCs. General distribution to necromancers and dremora also included. Adjust probabilities to your liking. Not all mods needed to use distribution, though you will not get full distribution unless you have all of them.

Lore-friendly SPID Distribution for Pulcharmsolis's armors to both unique and non-unique NPCs. General distribution to bandits, mages, etc. also included. Adjust probabilities to your liking. Not all mods needed to use distribution, though you will not get full distribution unless you have all of them.

Lore-friendly SPID Distribution for 4th Unknown's Armors to both unique and non-unique NPCs. General distribution to bandits, dremora, etc. also included, adjust probabilities to your liking. Not all mods needed to use distribution, though you will not get full distribution unless you have all of them.

Lore-friendly SPID Distribution for Fuse's Armors. Covers around 40 named NPCs including many Thieves Guild NPCs. General distribution to bandits, mages, etc. also included, adjust probabilities to your liking. Not all mods needed to use distribution, disable/hide any plugins you are not using.

Lore-friendly SPID Armor Distribution that covers named NPCs in the Companions, Sovngarde, and Bandits with armors from Christine's Dragon Series. Only high-level bandits will receive the armors. Bonus file included as well. You do not need all of the armors to use this distribution.

Lore-friendly SPID clothing Distribution that covers 60 named NPCs with Steelfeather's clothing mods, Queen Marika's Dress, Skaal MofuMofu Coat, Breton Apparel - Imperial Renaissance, Gearshout's mods, and QuarantineCouture's mods. General distribution to bandits, mages, etc. also included. Not all mods needed to use distribution.

Lore-friendly SPID Distribution for Divine Elegance, TW3 Female Armors, zzjay Skyrim Attire - SE, and Ashara Imperial Outfits. Covers and distributes unique outfits to around 200 named NPCs. General distribution to bandits, mages, etc. also included. Not all mods needed to use distribution, but not all NPCs will be covered without them all.