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[IL] Smith & Wesson Model 10 / S&W M&P Revolver

#

#武器

#左輪手槍

#手槍

#偵探

#軍事

#NoiR

[IL] Smith & Wesson Model 10 / S&W M&P Revolver - AI Model cover image
上傳時間
2026年4月13日 下午6:31
使用數
11
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觸發詞

M10, revolver, handgun, snubnosed revolver

許可權
  • 允許圖片生成與分享
  • 允許使用者下載此模型
  • 允許生成圖片用於商業用途

描述

Introduced in 1899, the Smith & Wesson Military & Police (M&P) is a revolver capable of both single action and double action firing that is equipped with a swing out cylinder for rapid unloading/reloading and is (generally) chambered in .38 Special. It was later rebranded the “Model 10” when the company reorganized its catalog and standardized its naming scheme in the 1950s. Over 6 million have been produced over its 100 years and counting production, and examples have been sold all over the world. Its long production and high sales mean a Model 10 is appropriate for virtually all characters (essentially anyone not from an organization known to use a different handgun) after 1900. It is particularly appropriate for most 1900s police forces (though many begin phasing out their revolvers in roughly the 1990s), World War I French (and French equipped) soldiers (who utilized Spanish made copies), World War II Commonwealth soldiers (After a contract for a S&W made carbine was canceled when its low suitability became clear, the company would renegotiate the contract into one for handguns rather than repay the advance it had already spent), American civilians (including "noir" types), and many more.Weight: 0.8 (contorts horribly at higher weights. May be able to use it a full strength with advanced tool like Mistoline or inpainting to force shape. Edit: Contortion may be sampler dependent? Could try full strength with something other than Euler A)Trigger: M10, revolver, handgunOptional: snubnosed revolverTrained with: hand focus, weapon focus, still life, finger on trigger, trigger discipline, aiming, cocked hammer, two-handedMade with 15 anime pics, 22 photographs/movie stills, and 1 lineart drawing for a total of (appropriately enough) 38 images in training data.

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