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Legs on table Concept (NoobAI / Illustrious)

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Legs on table Concept (NoobAI / Illustrious) - AI Model cover image
Uploaded at
Jan 22, 2026, 3:44 PM
Uses
1.5k
Reviews
No reviews
Trigger Words

Legs on table, on chair, chair, table, full body, feet out of frame, crossed ankles, crossed legs, legs together, spread legs, straight-on, three quarter view, from side, sitting

Permissions
  • Allow image generation & sharing
  • Allow users to download this model
  • Allow commercial use of generated images

Description

Hello again my high culture fellows. I came back after chill month with new LoRA.I noticed that Illustrious and NAI not good in such sexy pose so I decided to make it.Recommended model for this LoRA:For V-pred version: - NoobAI-XL V-pred 1.0 or anime mixes.For Epsilon-pred version - NoobAI-XL Epsilon 1.1 , Cyberfix versions or NAI Epsilon mixes.For Illustrious 0.1 version use Illustrious 0.1 or Illustrious mixes.Please, read to prevent crap AI slop making:Main tags:Legs on table, on chair, chair, table, sittingWhat in frame:full body, feet out of frameLegs position:crossed ankles, crossed legs, legs together, spread legsImportant angles:straight-on, three quarter view, from sideTags for feet:1) Any footwear, like "high heels, loafers" or "no shoes" if char wear thighhighs, socks or pantyhose.2) Or naked legs: "barefoot, soles, toes, foot focus"Extra:You can add "3d" or "photorealistic" for 3d render or photo.NoobAI-XL 3D quality settings:Recommended generation settings:Euler A or Euler SGM Uniform, 30 steps.CFG 4-5! (NOT MORE FOR BOTH VERSIONS).For V-pred only: rescale CFG 0.3.Highres fix:0.25-0.5 denoising strength, 12-20 hires steps,Upscalers: Foolhardy Remacri 4x (good and fast, very popular) or DAT 2 x2 (VERY powerful tile upscaler but slow. His main advantage - saving many small details).Also you can try HAT-S SR 2x - it is not so fact as esrgan (foolhardy remacri) but not so slow as DAT and it's also good modern tile upscaler as DAT).Adetailer:Denoising strength 0.25 - 0.3. Detection model confident threshhold: 0.7-0.8.Inpaint only masked padding pixels - 120-140 pix for face models, 156-256 for hands models.Please don't forget to rate my LoRA. This motivates me to do more!https://tensor.art/u/604375505701151021

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