NAI-X v2.0
The latest and most balanced version. Closely aligned with the original V-Pred base, but cleaner, more stable, and easier to use. Built using a simplified merging recipe for better prompt robustness and visual quality.
NAI-X-soft (v1.0-soft)
A light refinement of NoobAI-XL V-Pred. Focuses on composition, anatomy, and color improvements while keeping all original tokens and tag behavior intact.
NAI-X-zero (v1.0-zero)
A stronger, more expressive variant. Adds LoRA DPO and deeper changes in rendering logic. Sharper detail and stronger prompt influence, especially on faces and backgrounds.
Recommended Settings
To get the best results from NAI-X, use the parameters below. These match the internal design of V-Prediction models and avoid issues caused by incompatible samplers or configurations.
For dramatic or dark scenes:
Add low key lighting, night, dark, moody, candlelight, or backlight to enhance contrast and depth without breaking the model.
Recipe NAI-X v2
version 0.1.0
model "NAI\\vpred\\noobai-vpred-kirazuri-lazuli-1.1.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\kirazuriLazuliNoobaiV_v20NoobaiVPred1.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\hikariNoobVPred_121.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\MIDNIGHT_NAI-XL_vPredV1_Baked_VAE.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\NoobAI-XL-Vpred-v1.0.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "karcher_mean" &0 &1 &2 &3 &4 max_iter=30.000000000000007 tol="3e-06" alphas="0.22, 0.12, 0.22, 0.22, 0.22"
Karcher mean (Riemannian center of mass): a generalization of the arithmetic mean to curved spaces (Riemannian manifolds), finding the point that minimizes the sum of squared Riemannian distances to all checkpoints.
A NoobAI-XL-Vpred-v1.0.safetensors
B NAI-X-zero
clip
dare-ties(sum) + clerp
ratio 0.75 drop 0.25 iterations 3
u-net
MBW [1,1,0,0,0,0,0.2,0.4,0.6,0.8,1,1,1,1,1,1,1,1,1,1,1,1,1]
