![[SDXL] Artist Style: Yoneyama Mai/米山舞 by silvermoong on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/e5373189-6664-cb46-2770-b118992d61fb.png)
![[SDXL] Artist Style: Yoneyama Mai/米山舞 by silvermoong on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/d97348fb-07d4-6ec2-a5c9-1f542d45ca8b.png)
![[SDXL] Artist Style: Yoneyama Mai/米山舞 by silvermoong on Tensor.Art](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=500,q=85/model_showcase/0/ab3c8ec0-329e-2090-8766-b1120cdd421c.png)
SDXL LoRA/LyCORIS works best on its original training model. You may need to reduce weight when using it with other models or additional LoRAs. LyCORIS Combination Recommendation: Try using four of my LyCORIS models with the following weights: 0.4, 0.3, 0.2, 0.2 (or any combination with a total weight around 1.0).
I will release multiple versions for a few popular models. Feel free to request for artist or model.
Version naming convention: MajorVersion.MinorVersion [BaseModel]
MajorVesion: For big updates that can apply to any style LoRA. For example, training parameter update.
MinorVersion: For small updates that only apply to this LoRA. For example, epoch selection, removing a certain image from dataset.
BaseModel: SDXL LoRA/LyCORIS works best on the model that it was trained on.