Instructions to use personal1802/BETTER_NTRMIX_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/BETTER_NTRMIX_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/millennium-il-modified-illustrious-xl-v10-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/BETTER_NTRMIX_LoRA") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
BETTER NTRMIX LoRA

- Prompt
- -
Model description
This model is recommended for use with NTRMIX 2.1.
Recommended Setting
Just put this LoRA with 0.5 Strength!
This LoRA will help your NTRMIX work better! It works especially well with NTRMIX 2.1. About 200 datasets have been further trained. It also removes the dullness of NTRMIX's default plotting style.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 42