Instructions to use mkshing/lora-trained-jsdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mkshing/lora-trained-jsdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/japanese-stable-diffusion-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mkshing/lora-trained-jsdxl") prompt = "輻の犬" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee