Instructions to use JCTN/JCTN_LORAxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JCTN/JCTN_LORAxl 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/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JCTN/JCTN_LORAxl") prompt = " boogers, free tissue inside" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Super Cereal - SDXL LoRA
boogers, free tissue inside
Multiplier of 0.9 - 1.1 works well on SDXL base. Simple prompts tend to work well. No trigger word needed.
Special thanks to Huggingface for the GPU grant.
Image examples for the model:
star wars wookie bits, free lightsaber inside
kitty litter crunch
t bone steak
black plague, free death inside
barbie and ken
boiled eggs
raw bacon
herpes
pickles
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Model tree for JCTN/JCTN_LORAxl
Base model
stabilityai/stable-diffusion-xl-base-1.0








