Instructions to use Arczisan/vixon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/vixon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Arczisan/vixon") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000_\u0000s\u0000l\u0000i\u0000d\u0000e\u0000r\u0000_\u0000v\u00004\u0000:\u00001\u0000>\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000 \u0000v\u00001\u0000x\u00000\u0000n\u0000s\u0000t\u0000y\u0000l\u00003\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000v\u00001\u0000x\u00000\u0000n\u0000s\u0000t\u0000y\u0000l\u00003\u0000:\u00001\u0000>\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000,\u0000 \u0000t\u0000a\u0000t\u0000t\u0000o\u0000o\u0000s\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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