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("n1x-ax/ln-mox")
prompt = "ln-mox"
image = pipe(prompt).images[0]Ln-Mox
- Prompt
- ln-mox
Model description
The LN-moX model, trained on the collaborative artworks of Alex Nix and Liza Borovikova, captures the essence of their “Personal Diary of Textures.” This diary explores digital nature and virtual traveling, born from the melancholy of quarantine and a yearning for tactile sensations. The artists transformed 3D patterns into physical prints via acetone transfer, then layered and distorted them through digital reshooting, creating unique textures and volumes.
This marks the 4th transformation, succeeding Digital Art - Analog Transformation, and Photo Reshoot. The model embodies their innovative journey of turning digital explorations into tangible art.
Prompt Examples:
Some use examples:
Trigger words
You should use ln-mox to trigger the image generation.
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Base model
runwayml/stable-diffusion-v1-5