Instructions to use Norod78/SD15-IllusionDiffusionPattern-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/SD15-IllusionDiffusionPattern-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Norod78/SD15-IllusionDiffusionPattern-LoRA") prompt = "Wonderwoman IllusionDiffusionPattern" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: IllusionDiffusionPattern
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
datasets:
- Norod78/microsoft-fluentui-emoji-512-whitebg
widget:
- text: Wonderwoman IllusionDiffusionPattern
- text: A spiral wormhole IllusionDiffusionPattern
- text: Dog IllusionDiffusionPattern
- text: Skull IllusionDiffusionPattern
inference: true
language:
- en
Trigger word
Use "IllusionDiffusionPattern" in your prompts
Dataset
Trained upon the "high contrast" suffixed images in Norod78/microsoft-fluentui-emoji-512-whitebg
Intended use
- Generate input pattern images to be used with qrcode_monster
- Use LoRA scale weights in the range of around 0.5 to 0.8



