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
- Xet hash:
- d0c3bd0662b624397b47ab014797acbfc7d5e191bf3fee80376f5804a1f4ca90
- Size of remote file:
- 4.9 MB
- SHA256:
- 0f0ede105366fbb9dd5ce1923b130553ac87dcf0dfa9094e3550a007867d8065
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.