Instructions to use lume534/Lumi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lume534/Lumi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lume534/Lumi") prompt = "Fashion-forward girl with platinum blonde high ponytail, wearing a white lace top, black acrylic nails, layered silver rings and necklaces, posing against a dark velvet curtain backdrop. Moody lighting, editorial style, close-up portrait, cinematic shadows, Vogue-inspired composition." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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