Instructions to use phxdev/lanai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phxdev/lanai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("phxdev/lanai") prompt = "An assortment of tropical fruits, a beautiful flower arrangment, a photo on the LANAI" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2d5a40e094bf5fb2bc3a9d208bd55fd099dd1d5f65f2444c9c2b9a8f75fa5616
- Size of remote file:
- 344 MB
- SHA256:
- f53b78acf0dafd69f7cecad28b777b37ba2011f11a244a1744895b6dbe5b4995
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