Instructions to use bep40/Lasisan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bep40/Lasisan 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bep40/Lasisan") prompt = "Lasisan" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cbcf1dbb2cd3a10ace2f078ef6d09cb959c3d36771d21ff258bec94c726e0f2a
- Size of remote file:
- 39.8 MB
- SHA256:
- 7684ebac24bd07b6eeb881e6e5934bd54ee32b00ea62ff4cba8845f27feef30b
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