Instructions to use vectorforever/Basil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vectorforever/Basil 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("vectorforever/Basil") prompt = "BASIL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cce4ac94787940e320a85c1179b17513d831313f5868eb236bb8a2cf0205646f
- Size of remote file:
- 172 MB
- SHA256:
- 83e3072f719951f6ae44f36a1a3dd30adc86f42d2290d77f425dbd49696afeb7
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