Instructions to use ChandrilBasu/cavill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/cavill 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("ChandrilBasu/cavill") prompt = "This is a high-resolution, colour photograph of a tall muscular man dressed in a (Genuine mister lederhosen made from 100% thick cowhide leather, white shirt, with straps, pulled together across the chest, and matching leather shoes). He stands in front of a row of polished marble and metal lockers in what appears to be a gym or locker room. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K