Instructions to use tugan0329/flux-dev-priapus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tugan0329/flux-dev-priapus 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("tugan0329/flux-dev-priapus") prompt = "A photo of a cartoon muscular man PRIAPUS, shirtless with red tribal tattoos, strikes a heroic pose on a mountain peak, arms spread wide as if embracing the world, wearing pants. The dramatic lighting and his confident expression highlight his dominance and connection with the wild terrain." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K