Instructions to use cocktailpeanut/kaiji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cocktailpeanut/kaiji 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("cocktailpeanut/kaiji") prompt = "kj style man enjoying coffee with his eyes closed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by cocktailpeanut - opened
Generated example for model cocktailpeanut/kaiji.
Prompt: kj style evil old man playing golf
cocktailpeanut changed pull request status to merged