Instructions to use kylix98/actionhug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kylix98/actionhug with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/stable-diffusion-xl-base-1.0-fp16", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kylix98/actionhug") prompt = "actionhug, natural affectionate motion, smooth interaction between two characters, realistic body contact, no sharp transitions." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!