Instructions to use stuff123456/wanfrenchkiss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stuff123456/wanfrenchkiss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stuff123456/wanfrenchkiss") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 10
Model tree for stuff123456/wanfrenchkiss
Base model
ByteDance/Bernini-R