Instructions to use cucucu666/wink-8.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cucucu666/wink-8.6 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-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cucucu666/wink-8.6") prompt = "Lego male face, Lego style, winking expression, one_eye_closed, gentle smile, plain color background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- fc672b0d7724c44b3c9df3a03cfc23f0d70a6aea4891ec30b3d4353eb9e89871
- Size of remote file:
- 507 kB
- SHA256:
- be83a5902425bfd1650f87effcc3922fdd1d38c8c1c78d7fd7cc2bc3b100c573
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.