Instructions to use cucucu666/wink-8.8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cucucu666/wink-8.8 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-8.8") prompt = "Lego male face, Lego style, winking expression, one_eye_closed, gentle smile, plain white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f61084f108d2814fe675b95a47ed94c40cbd0b12eb1533952be187ce315f4812
- Size of remote file:
- 583 kB
- SHA256:
- b8ab6ccb99ae58fde9437dcc48625ebbca93b9a5a9f711075362bde6d6e77499
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.