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:
- 4c6e46aeffd53812a2d30483c20a5e4ddac267dd1cfc5778d878e75a3fb7eb3e
- Size of remote file:
- 1 kB
- SHA256:
- aa5d23c97d67485d406bd9307fc5beff6303b8656fd685ad28b62422f4c19b16
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