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:
- 94e85b3b892d1a57d3f19b231c7f7ba8ee21ce6d6037118c17c1a87ee12ddcb0
- Size of remote file:
- 581 kB
- SHA256:
- a7906b4d7600cb5f066ed9cdad7929c2793b3181dbc1960502b906e949fcc8f3
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