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:
- 056bc13910dfd8bd0f11876fe449d585bc9fda2b2f1a155f6855d14308cb7bf7
- Size of remote file:
- 79.2 MB
- SHA256:
- 04e006279d6b0b7183139f8654ec3272447662e6473a8177d037029082b9b7e9
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