Instructions to use AlexanderLab/wmnk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/wmnk 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexanderLab/wmnk") prompt = "WMNK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9d4966f168e3928d90f9426360481ea609638a32762b2b96eed9bb926cdd8faf
- Size of remote file:
- 344 MB
- SHA256:
- 1fc25c0b49b09432916652615cd0a18e0d11fa51a438a8be8e4310cb5da78413
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