Instructions to use Fragiskos/Wu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fragiskos/Wu 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("Fragiskos/Wu") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Sensei_Master Wu [Ninjago] - Weights Model.zip
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oid sha256:ddcea83764005f70056fa1a3a1da8fa591be5bce43e7fabe298c44f4f8b9cf16
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size 63883556
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images/f9f25d566a8922c8515ae07851d2cd1a.jpg
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