Instructions to use AlexanderLab/NKSTRTWR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/NKSTRTWR 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/NKSTRTWR") prompt = "NKSTRTWR" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 16fc4ec00f35b6d8277ddc1a3a91fb6dd0577e1e59a27743e553a5ebdeb4fd21
- Size of remote file:
- 344 MB
- SHA256:
- 84ea3eee623e0b9aee37a51a8092fb926c40d0090c3821f8db3122567b7318b1
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