Instructions to use taraxis/nekolora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/nekolora1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("taraxis/nekolora1") prompt = "nkoctst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f4226e1995d4a0caf4dfc6e607ca9a67a401c9cbec92d269916578e37545dbde
- Size of remote file:
- 3.29 MB
- SHA256:
- 577beb67aab56dc0029f201bd13be0bfda68e9f66e00deb64438a6069f1620c0
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