Instructions to use nikhilkr/sdnikrt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nikhilkr/sdnikrt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nikhilkr/sdnikrt", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 49b60367e689a46e89f39ae0a1f86a516ab9cdecb5e29eebf0547a668a8e1bbe
- Size of remote file:
- 492 MB
- SHA256:
- 3c18549d5934c776f235c9131debd707f6db3af97b7b6f3cae8909aa99fe4a72
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