Instructions to use Niggendar/RandomNYK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niggendar/RandomNYK with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/RandomNYK", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ff387c2d84de72f6e0e6b121d87c8f5c5b430b819ca6b2a835dc73d7d5a0ca77
- Size of remote file:
- 1.39 GB
- SHA256:
- d1a16926deef6927f2fb976abe4962b625a8e61830bed5b87714f19a141fd549
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