Instructions to use Niggendar/RandomArtist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niggendar/RandomArtist 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/RandomArtist", 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:
- 33e6f363abd36addd21ed138ebbd6703513518397b9145ad2c89a8d01c27cfda
- Size of remote file:
- 246 MB
- SHA256:
- b643a9e8fbba07869a36449415abdee0418a303ee1cc26e2c526e61913c30e17
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