Instructions to use moonrabbit256/2K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonrabbit256/2K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moonrabbit256/2K", 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:
- a96aa67dac8549fa8e2f509b3f0d711f06928d1b86dfc94abd581ef2928ee90d
- Size of remote file:
- 335 MB
- SHA256:
- 2db22eb5ad626ef4fbeb97fbceb22cdd48b397809464c60b948da1898e089fa0
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