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:
- 48cdb72b361eece1f70a07ff6d87c687267808e9e7f259c8fb671dc9bb84149f
- Size of remote file:
- 492 MB
- SHA256:
- 1cf17049c8d60f4366dbc97012bf12f36e50613e615124b0e1598a9e3baf0970
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