Instructions to use APRKDEV/argus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use APRKDEV/argus-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("APRKDEV/argus-base", 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

- Xet hash:
- b5eefe46006efa72062ab833883ada8489b197464f6ae15a5e4d2eb30156023f
- Size of remote file:
- 1.31 MB
- SHA256:
- 550e95eedd38419367da0bbb5128708abdd5260d341d3cbd3b648e1a55992ef8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.