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:
- df14ced68a94af0e2ee8738fd7c6f091fc88f9f014775491cfaee7fbc3c2d06e
- Size of remote file:
- 5.14 GB
- SHA256:
- 83e012a805b84c7ca28e5646747c90a243c65c8ba4f070e2d7ddc9d74661e139
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