Instructions to use zecloud/saoinstru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zecloud/saoinstru with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zecloud/saoinstru", 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:
- 0e010256ff8df25352cca4d4719f59eb174592e3873681426c96bd5fe3a6877a
- Size of remote file:
- 2 kB
- SHA256:
- f6da0265ef388fbe5e870ce634e327b08f90cae49634e4a3c507c0203c916cd4
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