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:
- 41d60ca5658a5a2cb3c079ac50557b0b5d8d6b5b714945f1f46fd8a46518bdb5
- Size of remote file:
- 439 MB
- SHA256:
- 8ed1940fd66912151c41755f50f5b043a768e64744df431e14e91dd112e77d12
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