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", torch_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:
- 65a026db81eebfb0da9007eff9af3f0c60a3576e53595efeed7691fc70565f7b
- Size of remote file:
- 32.7 kB
- SHA256:
- 5f66cfe2f3f81335376df4a6a8abda21a87882afe5bcb79420d60b7d73f140d4
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