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:
- 06343b2b7d3017c8c78ef8a6576d6d95b63aee31c1f6b04090063d75849b3316
- Size of remote file:
- 38.5 kB
- SHA256:
- 22d342288616ae941ab940acf304c71204851da8e83ba7e5b82d20abd9da54af
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