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:
- 4fa25f607100d8f9de0a0e8a4ca60ccfb2dd78e6fdd70918e0e38ad8e90e5586
- Size of remote file:
- 2.03 kB
- SHA256:
- 3bef856b3fbe34f7159cd7c74387ece26fdb52ad31a9aafc5cdcc29bc2e08abb
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