Instructions to use scribbyotx/sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scribbyotx/sa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("scribbyotx/sa", 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:
- 3dd90c1a82e2ffacc0ea0122ec9f79b821924430c61bac7be01b3d8b2ec0a1cb
- Size of remote file:
- 135 Bytes
- SHA256:
- d6c3778206d173f0f5308a706d7f69002451d79e9fa8180448242cf8a8f45a82
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