Instructions to use ototo/sb-1-5-aneld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ototo/sb-1-5-aneld with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ototo/sb-1-5-aneld", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 14ceb0cbd6a0dd9bb30613769c10d2d9df732dccd3ca96c7711b77c39a054e5e
- Size of remote file:
- 492 MB
- SHA256:
- aa4370168b0eecd11ceaa0206231db1616f79e4076fe1eda43457368067500eb
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