Instructions to use sebrosen8/rose-shield-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sebrosen8/rose-shield-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sebrosen8/rose-shield-model", dtype=torch.bfloat16, device_map="cuda") prompt = "dreamroseshield" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 135 Bytes
476ebb3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:11fec06687bc8ac593dded18b9ef0a4f39636be298c6dae371e1f8a94f25ca87
size 1361677143
|