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
- Xet hash:
- 782314b4d11b160770ea5a67e5dd93c9d27cdcc8d6f644e45a49c96a76c4eb32
- Size of remote file:
- 1.36 GB
- SHA256:
- 11fec06687bc8ac593dded18b9ef0a4f39636be298c6dae371e1f8a94f25ca87
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