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
- Draw Things
- DiffusionBee
Rose Shield model Dreambooth model trained by sebrosen8 with Hugging Face Dreambooth Training Space with the None base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
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