Instructions to use FlyingRoastDuck/I_DRUID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FlyingRoastDuck/I_DRUID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FlyingRoastDuck/I_DRUID", 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
| license: mit | |
| datasets: | |
| - HuiZhang0812/LayoutSAM-eval | |
| language: | |
| - en | |
| base_model: | |
| - stabilityai/stable-diffusion-3.5-medium | |