Instructions to use Danrisi/Lenovo_Anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danrisi/Lenovo_Anima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Danrisi/Lenovo_Anima", dtype=torch.bfloat16, device_map="cuda") prompt = "RAW photo, photography, amateur quality, candid style. underexposed outdoor scene, 1girl d.va from overwatch, facepaint, wearing dark trench coat, looking at the viewer, outdoors in the dark forest, autumn, lit cigarette between her lips, her hand in front of her neck, sunlight filtering through the trees. amateur quality, candid style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K