Instructions to use ShadowAugust/basedb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadowAugust/basedb2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadowAugust/basedb2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ef473f06beac330148002ab115f4a881381fc589e3072c43dfcd55db257ad4f1
- Size of remote file:
- 335 MB
- SHA256:
- 17d482ce760502e818691ad6dff5e3086674b017ec5706e71d1db57f02e481f0
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