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:
- 1a48dcb3d116b6959a4ae9e306d8d7104136d8215bfaf5836d2cc505f49f95f3
- Size of remote file:
- 492 MB
- SHA256:
- 79a4434fabb384347885a1bce1eaa3dcf9add98c3c729921cff5b6e729eecc28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.