Instructions to use Krebzonide/LazyMixPlus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Krebzonide/LazyMixPlus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Krebzonide/LazyMixPlus", 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:
- 804431b2310ad045319c861f3617346ac65e7ed8066346124210796ae22c6bb3
- Size of remote file:
- 167 MB
- SHA256:
- f7ad9a890d189f331d29b8d0d0b065ef8e62b915b78a3cda69f48828e8d6e90e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.