Instructions to use GraydientPlatformAPI/lustify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/lustify with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/lustify", 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:
- 2f41dd6ec149f2b88fbe93ed1bf28706a184918ba4c91ca57a87b8d0524c758d
- Size of remote file:
- 5.14 GB
- SHA256:
- 62e56374fe11a0994475c1e80e3c302a4afea26ebc6f8650d2b7c9f9ab710f56
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.