Instructions to use wxli318/GlassWizard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wxli318/GlassWizard with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wxli318/GlassWizard", 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
- Xet hash:
- 646fea2a0a7e5554a81678c3aca65c35714f16b855534a61ec5bcf8201e136bc
- Size of remote file:
- 3.46 GB
- SHA256:
- 39bda058196aabc8107ed3c7e33dc5b5a25dc57fb1fb671f403e8b0c98f8de28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.