Instructions to use ZProphete/awesome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZProphete/awesome with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZProphete/awesome", 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:
- cae7bf72e05d1abbda335a717c6149cede84a63d94614fea797da013060a359f
- Size of remote file:
- 3.44 GB
- SHA256:
- 9e381b2e102bea61323e76893e2aaa3713344810a4c4e334a3c16c9dbda8d4e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.