Instructions to use ElChapoII/Vae2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Vae2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ElChapoII/Vae2", 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:
- 76ed19dc19301909622cabbbfc22fefb10264f0852508712233c42914b63181e
- Size of remote file:
- 335 MB
- SHA256:
- 5e6ca41f5388d7a0896fde88232fd5077ba7827e3214ccb193ef82a8aeb2b27c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.