Instructions to use blowing-up-groundhogs/emuru_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blowing-up-groundhogs/emuru_vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blowing-up-groundhogs/emuru_vae", 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
Download samples/lam_sample_reconstructed.png from blowing-up-groundhogs/emuru_vae: direct link, hf CLI and curl.
- Browser
- Download file 25.7 kB
-
https://huggingface.co/blowing-up-groundhogs/emuru_vae/resolve/main/samples/lam_sample_reconstructed.png
- Command line
-
hf download hf://blowing-up-groundhogs/emuru_vae/samples/lam_sample_reconstructed.png
-
curl -L -o lam_sample_reconstructed.png https://huggingface.co/blowing-up-groundhogs/emuru_vae/resolve/main/samples/lam_sample_reconstructed.png
25.7 kB
