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
- Xet hash:
- 1ae07d36b70aac8626baafdc08c01d15252e5db3d3db7fd05ea1b184f5867a03
- Size of remote file:
- 55.9 MB
- SHA256:
- 7ed9e7d295f222c2b1ec2fc7dc1b77f4171f45ca8db9eade82b88f2196561887
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