Instructions to use gabehubner/vae-256px-8z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gabehubner/vae-256px-8z with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gabehubner/vae-256px-8z", 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 recon_grid.png from gabehubner/vae-256px-8z: direct link, hf CLI and curl.
- Browser
- Download file 5.35 MB
-
https://huggingface.co/gabehubner/vae-256px-8z/resolve/main/recon_grid.png
- Command line
-
hf download hf://gabehubner/vae-256px-8z/recon_grid.png
-
curl -L -o recon_grid.png https://huggingface.co/gabehubner/vae-256px-8z/resolve/main/recon_grid.png
5.35 MB

- Xet hash:
- 3ac8e8683c55ccdfa1cb784e04478c282e29b9dac2c8210afce68af05d2c0a71
- Size of remote file:
- 5.35 MB
- SHA256:
- e642146fd08c97ba45b3d6bba598a6860699f6214adb9ae416612135d472b89e
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