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 input_grid.png from gabehubner/vae-256px-8z: direct link, hf CLI and curl.
- Browser
- Download file 5.11 MB
-
https://huggingface.co/gabehubner/vae-256px-8z/resolve/main/input_grid.png
- Command line
-
hf download hf://gabehubner/vae-256px-8z/input_grid.png
-
curl -L -o input_grid.png https://huggingface.co/gabehubner/vae-256px-8z/resolve/main/input_grid.png
5.11 MB

- Xet hash:
- 4aede540b36ba6bfa45ecdbb828f22042edc94dd5aa0d48b8714c377867adaa2
- Size of remote file:
- 5.11 MB
- SHA256:
- 0f4dfa6b0f53bc2ada3163b1fe5ecd3b580a158d6d4c64aa435dc1aba3fa905f
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