Instructions to use MudeHui/vae-f16-c16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MudeHui/vae-f16-c16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MudeHui/vae-f16-c16", 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 kl16.ckpt from MudeHui/vae-f16-c16: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/MudeHui/vae-f16-c16/resolve/main/kl16.ckpt
- Command line
-
hf download hf://MudeHui/vae-f16-c16/kl16.ckpt
-
curl -L -o kl16.ckpt https://huggingface.co/MudeHui/vae-f16-c16/resolve/main/kl16.ckpt
266 MB
- Xet hash:
- 978d7f9229263c89676bfa73630e8d63d3d11415298dfdb9d87c76b166507add
- Size of remote file:
- 266 MB
- SHA256:
- 34ce001bcfffb7af67ec8af1e683a30d7bd45760855ddc7deedc1330f2cfd38f
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