Feature Extraction
Diffusers
Safetensors
English
autoencoder
vision-foundation-model
dinov2
dinov3
mae
siglip2
pae
Instructions to use BiliSakura/PAE-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/PAE-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/PAE-diffusers", 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:
- 45c5fea00d7f2d789802a516b9bed30c05f8173adb861e67034361ffb40e8c9a
- Size of remote file:
- 1.24 GB
- SHA256:
- 313211153c3fbe6ea36c131eb41815c68acf50ab0a638a32ee6fae0a924d3d33
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