Instructions to use xkronosx/AutoEncoder-CelebA-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-CelebA-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xkronosx/AutoEncoder-CelebA-256", 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
File size: 132 Bytes
878cbed | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8191b5b0286d4958fa0d21c3e1a7f2a1df74c2b29f450a26a51d1f7240ff518e
size 2734155
|