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
- Xet hash:
- e969c6772036797815ae48cca7e25fbd9e48a9edff2fb2be470fff38f8e8bd14
- Size of remote file:
- 17.7 MB
- SHA256:
- bdede628324321118d46e5c9a9357a8060df2f89474af52e2b86a6a6e2298e0b
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