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:
- c410524844a46ed71855fa7e38e73ed8ef27ff5d6ef9d7be9b64bd517c528d08
- Size of remote file:
- 2.47 MB
- SHA256:
- c5bbc6edb1a69c995961e985a188c580966f270d6c4e0a2d2483254775cd2c48
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