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:
- 94fe5f25cca63e506befd58982883b9db35c598c097e4c0712b1f30dd77d9650
- Size of remote file:
- 2.85 MB
- SHA256:
- 82edf5c2d1222461df4f6c3701844b690e2856e7b66d4c0c72c4e6bd41d6d64d
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