Instructions to use xkronosx/AutoEncoder-ffhq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-ffhq-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-ffhq-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:
- 14c41cf0b3a3efd5d3b0777a70d332178985687d05849d4d7d84cc466ed4fbfe
- Size of remote file:
- 2.47 MB
- SHA256:
- cbb8f91e5243281a4283cd3b95d5e14e66b413579e1f25f92a611002a68c1498
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