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:
- a6c8ebe31232e8ee1b37d9e280e0a48f5c88748d73ffd4c35460301cd7c60a41
- Size of remote file:
- 2.45 MB
- SHA256:
- 57cc22496b7c34910d3e25ddbece884bd9ec8d25437f6d6917761b87e5077e7a
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