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:
- 84a4ccdc897988790d8b3f24ad2230461795074d6c8bc36c80a80eab64f18f72
- Size of remote file:
- 2.13 MB
- SHA256:
- 2427de83b4b11449e5211efbb88b7f19462ea5fa875533630d75a8bf8d63a34a
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