Instructions to use xkronosx/AutoEncoder-cifar10-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-cifar10-64 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-cifar10-64", 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:
- 887f32fb05031a3f23f08da8b79b5d17d450fa0015109d505dda2c9d1833c49f
- Size of remote file:
- 882 kB
- SHA256:
- fa43f3bba3cc4000720679f44ce914921c1380bc7eef475689eecfddb5ac8325
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