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:
- 8a56ff4a22257988c28b2eae6ca2123dd9490bd6da6cdad9cd1f8e8e817fb7dd
- Size of remote file:
- 433 kB
- SHA256:
- 9d0b5b5da5d7e492666313b3a4e1a61bdcd37a0a3e36e6b2e6dac9ec4f8bb527
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