Instructions to use xkronosx/AutoEncoder-mnist-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-mnist-32 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-mnist-32", 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:
- 7e909b7d0433bbcb6102c5a016d43a607ae62c1c7461213fc9e1dcb26514e71f
- Size of remote file:
- 410 kB
- SHA256:
- 38ec7e82a18cc88581545a4af3809a43e1654eda1a227081a03aa15e79571277
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