Instructions to use Letian2003/unified_vit_v59-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Letian2003/unified_vit_v59-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Letian2003/unified_vit_v59-vae", 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:
- d3a7b803231c0e9e81a3b83269983c5841d2e773eec568f1d0d674e48626b8e9
- Size of remote file:
- 335 MB
- SHA256:
- 2f01d30c5f942ccd9c83d8f9c61cb430742a502e6dd544cc56a6c32c35b6a1b3
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