Instructions to use sharper740/tae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sharper740/tae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sharper740/tae", 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
Download decoder.pth from sharper740/tae: direct link, hf CLI and curl.
- Browser
- Download file 2.49 MB
-
https://huggingface.co/sharper740/tae/resolve/main/decoder.pth
- Command line
-
hf download hf://sharper740/tae/decoder.pth
-
curl -L -o decoder.pth https://huggingface.co/sharper740/tae/resolve/main/decoder.pth
2.49 MB
- Xet hash:
- 96560a7d858e7386bf9e1f9643b03bca508b653466563c8c28b9aba41cdc37d7
- Size of remote file:
- 2.49 MB
- SHA256:
- f7e85a093942d8d5fb785867065bd9dd1a38eb51e46af7bd5e24e0ef530b5bd9
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