Instructions to use sharper740/tae2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sharper740/tae2 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/tae2", 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 encoder.pth from sharper740/tae2: direct link, hf CLI and curl.
- Browser
- Download file 2.49 MB
-
https://huggingface.co/sharper740/tae2/resolve/main/encoder.pth
- Command line
-
hf download hf://sharper740/tae2/encoder.pth
-
curl -L -o encoder.pth https://huggingface.co/sharper740/tae2/resolve/main/encoder.pth
2.49 MB
- Xet hash:
- 49aa0fa11b11a5de76af1b4e82de6b3c3642f69e8e8ddd269122434452c409c1
- Size of remote file:
- 2.49 MB
- SHA256:
- 0a808e5093dd298a7df09329da3b81ba9bed968c97f289f32288023f93f2b53c
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