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 decoder.pth from sharper740/tae2: direct link, hf CLI and curl.
- Browser
- Download file 2.49 MB
-
https://huggingface.co/sharper740/tae2/resolve/main/decoder.pth
- Command line
-
hf download hf://sharper740/tae2/decoder.pth
-
curl -L -o decoder.pth https://huggingface.co/sharper740/tae2/resolve/main/decoder.pth
2.49 MB
- Xet hash:
- 0b972606ee1f81a4cd86afbd2b20337b83d7bb82eed121789cb88e3a95a57be1
- Size of remote file:
- 2.49 MB
- SHA256:
- 266d694daacad7794a404b3597e5d7bc4390385e90c73d74a8cacac7715b9969
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.