Instructions to use tuwonga/takeON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/takeON with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/takeON", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from tuwonga/takeON: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/tuwonga/takeON/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://tuwonga/takeON@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tuwonga/takeON/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- ff1621fc80b684955f99e007020bbb832ec97fd7f3af6cd4ab303deb21eae8fa
- Size of remote file:
- 492 MB
- SHA256:
- f21c25a6e6d424bb88214827d8e619f605f340fb2d59f55594a375a0dfbb2332
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