Instructions to use cuongdev/sieusieu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/sieusieu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/sieusieu", 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 cuongdev/sieusieu: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/cuongdev/sieusieu/resolve/dd4220164f2f75e79cacf2b9ad1eeff0c8a44c94/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cuongdev/sieusieu@dd4220164f2f75e79cacf2b9ad1eeff0c8a44c94/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cuongdev/sieusieu/resolve/dd4220164f2f75e79cacf2b9ad1eeff0c8a44c94/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 4dab76acc831451f111ec46e40234cc0f128446403d872466f9f27f2db44e34f
- Size of remote file:
- 681 MB
- SHA256:
- c9a44f1d53cc5573cb7f6ae50b992ce5efdc5b45836fea8392e3750cbab317e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.