Instructions to use cuongdev/test-moi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-moi 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/test-moi", 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 vae/diffusion_pytorch_model.bin from cuongdev/test-moi: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/cuongdev/test-moi/resolve/dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuongdev/test-moi@dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuongdev/test-moi/resolve/dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- c7eaaa9b0727a28144b562b04e986f56e858cf77df1007d423410a991f530661
- Size of remote file:
- 335 MB
- SHA256:
- 9d3af2790f491ba035286a801bf72f7e59c8dd35d05de4563587cbcb0290982f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.