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 text_encoder/pytorch_model.bin from cuongdev/test-moi: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/cuongdev/test-moi/resolve/dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cuongdev/test-moi@dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cuongdev/test-moi/resolve/dc6a3ef930e9bb6be6129beab4f1600e4e433cc7/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 801660d3b7c2454f7df0e3cff249c8298bbee5f698380210ff492aa1bafd3b5b
- Size of remote file:
- 681 MB
- SHA256:
- e80396bb4fe354bb25f23176fb9edca1f147aea1052773c3946c674e668dcf30
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