Instructions to use cuongdev/chung-thu-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chung-thu-20 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/chung-thu-20", 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 unet/diffusion_pytorch_model.bin from cuongdev/chung-thu-20: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/cuongdev/chung-thu-20/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuongdev/chung-thu-20/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuongdev/chung-thu-20/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- 41f9c35e7222001404b4c8edf6e83c1674b4802c7dc064997cc6152323ae2d19
- Size of remote file:
- 3.46 GB
- SHA256:
- 8afbe1d61ab6555f854ea6ebc2d0ad84552d267393c4729479664929c05c5b59
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