Instructions to use cuongdev/3nguoi-quantorng-last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/3nguoi-quantorng-last 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/3nguoi-quantorng-last", 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/3nguoi-quantorng-last: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/cuongdev/3nguoi-quantorng-last/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuongdev/3nguoi-quantorng-last/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuongdev/3nguoi-quantorng-last/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- b5fe90887d43f2b508b9156672dbf3f0bf5dbd2d541a70881193bc3fd1a840d8
- Size of remote file:
- 3.46 GB
- SHA256:
- ebb9d9ca082e0dc303e784615b8634c9dc45f56131d1e73dc87032e30af5518d
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