Instructions to use cuongdev/2nguoi-4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/2nguoi-4000 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/2nguoi-4000", 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/2nguoi-4000: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/cuongdev/2nguoi-4000/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuongdev/2nguoi-4000/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuongdev/2nguoi-4000/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- 0b75ed1f257bb822ee634b86b33bd51f9b811586290d2bd86ec7d8293fc53c2b
- Size of remote file:
- 3.46 GB
- SHA256:
- c771d717bc77bbdde4d83444b715e673067b0978952505fbc4718ca450578b78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.