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
- Xet hash:
- 071e48446dd5f9184b3d925fa235c7932580ef491a3370a925b40db3af57c89b
- Size of remote file:
- 681 MB
- SHA256:
- 8e026c59bb15c83e8b454606fa5040e9425855da32f0bc6bfce701398ce21674
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.