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
- Xet hash:
- 783eb0b4e932a16280c115a9769f86844e14ab8cacb18c753eb353a48eecacca
- Size of remote file:
- 681 MB
- SHA256:
- 9c0fe17e66cde9b49cea36147cafd49e777284915ced2dbb04ceaac99b523b75
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.