Instructions to use cuongdev/2nguoi-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/2nguoi-2000 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-2000", 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
Commit History
-
Upload folder using huggingface_hub
Verified signaturee24aac7 -
Upload model_index.json with huggingface_hub
Verified signature39a07c1 -
Upload folder using huggingface_hub
Verified signaturee35be4e -
Upload folder using huggingface_hub
Verified signatured7bf105 -
Upload folder using huggingface_hub
Verified signature6a711bd -
Upload folder using huggingface_hub
Verified signaturebadb58e -
Upload folder using huggingface_hub
Verified signature667e9ae -
Upload folder using huggingface_hub
Verified signature582bc6d -
Upload the concept 2nguoi-2000 embeds and token
Verified signature71c0d84 -
initial commit
Verified signature3931b00