Instructions to use cuongdev/4nguoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/4nguoi 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/4nguoi", 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 model_index.json with huggingface_hub
Verified signature4f3d7a9 -
Upload folder using huggingface_hub
Verified signaturecb61cab -
Upload folder using huggingface_hub
Verified signature45a0f91 -
Upload folder using huggingface_hub
Verified signature48634f3 -
Upload folder using huggingface_hub
Verified signaturec5a1072 -
Upload folder using huggingface_hub
Verified signaturee677950 -
Upload folder using huggingface_hub
Verified signature793de48 -
Upload the concept 4nguoi embeds and token
Verified signaturee13e231 -
initial commit
Verified signature18cf993