Instructions to use cuongdev/pxhien-n2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-n2 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/pxhien-n2", 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
-
Delete pxhien-new.ckpt
Verified signature7eb8048 -
Upload pxhien-n.ckpt
Verified signaturebfa198d
-
Upload folder using huggingface_hub
Verified signature352d5dd -
Upload model_index.json with huggingface_hub
Verified signatureb3468e4 -
Upload folder using huggingface_hub
Verified signature885b272 -
Upload folder using huggingface_hub
Verified signatureb17f330 -
Upload folder using huggingface_hub
Verified signaturebe101d1 -
Upload folder using huggingface_hub
Verified signaturef097871 -
Upload folder using huggingface_hub
Verified signature4d1c73e -
Upload folder using huggingface_hub
Verified signaturec79f940 -
Upload the concept pxhien-n2 embeds and token
Verified signatured58a200 -
initial commit
Verified signature0037001