Instructions to use cuongdev/pxhienneew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhienneew 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/pxhienneew", 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 signature953a1cf -
Upload model_index.json with huggingface_hub
Verified signature1409925 -
Upload folder using huggingface_hub
Verified signature2128812 -
Upload folder using huggingface_hub
Verified signature35cbed8 -
Upload folder using huggingface_hub
Verified signature99dde7e -
Upload folder using huggingface_hub
Verified signature510fd1b -
Upload folder using huggingface_hub
Verified signatured1a15d2 -
Upload folder using huggingface_hub
Verified signatureaf08a7d -
Upload the concept pxhienneew embeds and token
Verified signature5afc425 -
initial commit
Verified signatureaa5c2f7