Instructions to use cuongdev/pxhien2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien2 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/pxhien2", 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 signature493367b -
Upload model_index.json with huggingface_hub
Verified signaturecd2044f -
Upload folder using huggingface_hub
Verified signature60ac0d3 -
Upload folder using huggingface_hub
Verified signature8f1a329 -
Upload folder using huggingface_hub
Verified signaturea8e3ae9 -
Upload folder using huggingface_hub
Verified signatureb0443b5 -
Upload folder using huggingface_hub
Verified signature00bde71 -
Upload folder using huggingface_hub
Verified signature24d4a2f -
Upload the concept pxhien2 embeds and token
Verified signature29d83d8 -
initial commit
Verified signature9672f9a