Instructions to use cuongdev/pxhien with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien 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", 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 safety_checker_config.json
Verified signature353f8f1 -
Upload 2 files
Verified signature361607e -
Upload model.safetensors
Verified signatureb463cbf
-
Upload folder using huggingface_hub
Verified signature1884c17 -
Upload model_index.json with huggingface_hub
Verified signature60aecde -
Upload folder using huggingface_hub
Verified signature63ec1c8 -
Upload folder using huggingface_hub
Verified signature2934a22 -
Upload folder using huggingface_hub
Verified signature02adad3 -
Upload folder using huggingface_hub
Verified signaturee8ebe8e -
Upload folder using huggingface_hub
Verified signature0dbe3a0 -
Upload folder using huggingface_hub
Verified signature1b13ca8 -
Upload the concept pxhien embeds and token
Verified signature0472076 -
initial commit
Verified signaturebf3a74f