Instructions to use cuongdev/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/lora 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/test_hntAnh", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cuongdev/lora") 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
Download image_2.png from cuongdev/lora: direct link, hf CLI and curl.
- Browser
- Download file 432 kB
-
https://huggingface.co/cuongdev/lora/resolve/main/image_2.png
- Command line
-
hf download hf://cuongdev/lora/image_2.png
-
curl -L -o image_2.png https://huggingface.co/cuongdev/lora/resolve/main/image_2.png
432 kB
