Instructions to use AndrzejDD/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndrzejDD/lora-trained-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AndrzejDD/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 0097c87c355af7036e65047f2c8c7bfcc77744b06a7fbfd8b6c9db4392afafcc
- Size of remote file:
- 1.41 MB
- SHA256:
- 0336e84556d4ee6e9e86a7fe9ed7d16e93aeb01ad35c26d0e17314083b985822
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.