Instructions to use alarazin/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alarazin/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-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alarazin/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 2bd10d2c15cac94eb9a4e1777bc946686443f0648be7f5fbde3a625137835d8c
- Size of remote file:
- 1.73 MB
- SHA256:
- 688fc0cb3dbec213db9f561401c794cef1b9d0b98d3148dd5b1981f05d11ec40
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