Instructions to use ManyWayne/SDXL-X-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/SDXL-X-L with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ManyWayne/SDXL-X-L") prompt = "prew" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 7
Model tree for ManyWayne/SDXL-X-L
Base model
ByteDance/SDXL-Lightning