Instructions to use ManyWayne/NEX-REL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/NEX-REL 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/NEX-REL") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/NEX-REL.png | |
| text: '-' | |
| base_model: ByteDance/SDXL-Lightning | |
| instance_prompt: null | |
| license: bigcode-openrail-m | |
| # NEX-REL | |
| <Gallery /> | |
| ## Download model | |
| [Download](/ManyWayne/NEX-REL/tree/main) them in the Files & versions tab. | |