Instructions to use Tonis110/elosxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tonis110/elosxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-RealismLora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tonis110/elosxl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5b6f8d58535252b99550702cb1d1c7378e22a48b0d7794a19da64c284f03ffdc
- Size of remote file:
- 6.94 GB
- SHA256:
- 500f05886ac2d8b25d6cce3426417797b20d2d209357f8821c5c0c2755bf629d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.