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:
- fe2b113d50a61fa45ffdd8a2a38b0a467923b87fb442b1053283e71d7e1ba952
- Size of remote file:
- 172 MB
- SHA256:
- a6ff78d1c94428e4e3334b12b2db63de93f5211eb38c269adb90c27569c479e8
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