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:
- 015da0521f6c460083835871085d95021916ccd8021d72380f1c60a0fac6409d
- Size of remote file:
- 687 MB
- SHA256:
- d82b8337532412ee4b830136bcbce5609f6ea19631dbf12eaf16ac9c709ce09f
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