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:
- d08996a0c89f4ea62da44dc017fdd20b9d8317a1009a0b06f7fda7bab1e8fd72
- Size of remote file:
- 7.11 GB
- SHA256:
- a8bb2133a77a946f27638aafc6290e6fe3f27983d1434b74c01bc0a9be300bae
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