Instructions to use vorstcavry/Edith-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vorstcavry/Edith-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vorstcavry/Edith-lora") prompt = "Edith, smiley face, looking at viewer, white background " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Edith

- Prompt
- Edith, smiley face, looking at viewer, white background
- Negative Prompt
- Bad anatomy,bad quality
Model description
Character from MLBB
Trigger words
You should use Edith to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 5
Model tree for vorstcavry/Edith-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
Linaqruf/animagine-xl-2.0 Finetuned
cagliostrolab/animagine-xl-3.0 Finetuned
cagliostrolab/animagine-xl-3.1