Instructions to use Shero448/erza-illu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/erza-illu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/wai-nsfw-illustrious-v110-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/erza-illu") prompt = "masterpiece, best quality, amazing quality, absurdres," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
erza-illu

- Prompt
- masterpiece, best quality, amazing quality, absurdres,
- Negative Prompt
- bad quality,worst quality,worst detail,sketch,censored, artist name, signature, watermark
Trigger words
You should use Erza_Scarlet to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Shero448/erza-illu
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/wai-nsfw-illustrious-v110-sdxl