Instructions to use Shero448/kirika-illu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/kirika-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/kirika-illu") prompt = "Kirika_Misono, anime coloring <lora:Eiken-Kirika_Misono-illustrious:0.8>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
kirika-illu

- Prompt
- Kirika_Misono, anime coloring <lora:Eiken-Kirika_Misono-illustrious:0.8>
- Negative Prompt
- worst quality, manga, sketch, monochrome, noisy, cropped, bad hands, text, text bobble, haze, murkily, blurry background, clones, mutation, logo, artist signature, censored, jpeg artifacts
Trigger words
You should use Kirika Misono 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/kirika-illu
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/wai-nsfw-illustrious-v110-sdxl