Instructions to use Shero448/shikki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/shikki 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/mocase-mix-prefectponyv2-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/shikki") prompt = "score_9,score_8_up,score_7_up,detailed background,classroom," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
shikki

- Prompt
- score_9,score_8_up,score_7_up,detailed background,classroom,
- Negative Prompt
- score_4,score_5,score_6,watermark,signature,greyscale,monochrome,ugly,deformed face,mutant,censored,mosaic censoring,crowd,(simple background:1.1),(white background:1.1),(,speech bubble:1),3d,3d \(artwork\),3dcg,(bowtie:1.1),(bow:1.1),cleavage,
Trigger words
You should use shikki 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/shikki
Base model
John6666/mocase-mix-prefectponyv2-sdxl