Instructions to use Shero448/vicineko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/vicineko 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/prefect-illustrious-xl-v15-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/vicineko") prompt = "<lora:vicinekosty3:1>,3d,vicinekosty," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
vicineko

- Prompt
- <lora:vicinekosty3:1>,3d,vicinekosty,
Trigger words
You should use vicinekosty to trigger the image generation.
You should use 3d to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Shero448/vicineko
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/prefect-illustrious-xl-v15-sdxl