Instructions to use HakuriTada/Kobinbin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HakuriTada/Kobinbin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HakuriTada/Kobinbin") prompt = "1girl, kita ikuyo, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Kobinbin

- Prompt
- 1girl, kita ikuyo,
- Negative Prompt
- bad quality, worst quality, bad anatomy, bad arm, bad fingers, bad feet, film grain, spots, ((mosaic censoring, bar censor, heart censor)), japanese text,
Trigger words
You should use kobinbin to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for HakuriTada/Kobinbin
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0