Instructions to use Jonjew/HyapatiaLee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HyapatiaLee with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/HyapatiaLee") prompt = "<lora:Hyapatia_Lee:0.9> hyapatia lee, full body a woman, black hair. she wears a black turtleneck. closeup face protrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Hyapatia Lee

- Prompt
- <lora:Hyapatia_Lee:0.9> hyapatia lee, full body a woman, black hair. she wears a black turtleneck. closeup face protrait
Model description
FROM https://civitai.com/models/1312285/hyapatia-lee-flux1d?modelVersionId=1481123
Trigger hyapatia lee, 1girl, black hair
Strength 0.9
Trigger words
You should use hyapatia lee to trigger the image generation.
You should use 1girl to trigger the image generation.
You should use black hair 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 Jonjew/HyapatiaLee
Base model
black-forest-labs/FLUX.1-dev