Instructions to use Gemneye/J3nnaO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/J3nnaO 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("Gemneye/J3nnaO") prompt = "J3nnaO, a woman, navigates a crowded marketplace wearing a worn leather jacket, cargo pants, and heavy combat boots." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
J3nnaO

- Prompt
- J3nnaO, a woman, navigates a crowded marketplace wearing a worn leather jacket, cargo pants, and heavy combat boots.
Model description
Trained with AI Toolkit
Trigger words
You should use J3nnaO to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Gemneye/J3nnaO
Base model
black-forest-labs/FLUX.1-dev