Instructions to use Gemneye/Hap3r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Hap3r 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/Hap3r") prompt = "Harp3r a woman holding a coffee cup, in a beanie, sitting at a cafe" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Harp3r

- Prompt
- Harp3r a woman holding a coffee cup, in a beanie, sitting at a cafe

- Prompt
- Harp3r a woman, white background, medium shot, modeling clothing, studio lighting, white backdrop
Model description
Trained with AI Toolkit
Trigger words
You should use Harp3r to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Gemneye/Hap3r
Base model
black-forest-labs/FLUX.1-dev