Instructions to use Jonjew/HelenSlater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HelenSlater 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/HelenSlater") prompt = "<lora:h3lenslat3rv-1:1.4>,The image is a close-up portrait of a young woman with blonde hair that is blowing in the wind. She is wearing a blue and red superhero costume with a red cape. The woman is looking directly at the camera with a serious expression on her face. The background is a clear blue sky. The image appears to be a 3D rendering, giving it a realistic and dynamic feel." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
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