Instructions to use Jonjew/HaydenPanettiere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HaydenPanettiere 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/HaydenPanettiere") prompt = "<lora:Hayden_Panettiere_Flux:1> This is a beautiful photograph of a woman, wavy blonde hair cascading over her shoulders and striking green eyes. She is wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Hayden Panettiere

- Prompt
- <lora:Hayden_Panettiere_Flux:1> This is a beautiful photograph of a woman, wavy blonde hair cascading over her shoulders and striking green eyes. She is wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile.
Model description
FROM https://civitai.com/models/1093814/hayden-panettiere-flux
Strength 1
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/HaydenPanettiere
Base model
black-forest-labs/FLUX.1-dev