Instructions to use Jonjew/GingerLynn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/GingerLynn 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/GingerLynn") prompt = "<lora:Ginger_Lynn_Flux:1> 1girl solo, blonde, big hair, green eyes, wearing a black evening gown, holding a large cocktail in front of chest, conservative dress, in an 1980s style nightclub, sitting at the bar." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ginger Lynn

- Prompt
- <lora:Ginger_Lynn_Flux:1> 1girl solo, blonde, big hair, green eyes, wearing a black evening gown, holding a large cocktail in front of chest, conservative dress, in an 1980s style nightclub, sitting at the bar.
Model description
FROM https://civitai.com/models/679269/ginger-lynn-flux-80s-retro-adult-film-actress?modelVersionId=760327
Trigger blonde, big hair, green eyes
Strength 1
Trigger words
You should use blonde to trigger the image generation.
You should use big hair to trigger the image generation.
You should use green eyes 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/GingerLynn
Base model
black-forest-labs/FLUX.1-dev