Instructions to use Jonjew/JaimePressly90s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JaimePressly90s 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/JaimePressly90s") prompt = "<lora:Jaime_Pressly_Flux:1.1> This is a beautiful photograph of a woman, straight blonde hair that falls past her shoulders. She is wearing a boatneck dress. Standing in a cafe hand on hip. Looking at the viewer. Smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Jaime Pressly 90s

- Prompt
- <lora:Jaime_Pressly_Flux:1.1> This is a beautiful photograph of a woman, straight blonde hair that falls past her shoulders. She is wearing a boatneck dress. Standing in a cafe hand on hip. Looking at the viewer. Smile.
Model description
FROM https://civitai.com/models/1105723/jaime-pressly-90s-early-2000s-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/JaimePressly90s
Base model
black-forest-labs/FLUX.1-dev