Instructions to use Jonjew/ValerieBertinelli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ValerieBertinelli 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/ValerieBertinelli") prompt = "a woman dressed in a dirndl with a huge bouffant hairdo getting her portrait taken <lora:valerie-bertinelli-flux:1.2>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Valerie Bertinelli

- Prompt
- a woman dressed in a dirndl with a huge bouffant hairdo getting her portrait taken <lora:valerie-bertinelli-flux:1.2>
Model description
FROM https://civitai.com/models/1094964/valerie-bertinelli-one-day-at-a-time-flux?modelVersionId=1229903
Strength 1.2
I don't even know what this show was about, I was too young, but I wanted to watch the show because of Valerie Bertinelli and Mackenzie Phillips. The theme song to the show still gives me a type of feel.
This one maybe needed to cook a bit more. I'm getting decent results at 1.2. I recommend raising the strength if you find a poor resemblance.
This model may get a V2 based on my level of satisfaction with it over time.
Enjoy!
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/ValerieBertinelli
Base model
black-forest-labs/FLUX.1-dev