Instructions to use Jonjew/LisaEdelstein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LisaEdelstein 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/LisaEdelstein") prompt = "<lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a woman, short, light brown hair styled in a neat, slightly tousled fashion. 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
|
Download README.md from Jonjew/LisaEdelstein: direct link, hf CLI and curl.
- Browser
- Download file 771 Bytes
-
https://huggingface.co/Jonjew/LisaEdelstein/resolve/main/README.md
- Command line
-
hf download hf://Jonjew/LisaEdelstein/README.md
-
curl -L -o README.md https://huggingface.co/Jonjew/LisaEdelstein/resolve/main/README.md
771 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
<lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a
woman, short, light brown hair styled in a neat, slightly tousled fashion.
She is wearing a boatneck dress. Standing in a cafe. Looking at the
viewer. Smile.
output:
url: images/00001-3623561003.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: unknown
Lisa Edelstein

- Prompt
- <lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a woman, short, light brown hair styled in a neat, slightly tousled fashion. She is wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile.
Model description
FROM https://civitai.com/models/1094392/lisa-edelstein-flux
Strength 1
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.