A Low-Rank Adapter (LoRA) for FLUX-family models...
Trained by us to approximate the unique singular ethereal aesthetics of a uniquely compelling Bay Area-based contemporary artist: Jacqueline Trosclair aka "Jax" aka "Starlic Jorca" and many further names besides.
This version (Variant 3) is the product of our third training over the same dataset as Variants 1 & 2, but at a higher rank, and using the Abliterated (V.2) (de-censored) version of Flux Dev base.

Prompt using:

JAX style art, illustration, ink on paper, stylized distinctive figurative artwork featuring ... or JAX style art, oil paint on canvas, stylized distinctive painting featuring ... , etc...

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/JaxStyleArt_Var3_FluxLora_BySilverAgePoets', weight_name='JaxStyle3_000003750.safetensors')
image = pipeline('JAX style art, illustration, ink on paper, stylized distinctive figurative artwork featuring  ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers