Flux Impressionism LoRA v1

This is a LoRA fine-tuning of the FLUX.1 model trained on a curated dataset of impressionist paintings from WikiArt.

Dataset

The model was trained on the WikiArt Impressionism Curated Dataset, which contains 1,000 high-quality Impressionist paintings with the following distribution:

Landscapes: 300 images (30%)
Portraits: 300 images (30%)
Urban Scenes: 200 images (20%)
Still Life: 200 images (20%)

Model Details

Base Model: FLUX.1
LoRA Rank: 16
Training Steps: 2000
Resolution: 512-1024px

Usage

from diffusers import StableDiffusionPipeline
import torch

model_id = "black-forest-labs/FLUX.1-dev"
lora_model_path = "dolphinium/flux_1_dev_wikiart_impressionism"

pipe = StableDiffusionPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16
).to("cuda")

# Load LoRA weights
pipe.unet.load_attn_procs(lora_model_path)

# Generate image
prompt = "an impressionist style landscape with rolling hills and autumn trees"
image = pipe(prompt).images[0]
image.save("impressionist_landscape.png")

License

This model inherits the license of the base FLUX.1 model and the WikiArt dataset.