Painting-ART-AI
Collection
5 items
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Updated
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16
I developed a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. This LoRA fine-tuning process leveraged the exceptional quality of open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements.
You should use Cezanne
to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/paul-cezanne', weight_name='paul-cezanne.safetensors')
image = pipeline('a painting of a vase filled with flowers and fruits on a table, with a chair in the background. The vase is filled with a variety of colorful flowers, including roses, daisies, and lilies, and the fruits are arranged in a pleasing composition. The table is a light wood color and the chair is a dark wood, providing a contrast to the vibrant colors of the flowers and fruit. [trigger]').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Base model
black-forest-labs/FLUX.1-dev