Painting-ART-AI
Collection
5 items
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Updated
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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 Renoir
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/pierre-auguste-renoir', weight_name='pierre-auguste-renoir.safetensors')
image = pipeline('a painting of a plate of fruit on a table, with a variety of fruits and vegetables arranged in a colorful and vibrant display. The plate is filled with a mix of different types of fruits, including apples, oranges, bananas, and grapes, and the vegetables are arranged in an aesthetically pleasing way. The colors of the fruits range from bright oranges and yellows to deep reds and purples, creating a vibrant and inviting atmosphere. [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