painterly
danbooru-painterly-style-imageStylized-Painterly-Textures-v1.1This is a dataset consisting of 19 images for finetuning image models to generate textures in a black and white, painterly style that can be used in 3D.
v1.1 improvements:
- All the images are now completely seamless/tileable
- Better rock texture
- Better metal grate texture
Example images from this dataset:
How this dataset was created:
I generated images using un-finetuned Qwen Image using the below prompt, cherry picking only the best results until I had 10 imagesFinetuned Qwen… See the full description on the dataset page: https://huggingface.co/datasets/Hyperccino/Stylized-Painterly-Textures-v1.1.Stylized-Painterly-Textures-v1.0This is a dataset consisting of 19 images for finetuning image models to generate textures in a black and white, painterly style that can be used in 3D.
Example images from this dataset:
How this dataset was created:
I generated images using un-finetuned Qwen Image using the below prompt, cherry picking only the best results until I had 10 images
Finetuned Qwen Image on those 10 images
Used that finetune to re-generate better versions of the least good of the original 10 images +… See the full description on the dataset page: https://huggingface.co/datasets/Hyperccino/Stylized-Painterly-Textures-v1.0.openart-painterly-foundations
OpenArt — Painterly Foundations
openart-painterly-foundations is the painterly foundations subject collection of the OpenArt family
of open, public-domain art datasets: 13,786 works (9,107 paintings/illustrations · 4,596
photographed objects · 83 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
The painting-forward core of OpenArt — the 2-D fine-art techniques that anchor the openbrush brand: drawing, etching, oil… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-painterly-foundations.collection-artists-painterly-classicalSmall collection of classical artists with a painterly/impressionist style
.txt caption pairs generated with wd14_v3_eva02_large