rhfeiyang/art-free-diffusion-v1

Art-Free Diffusion v1 Model Card

Art-Free Diffusion is a text-to-image model without Graphic Art Knowledge, i.e. trained on Art-Free dataset.

This model is first trained 41,400 steps at the resolution of 256, then 156,700 steps at the resolution of 512

from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("rhfeiyang/art-free-diffusion-v1").to("cuda")
images = pipe("The image depicts a picturesque small town by a river, featuring several docked boats. Surrounded by trees, the town is near a large body of water, highlighting its popularity for boating and water activities. The serene composition, with trees and boats, underscores the town's natural beauty and tranquil charm.", 
          num_inference_steps=50, guidance_scale=7.5,).images

Citation

@misc{ren2024art-free,
    title={Art-Free Generative Models: Art Creation Without Graphic Art Knowledge},
    author={Hui Ren and Joanna Materzynska and Rohit Gandikota and David Bau and Antonio Torralba},
    year={2024},
    eprint={2412.00176},
    archivePrefix={arXiv},
    primaryClass={cs.CV},
    url={https://arxiv.org/abs/2412.00176},
}