---
library_name: diffusers
datasets:
- rhfeiyang/Art-Free-SAM
tags:
- Art-Free
---

# Art-Free Diffusion v1 Model Card

<!-- Provide a quick summary of what the model is/does. -->
Art-Free Diffusion is a text-to-image model without Graphic Art Knowledge, i.e. trained on [Art-Free dataset](https://huggingface.co/datasets/rhfeiyang/Art-Free-SAM).

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

```bibtex
@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},
}
```