How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("alexnasa/SEESR", dtype=torch.bfloat16, device_map="cuda")

prompt = "Turn this cat into a dog"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")

image = pipe(image=input_image, prompt=prompt).images[0]
@misc{wu2024seesrsemanticsawarerealworldimage,
      title={SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution}, 
      author={Rongyuan Wu and Tao Yang and Lingchen Sun and Zhengqiang Zhang and Shuai Li and Lei Zhang},
      year={2024},
      eprint={2311.16518},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2311.16518}, 
}
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