许可协议: cc 标签:

• 图像到图像 数据集:
• peter-sushko/RealEdit 管道类型: 图像到图像

REALEDIT: 将Reddit编辑作为图像变换的大规模实证数据集

项目页面: https://peter-sushko.github.io/RealEdit/
数据: https://huggingface.co/datasets/peter-sushko/RealEdit

有两种运行推理的方式：通过Diffusers或原始的InstructPix2Pix管道。

选项1：使用🧨Diffusers：

安装必要的库：

pip install torch==2.7.0 diffusers==0.33.1 transformers==4.51.3 accelerate==1.6.0 pillow==11.2.1 requests==2.32.3

然后运行：

import torch
import requests
import PIL
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler

model_id = "peter-sushko/RealEdit"
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    safety_checker=None
)
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

url = "https://raw.githubusercontent.com/AyanaBharadwaj/RealEdit/refs/heads/main/example_imgs/simba.jpg"
def download_image(url):
    image = PIL.Image.open(requests.get(url, stream=True).raw)
    image = PIL.ImageOps.exif_transpose(image)
    image = image.convert("RGB")
    return image
image = download_image(url)

prompt = "给他戴上王冠"
result = pipe(prompt, image=image, num_inference_steps=50, image_guidance_scale=2).images[0]
result.save("output.png")

选项2：通过InstructPix2Pix管道：

克隆仓库并设置目录结构：

git clone https://github.com/timothybrooks/instruct-pix2pix.git
cd instruct-pix2pix
mkdir checkpoints

将微调后的检查点下载到checkpoints目录：

cd checkpoints
# wget https://huggingface.co/peter-sushko/RealEdit/resolve/main/realedit_model.ckpt

返回仓库根目录，按照InstructPix2Pix安装指南设置环境。

编辑单张图片

python edit_cli.py \
  --input [你的图片路径] \
  --output imgs/output.jpg \
  --edit "你的编辑指令" \
  --ckpt checkpoints/realedit_model.ckpt

引用

如果你觉得这个检查点有帮助，请引用：

@misc{sushko2025realeditredditeditslargescale,
      title={REALEDIT: 将Reddit编辑作为图像变换的大规模实证数据集}, 
      author={Peter Sushko and Ayana Bharadwaj and Zhi Yang Lim and Vasily Ilin and Ben Caffee and Dongping Chen and Mohammadreza Salehi and Cheng-Yu Hsieh and Ranjay Krishna},
      year={2025},
      eprint={2502.03629},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.03629}, 
}