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yzwang/X2I-in-context-learning

X2I Dataset Project Page: https://vectorspacelab.github.io/OmniGen/ Github: https://github.com/VectorSpaceLab/OmniGen Paper: https://arxiv.org/abs/2409.11340 Model: https://huggingface.co/Shitao/OmniGen-v1 To achieve robust multi-task processing capabilities, it is essential to train the OmniGen on large-scale and diverse datasets. However, in the field of unified image generation, a readily available dataset has yet to emerge. For this reason, we have curated a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/yzwang/X2I-in-context-learning.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Dataset Card

X2I Dataset

To achieve robust multi-task processing capabilities, it is essential to train the OmniGen on large-scale and diverse datasets. However, in the field of unified image generation, a readily available dataset has yet to emerge. For this reason, we have curated a large-scale unified image generation dataset with unified format for the first time, which we refer to as the X2I dataset, meaning "anything to image".

TaskDatastet
Multi-modal InstructionX2I-mm-instruction
Subject-driven EditingX2I-subject-driven
In-context LearningX2I-in-context-learning
Computer VisionX2I-computer-vision
Text to Image GenerationX2I-text-to-image

X2I-in-context-learning (Few-shot to Image)

  • —Derain & Enhance & GoPro

A set of image derain, enhance and deblur datasets with 859 & 485 & 2,103 samples.

python
## meta file: derain.jsonl
cd derain
tar -xzvf derain.tar.gz

## meta file: enhance.jsonl
cd enhance
tar -xzvf enhance.tar.gz

## meta file: gopro.jsonl
cd gopro
tar -xzvf gopro.tar.gz
  • —ADE

An image segementation dataset with 297,472 samples.

python
## meta file: ade.jsonl
cd ade
tar -xzvf ade.tar.gz

cat seg_imgs.tar.gz.* | tar -xzvf -