pretty_name: ㅇㄹ
dataset_info:
features:
- name: input_image
dtype: image
- name: edited_image
dtype: image
- name: edit_prompt
dtype: string
- name: input_caption
dtype: string
- name: edited_prompt
dtype: string
- name: new_edited_image
dtype: image
splits:
- name: train
num_bytes: 1239264513
num_examples: 1000
download_size: 1239217373
dataset_size: 1239264513
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Description
This dataset is an enhanced version of the original dataset provided by https://huggingface.co/fusing. The original dataset, https://huggingface.co/datasets/fusing/instructpix2pix-1000-samples, consisted of input images and edit prompts designed to generate edited images.
In this custom dataset, we have added additional fields and data transformations to facilitate advanced image editing tasks. Specifically, the dataset now includes:
- input_caption: Captions generated using a vision-language model (VLM) from the input images.
- edited_prompt: Prompts generated using a large language model (LLM) by combining the input captions with the original edit prompts.
- new_edited_image: Images generated using a ControlNet img2img model by applying the edited prompts to the input images.
The transformations provide a robust framework for tasks such as image captioning, prompt-based image editing, and comparing different image editing models.
Changes Made
- Added input_caption field generated with a vision-language model (VLM).
- Added edited_prompt generated from a large language model (LLM) using the input_caption and edit_prompt.
- Added new_edited_image generated from a ControlNet img2img model using the input_image and edited_prompt.
Attribution
This dataset is based on the original dataset provided by https://huggingface.co/fusing. The original dataset can be found at https://huggingface.co/datasets/fusing/instructpix2pix-1000-samples.