Datasets:
metadata
dataset_info:
features:
- name: id
dtype: string
- name: control_images
list: image
- name: control_mask
dtype: image
- name: target_image
dtype: image
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 105550701
num_examples: 35
- name: test
num_bytes: 6884231
num_examples: 12
download_size: 107056437
dataset_size: 112434932
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: apache-2.0
task_categories:
- image-to-image
language:
- en
pretty_name: char-compos
tags:
- image
- images-compose
size_categories:
- n<1K
- Training code: https://github.com/tsiendragon/qwen-image-finetune
- mask is used for add different weights to latent
- model generated results:
