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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: control_images |
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list: image |
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- name: control_mask |
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dtype: image |
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- name: target_image |
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dtype: image |
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- name: prompt |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 8458819 |
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num_examples: 20 |
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- name: test |
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num_bytes: 2807087 |
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num_examples: 2 |
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download_size: 11241583 |
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dataset_size: 11265906 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- image-to-image |
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language: |
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- en |
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tags: |
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- face_seg |
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pretty_name: tsien |
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size_categories: |
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- n<1K |
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--- |
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This is the dataset used for FluxKontext or Qwen-Image-Edit training with the task image-text2image. |
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This is a good adtaset that can very fine the effect of finetuning, where the base model is not good at |
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Refer this for the lora finetune model [**qwen-image-edit-lora-face-segmentation**](https://huggingface.co/TsienDragon/qwen-image-edit-lora-face-segmentation) |
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Usage of the dataset |
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``` |
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dd = load_editing_dataset("TsienDragon/face_segmentation_20") |
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sample = dd["test"][0] |
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``` |
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Example of the data structure |
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```bash |
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DATASET_ROOT/train |
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├── control_images |
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│ ├── 060002_4_028450_FEMALE_30.png |
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│ ├── 060002_4_028450_FEMALE_30_1.png |
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│ ├── 060002_4_028450_FEMALE_30_2.jpg |
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│ ├── 060002_4_028450_FEMALE_30_mask.png |
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│ ├── 060003_4_028451_FEMALE_65.png |
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│ ├── 060003_4_028451_FEMALE_65_1.png |
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│ └── 060003_4_028451_FEMALE_65_mask.png |
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└── training_images |
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├── 060002_4_028450_FEMALE_30.txt |
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├── 060002_4_028450_FEMALE_30.png |
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├── 060003_4_028451_FEMALE_65.txt |
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└── 060003_4_028451_FEMALE_65.png |
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``` |
