datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
character_turnaround_sheet_qwen_image_edit_2509_datasetBase images were generated by Qwen Image and I used Wan to do 360 degree rotation. I then took frames from the rotation and concatenated them together using imagemagick.
qwen_edit_acuarelincharacter_turnaround_sheet_qwen_image_edit_2509_datasetBase images were generated by Qwen Image and I used Wan to do 360 degree rotation. I then took frames from the rotation and concatenated them together using imagemagick.
qwen_edit_acuarelin2qwen_image_layered_editing_with_qwen_image_edit_magic_brushcyclop-qwen-edit-plusXiang_white_brief_qwen_edit_2509_multiple_angle
refer image
Qwen_edit_inside-datasetapply_texture_qwen_image_edit_2509_datasetAll input images were created using Qwen-Image (w/ lightning lora) and the outputs were generated using Qwen-Image-Edit-2509. No external sources were used to generate this dataset.
Xiang_Real_Anime_Background_Relight_Qwen_Edit_2511_Tuned
Relight foreground real person by self-tuned qwen edit 2511 lora, maintain consistency with the style and texture of the anime background.
qwen_edit_photo_restore_v1.0-datasetqwen_edit_baseqwen_edit_photo_restore_v1-datasetXiang_Handsome_Qwen_Edit_Outfit_Extractedqwen_image_edit_2509_woven_fabric_01-datasetrestoredit-qwen-image-editXiang_hoodies_Qwen_Image_Edit_OmniConsistency_lora_Images
Reference on
transform by: https://huggingface.co/svjack/Qwen_Image_Edit_OmniConsistency_lora
use:
"transform it into 3D Chibi style",
"transform it into American Cartoon style",
"transform it into Chinese Ink style",
"transform it into Clay Toy style",
"transform it into Fabric style",
"transform it into Ghibli style",
"transform it into Irasutoya style",
"transform it into Jojo style",
"transform it into LEGO style",
"transform it into Line style",
"transform it into Macaron style"… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Xiang_hoodies_Qwen_Image_Edit_OmniConsistency_lora_Images.Xiang_Qwen_Image_2509_Edit_Relight
refer image
esci_edits_qwen_2_5_dpo_n4qwen_image_edit_InStyle_neta_art_transfer_samples
style reference
qwen_edit_hibridqwen-image-edit-magic-brush-results
Qwen-Image-Edit MagicBrush Evaluation Results
This dataset contains evaluation results of Qwen-Image-Edit on the MagicBrush benchmark.
Columns: img_id, turn_index, instruction, source_img, generated_img, target_img, ssim, lpips, clip_score, dino_score
Single-turn Average Metrics (250 samples)
SSIM
LPIPS
CLIP
DINO
0.6443
0.4001
0.8968
0.7415
Multi-turn Average Metrics (248 samples)
SSIM
LPIPSCLIP
DINO
0.5354
0.5080
0.8541
0.6268… See the full description on the dataset page: https://huggingface.co/datasets/manharg25/qwen-image-edit-magic-brush-results.qweneditplus_alex-datasetqwen_edit_liciaxqwen_lora_edit_luciax2-datasetqweneditsun-dataset