Editing
game-editingtext-editing-zaebuc-nopnximged_rl_grpo_no_reasoning_ckpt_11600_sftnocomplex_rlnocomplex100K__kl3e_4__lr3e_6_SNOWimged_rl_grpo_no_reasoning_ckpt_11600_sftnocomplex_rlcomplex__kl3e_4__lr1e_6__100K_SNOWtext-editing-codatext-editing-qalb14-nopnxEmu3-Base-SFT-reasoning_super_concise-Apr17_lr1e-5-checkpoint-32000imged_rl_grpo_g_all_omni100k
Datasets
All datasets matching “Editing”Total_Editing_Synthetic_Video_Albedo_Fullramanv-image-editing-syntheticmulti_reference_image_editing
Multi-Reference Instruction-Based Image Editing Dataset
Overview
This dataset contains 20,000 high-resolution image pairs and multi-modal instructions designed for training advanced image-to-image editing models. It combines two complementary example types: 10,000 reference-grounded edits, where structural or stylistic changes are driven by up to three provided visual reference images, and 10,000 occlusion-based inpainting/outpainting edits, where the model must… See the full description on the dataset page: https://huggingface.co/datasets/molbal/multi_reference_image_editing.ramanv-image-editing-pairsidentity_preservation_image_editing
Identity Preservation Augmentation Dataset for Image Editing
Overview
This dataset contains algorithmically generated image pairs designed to
teach diffusion-based image editing models pixel-level identity
preservation — the ability to keep unchanged regions of an image exactly
intact while applying targeted edits.
Every example consists of a reference image, a target image, and a short
natural-language prompt. The transformation between reference and target is… See the full description on the dataset page: https://huggingface.co/datasets/molbal/identity_preservation_image_editing.Model_Editing_Hurt
