ELECT selects the best random seed for instruction-guided image editing by scoring background consistency from early diffusion latents, reducing inference cost by about 41 percent and turning about 40 percent of previously failed edits into successes.
Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and edit- ing
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Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
ELECT selects the best random seed for instruction-guided image editing by scoring background consistency from early diffusion latents, reducing inference cost by about 41 percent and turning about 40 percent of previously failed edits into successes.