TIE: Revolutionizing Text-based Image Editing for Complex-Prompt
Following and High-Fidelity Editing
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt
Following and High-Fidelity Editing
As the field of image generation rapidly advances, traditional diffusion models and those integrated with multimodal large language models (LLMs) still encounter limitations in interpreting complex prompts and preserving image consistency pre and post-editing. To tackle these challenges, we present an innovative image editing framework that employs the robust Chain-of-Thought …