MagicQuill - An AI-powered image editing tool for precise and efficient edits through simple sketching strokes.

## Definition of MagicQuill MagicQuill is an AI-powered image editing tool that allows users to make precise and efficient edits by sketching simple strokes. It leverages advanced technologies like diffusion models, text/mask-based editing, and multimodal large language models (MLLMs) to provide fine-grained control over image modifications. ## Precision in MagicQuill MagicQuill employs a dual-branch editing processor architecture, consisting of: - A **content-aware repair branch** for contextual consistency. - A **structure-guided branch** to maintain geometric accuracy. This architecture ensures high-quality edits while preserving image integrity. ## Core Technologies of MagicQuill MagicQuill integrates: - **Diffusion models** for realistic image generation. - **Text and mask-based editing** for targeted modifications. - **Multimodal large language models (MLLMs)** to predict user intent from strokes in real time. ## Target Audience of MagicQuill MagicQuill caters to: - Digital artists - Content creators - Animators It is accessible to both professionals and hobbyists due to its intuitive interface. ## Definition of MagicQuill Key features include: - **AI-powered drawing assistant**: Uses MLLMs to predict user intent. - **High-resolution support**: Edits photos, digital paintings, and animations without quality loss. - **Cross-platform compatibility**: Works on computers and iPad. - **Three brush types**: Add, subtract, and color brushes for versatile editing. ## MagicQuill's Drawing Assistant The drawing assistant analyzes user sketch strokes in real time and: 1. Predicts editing intent (e.g., object removal, recoloring). 2. Generates AI-driven suggestions to streamline the workflow. 3. Automatically fills prompts via the "Draw and Guess" feature. ## Accessing MagicQuill MagicQuill is available via: - Official demo: [https://magicquill.art/demo](https://magicquill.art/demo) - GitHub repository: [https://github.com/ant-research/MagicQuill](https://github.com/ant-research/MagicQuill) - Alternative platforms: Hugging Face Space and Modelscope demo. ## Supported Image Formats MagicQuill supports: - Photos - Digital paintings - Illustrations - Animations It preserves quality across all types during high-resolution edits. ## Open-Source Status Yes, MagicQuill is open-source under the **CC BY-NC 4.0 license**. Its GitHub repository provides setup instructions, tutorials, and technical documentation. ## Comparative Advantages MagicQuill outperforms baselines like SmartEdit and BrushNet in: - Edge alignment accuracy - Color fidelity - Interpretation of user intent User studies confirm its superior efficiency and output quality. ### Citation sources: - [MagicQuill](https://magicquill.art/demo) - Official URL Updated: 2025-04-01