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MGIE by Apple logo

MGIE by Apple

Paid

Edit images with natural language instructions

4.5
New AI ToolsContact
Inputs: text, imageOutputs: image
Type
Saas
Company
Apple
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About MGIE by Apple

MGIE (MLLM-Guided Image Editing) is an open-source AI model from Apple that interprets natural language instructions to edit images. It combines multimodal large language models with vision capabilities, enabling tasks such as object manipulation, color adjustment, stylization, and composition changes. The model is designed to work with minimal example requirements and is available for research and development use.

Key Features

Natural language-based image editing
Multimodal large language model (MLLM) guidance
Open-source model available on GitHub
Handles diverse tasks: object removal, color adjustment, style transfer, composition changes
Trained on a large dataset of instruction-image pairs
State-of-the-art instruction-following performance

Pros & Cons

Pros
  • Free and open-source
  • State-of-the-art instruction-following ability
  • Developed by Apple with strong research backing
  • Handles a wide variety of editing commands naturally
Cons
  • Requires technical expertise to deploy and run locally
  • High computational requirements (GPU recommended)
  • May not always produce photorealistic results for complex edits
  • Limited to text-to-image editing; no video support

Best For

Photo retouching and enhancementGraphic design and creative image manipulationAutomated image correction based on text descriptionsResearch in multimodal AI and vision-language models

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FAQ

What does MGIE stand for?
MGIE stands for MLLM-Guided Image Editing, where MLLM is a Multimodal Large Language Model.
Is MGIE free to use?
Yes, MGIE is open-source and free. The model weights and code are publicly available on GitHub.
What kind of editing can MGIE perform?
MGIE can perform a wide range of edits including object removal, color adjustments, style transfer, resizing, adding elements, and more, all guided by natural language instructions.
Do I need a powerful computer to run MGIE?
Yes, running the model locally typically requires a GPU with sufficient VRAM due to the large model size and computational demands.