AI image tool that lets you make edits by describing them
MGIE, which stands for MLLM-Guided Image Editing, is a model developed by Apple and the University of California, Santa Barbara, that leverages multimodal large language models (MLLMs) to enable image editing based on natural language instructions.
The MGIE model, which Apple worked on with the University of California, Santa Barbara, can crop, resize, flip, and add filters to images all through text prompts... which suggests that iOS 18 (or something thereabouts) is going to be offering a bunch of sweet on-device AI functionality!
About Apple MGIE on Product Hunt
“AI image tool that lets you make edits by describing them”
Apple MGIE launched on Product Hunt on February 8th, 2024 and earned 180 upvotes and 14 comments, placing #18 on the daily leaderboard. MGIE, which stands for MLLM-Guided Image Editing, is a model developed by Apple and the University of California, Santa Barbara, that leverages multimodal large language models (MLLMs) to enable image editing based on natural language instructions.
On the analytics side, Apple MGIE competes within Design Tools, Open Source, GitHub and Apple — topics that collectively have 384.5k followers on Product Hunt. The dashboard above tracks how Apple MGIE performed against the three products that launched closest to it on the same day.
Who hunted Apple MGIE?
Apple MGIE was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Apple MGIE including community comment highlights and product details, visit the product overview.
Chris Messina