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!
Spending, or rather wasting a lot of my time on screen. I could DEFINITELY use something like this! Congrats to the team!
Just checked out your page! SICK design and animations! Definitely want to give this a try! Hope this stays free!
Aw yeah, love this stuff!
The UX is really well designed… looks sleek.
Awesome product! How are you promoting this product at the moment apart from the Product Hunt community?
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Kudos to the talented team behind MGIE for pushing the boundaries of AI and imaging technology, and I can't wait to see the continued impact of this remarkable development!
A huge round of applause for the team behind this phenomenal launch! This product is a game-changer, and I'm excited to see its impact unfold. Well done, everyone!
Wow, this is such an innovative tool! I'm really impressed with how MGIE utilizes AI and natural language instructions for image editing. I'm curious, how does it handle more complex editing tasks? For example, can it accurately handle intricate Photoshop-like edits? Keep up the great work!
A standing ovation is in order for this outstanding product launch! The attention to detail and user-centric design make it truly remarkable. Congratulations on a job well done!
MGIE sounds like a breakthrough in image editing technology! The integration of multimodal large language models allows users to make edits simply by describing them in natural language. 🖼️✨
To be honest I was going to skip the product right now! As I could not understand anything from the images clearly, Later when I checked the website, I understood the product is pure research. I think you did a fantastic job developing the Machine AI Tool, just could have made a better presentation. I am sorry, I know the presentation is good, Me being a graphic designer, my mind resists to accept it, and I believe on always writing a honest review. If you need making a presentation in future do connect with me on LinkedIn, I will make the images and give it to you, I won't be charging any fees, as its for education, and I always love to support researchers! 😇
Hope you have a great day today, Kudos! on building the tool, all the very best. 🫰😇😊
Loved reading the website! Sad I don't understand much of it though. 🥺, still work well done guys!👍
What an impressive product launch! I'm blown away by the quality and functionality. It's clear that a lot of hard work and dedication went into making this a success. Congratulations!
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.
Apple MGIE was featured in Design Tools (259.6k followers), Open Source (68.3k followers), GitHub (41.2k followers) and Apple (15.4k followers) on Product Hunt. Together, these topics include over 71.4k products, making this a competitive space to launch in.
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.
Want to see how Apple MGIE stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina