ByteDance Unveils Bagel Open Source Multimodal AI Model With Support for Generating Editing Images

ByteDance has just released “Bagel,” an open-source AI making the competition seem boring by comparison. Surely it is not just your run-of-the-mill image-tweaking free-for-all bag; Bagel, as a Visual Language Model (VLM), can grasp the concept of images, conjure up new ones, and edit and alter visuals with new grace. Think Photoshop superpowers, but unleashed by AI for anyone to down from GitHub and Hugging Face. According to ByteDance, nothing of sorts is impossible with Bagel, and that includes outrageous image manipulations interfered with by an amalgamation of viewpoints and simulation of navigation inside a visual world. Forget regular filters Bagel is all about the new age of open-source image pixie dust.

ByteDance’s Bagel Outperforms Gemini-2-exp in Image Editing

Now, with the fresh GitHub page, ByteDance’s Bagel AI is more accessible than ever. The listing spills the beans on the model’s weights and datasets, giving an insider’s peek. What’s left out of the recipe are details regarding post-training operations and the architecture. But… Bagel is Apache 2.0 licensed, sealing the deal for researchers and commercial entities to do whatever they want.

Think of an AI that “sees” and “reads” like you do. Bagel is set to empower this concept with its sheer magnitude of 14 billion parameters. But here’s a twist: only about half of these work at a given instant, keeping it lightweight and efficient. Instead of ingesting textorimages separately at any instance, Bagel consumes an endless flow of both, learning to link what it sees with what it reads. Thus, it is analogous to learning a language with the assistance of an image dictionary, grasping knowledge in a much more intuitive manner compared to the standard artificial intelligence. ByteDance took off with Bagel and trained it on a huge interdisciplinary corpus of text and images, cementing the bond between visual understanding and language comprehension.

Imagine a foundation model suddenly fluent in the language of images! By combining visuals and captions, Bagel manages to get a deeper insight and easily correlates text into the visual world. What follows is crisper, more insightful outputs with utmost efficiency.

Bagel of ByteDance, not being an ordinary AI, is a digital sculptor. Simple filters are for…something else: Bagel does a remake of the images. Want the essence of a deep sorrow cast upon that sunset? Shall be done! Hire the Bagel to eliminate from the holiday picture an ex that just won’t go away! Shall we give it the Van Gogh treatment? Bagel never disappoints. According to ByteDance, this creative powerhouse is one that does not simply meddle with a few pixels but rather understands context in order to permit some sort of unprecedented world-modeling and an incredible boon to creativity.

Imagine an AI endowed with a visual world-model, or a simulated reality baked into an internal code. This is not recognition of objects; it is an intuitive grasp of Sciences of interaction: digital gravity, wind resistance, sunlight glinting off surfaces. The internal physics engine provides a willing rendering of this universe from the view of the AI.

Set the gauntlet down by ByteDance, positing that Bagel Woman trumps image understanding with its Qwen2.5-VL-7B in respect of internal tests. That is not all. It flexes creative powers to knock out Janus-Pro-7B and Flux-1-dev in image generation tests. And for the last strike, it is claimed Bagel has given Gemini-2-exp the institution tour on ImageEdit-Bench.

Want to test-drive ByteDance’s new AI but without facing the hassle of local installation? Then Hugging Face is your go-to place. ByteDance has set up a cloud playground so that its image analysis, generation, and editing capabilities can be experimented with right inside your browser.

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