BAGEL by ByteDance-Seed is an Apache 2.0 open-source unified multimodal model for advanced image/text understanding, generation, editing, and navigation, with capabilities comparable to proprietary systems.
ByteDance-Seed has released BAGEL, an open-source model that handles both images and text. It's built to understand and create content using both, offering an open option compared to some of the well-known proprietary systems.
With BAGEL, you can chat using images and text, generate realistic images, edit pictures while keeping important details, transfer styles, and navigate environments based on what it learned from video. It also has a "thinking" mode which aims to improve outputs by first processing the prompt in more detail.
BAGEL uses a Mixture-of-Transformer-Experts (MoT) architecture and was trained on a lot of mixed image, text, and video data. It's open-source under the Apache 2.0 license, so you can fine-tune it and use it in your own projects.
BAGEL performs well on standard tests for understanding and generating multimodal content. They also mention its image generation quality is comparable to some dedicated image models, and it can handle more advanced tasks like free-form image changes and world navigation.
Congratulations on your lunch. Bagel will be a great multimodal AI, will sure try it out.
Kudos to the Bagel team on this impressive launch! An open-source model handling both images and text with such versatility is a significant contribution to the AI community. Excited to see how developers leverage this for innovative applications.
Wow, BAGEL sounds like an exciting leap for multimodal AI! I'm particularly impressed by the ability to edit images while retaining key details and the "thinking" mode for improved outputs. Making it open-source is a brilliant move can't wait to see how the community will use this! 🌟
