BAGEL: Open-Source Unified Multimodal AI for Understanding, Generation, and Editing

[baoshi.rao]

Introduction

BAGEL by ByteDance-Seed is an Apache 2.0 open-source unified multimodal model designed for advanced image/text understanding, generation, editing, and navigation. It offers capabilities comparable to proprietary systems like GPT-4o and Gemini 2.0. Visit BAGEL's website to learn more.

What is BAGEL?

BAGEL is an open-source unified multimodal model that can be fine-tuned, distilled, and deployed anywhere. It provides precise, accurate, and photorealistic outputs through its natively multimodal architecture.

How to Use BAGEL

BAGEL can be used through its unified multimodal interface, accepting both image and text inputs and outputs in a mixed format. Users can engage in multi-turn conversations, generate high-fidelity images and video frames, perform image editing, apply style transfers, navigate virtual environments, and leverage its compositional and thinking modes by providing prompts and interacting with the model.

Core Features

• Unified Multimodal Model: Combines image and text understanding and generation.
• Image/Text Understanding: Advanced comprehension of both media types.
• Image/Text Generation: Produces photorealistic images and video frames.
• Image Editing: Preserves visual identities and details.
• Style Transfer: Transforms image styles effortlessly.
• Navigation: Operates in diverse environments.
• Compositional Abilities: Engages in multi-turn conversations.
• Thinking Mode: Enhances generation and editing through reasoning.

Use Cases

1. Describing and understanding images (e.g., 'Tell me about this picture').
2. Generating photorealistic images from text prompts (e.g., 'a photo of three antique glass magic potions').
3. Editing images while preserving details (e.g., 'He squatted down and touched a dog's head').
4. Transforming image styles (e.g., 'Change to 3D animated style').
5. Navigating and interacting with virtual environments (e.g., 'After 0.40s, move forward').

FAQ

• What is BAGEL? An open-source unified multimodal AI model.
• What are BAGEL's core capabilities? Image/text understanding, generation, editing, and navigation.
• How does BAGEL compare to other models? It rivals proprietary systems like GPT-4o and Gemini 2.0.

Company

BAGEL is developed by ByteDance. Visit BAGEL's GitHub for more details.

Analytics

• Monthly Visits: 98.2K
• Avg. Visit Duration: 00:00:27
• Top Regions: United States (14.71%), Vietnam (4.51%), Italy (3.93%)

Social Listening

BAGEL has been featured in various AI news platforms, highlighting its capabilities and potential. Check out the latest updates on YouTube and other social media channels.