Bagel
Open-source unified multimodal AI for understanding, generation, editing.
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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. BAGEL can be fine-tuned, distilled, and deployed anywhere, providing precise, accurate, and photorealistic outputs through its natively multimodal architecture.
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.
Go for this if you want a powerful open-source multimodal AI that handles image and text understanding, generation, and editing with high precision. It’s ideal for those who want advanced features like photorealistic outputs and style transfer, plus the freedom to fine-tune and deploy anywhere.
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