B

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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.
Open-source unified multimodal AI for understanding, generation, editing.
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bagel-ai.org/
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What is B?

Open-source unified multimodal AI for understanding, generation, editing.

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.

Core Features
Unified Multimodal Model
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Image/Text Understanding
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Image/Text Generation (photorealistic images, video frames)
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Image Editing (preserves visual identities and details)
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Style Transfer
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Navigation (in diverse environments)
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Compositional Abilities (multi-turn conversations)
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Thinking Mode (enhances generation and editing through reasoning)
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Pre-training initialized from large language models
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Mixture-of-Transformer-Experts (MoT) architecture
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Popular Use Cases
  • Describing and understanding images (e.g., 'Tell me about this picture')
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  • Generating photorealistic images from text prompts (e.g., 'a photo of three antique glass magic potions')
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  • Editing images while preserving details (e.g., 'He squatted down and touched a dog's head')
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  • Transforming image styles (e.g., 'Change to 3D animated style')
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  • Navigating and interacting with virtual environments (e.g., 'After 0.40s, move forward')
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  • Engaging in multi-turn conversations with compositional reasoning (e.g., creating a slogan for a doll)
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  • Refining prompts for detailed and coherent visual outputs using a 'thinking' mode
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Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • 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.
Pricing
B uses a freemium pricing model. Pricing and features may change over time.
Free
$0
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Pro
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Team
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Enterprise
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Source
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