Bagel

Core features

• ✦Unified Multimodal Model
• ✦Image/Text Understanding
• ✦Image/Text Generation (photorealistic images, video frames)
• ✦Image Editing (preserves visual identities and details)
• ✦Style Transfer
• ✦Navigation (in diverse environments)
• ✦Compositional Abilities (multi-turn conversations)
• ✦Thinking Mode (enhances generation and editing through reasoning)
• ✦Pre-training initialized from large language models
• ✦Mixture-of-Transformer-Experts (MoT) architecture

Use cases

• →Describing and understanding images (e.g., 'Tell me about this picture')
• →Generating photorealistic images from text prompts (e.g., 'a photo of three antique glass magic potions')
• →Editing images while preserving details (e.g., 'He squatted down and touched a dog's head')
• →Transforming image styles (e.g., 'Change to 3D animated style')
• →Navigating and interacting with virtual environments (e.g., 'After 0.40s, move forward')
• →Engaging in multi-turn conversations with compositional reasoning (e.g., creating a slogan for a doll)
• →Refining prompts for detailed and coherent visual outputs using a 'thinking' mode

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