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Image generation

Bagel

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

Source rating 5.0 (70) 16k views 16k/mo traffic 0 saves Unknown
Multimodal AI open-source Image-understanding
More categories (11)
Text Understanding Image generation Text Generation Image editing Style transfer Navigation AI Unified Model Deep learning Large Language Models (LLM) Computer Vision Generative AI
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Verdict

A quick read before you dig into the full page.

Best if
You are aI Researchers and need: Describing and understanding images (e.g., 'Tell me about this picture')
Pick this when
Open-source unified multimodal AI for understanding, generation, editing

Overview

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 screenshot

Best for

Short scenarios where Bagel tends to shine.

  • Describing and understanding images (e.g., 'Tell me about this picture')

    Best for AI Researchers

  • Generating photorealistic images from text prompts (e.g., 'a photo of three antique glass magic potions')

    Best for Machine Learning Engineers

  • Editing images while preserving details (e.g., 'He squatted down and touched a dog's head')

    Best for Developers

  • Transforming image styles (e.g., 'Change to 3D animated style')

    Best for Content Creators

  • Navigating and interacting with virtual environments (e.g., 'After 0.40s, move forward')

    Best for Digital Artists

  • Engaging in multi-turn conversations with compositional reasoning (e.g., creating a slogan for a doll)

    Best for AI Practitioners

  • Refining prompts for detailed and coherent visual outputs using a 'thinking' mode

    Best for Academics

Example outputs 1

Sample generations and before/after results for Bagel.

Bagel screenshot
Bagel screenshot

Access & connections

Where you can use Bagel.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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)
Show 2 more
  • Pre-training initialized from large language models
  • Mixture-of-Transformer-Experts (MoT) architecture

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In the news

Launch coverage and community mentions for Bagel.

FAQ 6

What is BAGEL?
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.
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.
What is BAGEL?
BAGEL is an Apache 2.0 open-source unified multimodal model developed by ByteDance-Seed, designed for advanced image/text understanding, generation, editing, and navigation, with capabilities comparable to proprietary systems.
What are BAGEL's core capabilities?
BAGEL offers capabilities such as chat, image and text generation, image editing, style transfer, navigation, compositional reasoning, and a thinking mode to enhance outputs.
How does BAGEL compare to other models?
BAGEL offers comparable functionality to proprietary systems like GPT-4o and Gemini 2.0 and surpasses other open models on standard understanding and generation benchmarks.
When was BAGEL released?
BAGEL was released on May 20, 2025.
Bagel
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