Product Information
What is Bagel ai?
We present Bagel, an open-source multimodal foundation model with 7B active parameters (14B total), trained on large-scale interleaved multimodal data. Bagel outperforms current top open-source VLMs like Qwen2.5-VL and InternVL-2.5 on standard multimodal understanding benchmarks and delivers text-to-image quality competitive with expert generators like SD3. Additionally, Bagel shows superior qualitative results in classic image editing scenarios compared to leading open-source models. More importantly, it extends to free-form visual manipulation, multi-view synthesis, and world navigation, constituting 'world model' tasks beyond the scope of prior image editing models. The figure below showcases Bagel's qualitative performance.
How to use Bagel ai?
BAGEL AI is an open-source multimodal foundation model designed to deliver superior multimodal understanding, text-to-image generation, and advanced visual manipulation capabilities. It outperforms existing top open-source VLMs on standard multimodal understanding benchmarks and competes with powerful specialized generators in text-to-image quality.
Core Functions of Bagel ai
Text-to-Image Generation
AI writing
AI-Driven
Usage Scenarios of Bagel ai
- Classic image editing scenarios.
- Free-form visual manipulation.
- Multi-perspective compositing.
- World navigation.
Common Questions about Bagel ai
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