BAGEL AI | Advanced Text-to-Image & Visual Chat

Multimodal understanding and generation with open-source AI.

    **Who it's for:** creators who want this pipeline in ComfyUI without assembling nodes from scratch. **Not for:** one-click results with zero tuning — you still choose inputs, prompts, and settings.

    ### Open preloaded workflow on RunComfy
    [Open preloaded workflow on RunComfy (browser)](

    **Why RunComfy first**
    - **Fewer missing-node surprises** — run the graph in a managed environment before you mirror it locally.
    - **Quick GPU tryout** — useful if your local VRAM or install time is the bottleneck.
    - **Matches the published JSON** — the zip follows the same runnable workflow you can open on RunComfy.

    **When downloading for local ComfyUI makes sense** — you want full control over models on disk, batch scripting, or offline runs.

    **How to use (local ComfyUI)**
    1. Load inputs (images/video/audio) in the marked loader nodes.
    2. Set prompts, resolution, and seeds; start with a short test run.
    3. Export from the Save / Write nodes shown in the graph.

    **Expectations** — First run may pull **large weights**; cloud runs may require a **free RunComfy account**.

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    ### Overview
    BAGEL AI is an open-source multimodal foundation model featuring 7B active parameters (14B total) and a Mixture-of-Transformer-Experts (MoT) design. Built for multimodal tasks like text-to-image generation, image editing, and visual question answering, BAGEL AI outperforms top-tier open VLMs such as Qwen2.5-VL and InternVL-2.5 in benchmark tests. It also provides high-quality generative capabilities on par with specialist models like SD3.

With support for natural language prompting, complex reasoning, and optional transparency into the model's decision-making process, BAGEL AI offers an all-in-one solution for advanced multimodal workflows in ComfyUI.

    ### Notes
    **BAGEL AI | Advanced Text-to-Image & Visual Chat** — see [RunComfy page]( for the latest node requirements.