ComfyUI Phantom | Subject to Video

Reference-driven video generation using Wan2.1 14B

    **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
    ComfyUI Phantom is a unified video generation framework for single and multi-subject references, built on existing text-to-video and image-to-video architectures. It achieves cross-modal alignment using text-image-video triplet data by redesigning the joint text-image injection model. Additionally, it emphasizes subject consistency in human generation while enhancing ID-preserving video generation.

In simpler terms, ComfyUI Phantom allows you to generate videos based on reference images and a text prompt, making it perfect for identity-consistent human video synthesis.

    ### Notes
    **ComfyUI Phantom | Subject to Video** — see [RunComfy page]( for the latest node requirements.