ComfyUI Extension: ComfyUI-Jumper

Authored by myonmu0

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Pass string and images between multiple ComfyUI via socket. Easy and intuitive nodes for remote connection.

Custom Nodes (0)

    README

    日本語

    ComfyUI-Jumper

    Designed to integrate local ComfyUI with remote ComfyUI(ex: Runpod, Vast.ai)<br /> Pass string and images between multiple ComfyUI via socket.<br /> YouTube Demo<br />

    On Remote example On Local example

    What can do?

    • Combining resource: Instead of doing all job on 1 machine, you can do one part on local and another on remote.

    • Usability: Depending on the case, receiving the remote generated data inside local ComfyUI may be convenient.

    • Privacy: If run a workflow like the example on the remote, your data are NOT write on remote server disk, so the likelihood of your data(prompts, input image and video, generated image and video) to leak or expose to someone may reduce. If you expect privacy, don't connect your data to preview/save node in the remote.

    Install

    cd ComfyUI/custom_nodes/
git clone https://github.com/myonmu0/ComfyUI-Jumper

    Usage

    1. Rent one server, or start 2 ComfyUI on local.<br />

    2. Open a port on remote, MUST use a secure channel like SSH Tunnel.

    ssh root@REMOTE_IP -p REMOTE_PORT -NL 8282:localhost:8282
    • Default port are 8282, however you can change this in nodes.py DEFAULT_ADDR val, or manually change on node.
    • If you will integrate local with local, skip this.<br />
    1. Start local and remote ComfyUI. As tutorial, load the examples/local.json to local ComfyUI, examples/remote.json to remote ComfyUI and run both to see if works.
    • Accessing remote ComfyUI with SSH Tunnel are secure, easy and simple way that works on all cloud provider.
    • Accessing remote ComfyUI with browser's private/secret mode is a cleaner option because starts with 0 browser data, and ends with 0 data.<br />

    ⚠️ Known Issue: Job cancel button don't work when this node are running, in such case restart ComfyUI.

    Details

    Select all node "mode" to "Client" on local, and "Server" on remote.

    1 Jumper node chain on 1 workflow.

    The node "order" determine the order of sending/receiving data, and must be chain correctly on both side. Don't forget to add at least 1 node on the end of Jumper node chain(like in the example)

    | send_as | Size | CPU | About | | --------- | ------------- | --------------- | ------------------------------------------------- | | png | Small | Moderate | Convert tensor to png before sending. <sub>Progress bar: 1 = Conversion, 2 = Sending</sub> | | zlib | Large | Moderate | Compress tensor before sending. | | raw | Very Large | Very Low | Raw tensor are send. |