Nodes/CRT-Nodes/LTX2.5 Temporal Upscaler (CRT AutoDL)
ComfyUI Node

LTX2.5 Temporal Upscaler (CRT AutoDL)

The half that doubles the frame count

By PGCRT·Created 2 years ago·Updated 6 days ago· 138
LTX2.5 Temporal Upscaler (CRT AutoDL)
    • model

    LTX2.5 Temporal Upscaler (CRT AutoDL) is the time-axis half of LTX2.5's upscaling pair. Where the spatial upscaler doubles resolution, this one doubles the frame count - it's a temporal upscaler for the latent space, loaded as a LATENT_UPSCALE_MODEL and auto-downloaded on first run into ComfyUI/models/latent_upscale_models/.

    Think of it as interpolation that lives inside the latent representation instead of being bolted on after decode. Your sampler might generate at a modest frame count for speed, and the temporal upscaler doubles the effective duration/frame rate as a separate pass - smoothing motion between frames rather than leaving you with the stutter of a low-fps render. In the LTX2.5 stack it's the sibling of Spatial Upscaler: use both for a clean 2x in every dimension, or just this one when your bottleneck is motion smoothness, not resolution.

    How it works

    Like its spatial sibling, this is a pre-decode pass: it operates on the latent tensor, so it's cheaper than frame-interpolating pixels afterward, and the LATENT_UPSCALE_MODEL output plugs into the same latent-upscale machinery. It's the bf16 repack of the official LTX2.5 temporal upscaler, downloaded from the same UntMods/CRT_Nodes_25Gate repo that supplies the video/audio VAEs - so the CRT stack keeps all its LTX2.5 pieces from consistent sources.

    No inputs to configure. Add it, let the download run, and wire the output where your workflow expects a latent upscale model for the temporal stage.

    Installing it

    Standard CRT install:

    cd ComfyUI/custom_nodes
    git clone https://github.com/PGCRT/CRT-Nodes.git
    pip install -r requirements.txt
    

    or ComfyUI Manager → search CRT-Nodes, restart. The download is small (a few hundred MB); the pack's heavy requirements install is the slower part.

    Common issues

    • Frame count didn't change - the temporal upscaler only does its thing if the workflow actually runs a temporal upscale pass. Check that you're feeding the latent into the upscale stage, not just loading the node.
    • Spatial vs temporal mix-ups - this one is for duration/frame rate. If you wanted bigger frames, that's the Spatial Upscaler.
    • Update breakage - red socket or NaN → right-click → Fix node (recreate).
    CategoryCRT/AutoDL/LTX2.5

    Inputs (0)

    No inputs

    Outputs (1)

    NameTypeDescription
    modelLATENT_UPSCALE_MODEL