CivArchive
    LTX 2.3 Dev / Raw / Base Int8 Row ConvRot HQ - v1.0
    Preview 137104600
    Preview 137104689
    Preview 137104692
    Preview 137104718

    This is HQ Int8 Row ConvRot of LTX 2.3 Dev / Raw / Base model. Not the Distilled / Turbo fast model.

    Made from official BF16 model with SECourses Musubi Trainer Quantization app

    You can download and use Musubi Trainer app for both training and quantization from here : https://www.patreon.com/SECourses/posts/secourses-musubi-137551634

    To be able to use this model with very best performance please use our Torch 2.13 CUDA 13 ComfyUI installer with ready presets : https://www.patreon.com/SECourses/posts/download-comfyui-installers-and-presets-105023709

    I also recommend our SwarmUI installer with ready SwarmUI presets : https://www.patreon.com/posts/download-swarmui-installer-and-presets-114517862

    With our HQ Int8 Row ConvRot quant conversation and app and preset, the model quality is able to surpass GGUF Q8

    With our ComfyUI backend, Int8 Row ConvRot is able to generate faster than FP8 Scaled literally 100% faster on RTX 3000, 4000 and 5000 series GPUs

    Model quantization is taking around 3-4 hours on RTX 5090 since we do training like quantization with prodigy optimizer

    Check model screenshots to see and learn more

    Description

    This is HQ Int8 Row ConvRot of LTX 2.3 Dev / Raw / Base model. Not the Distilled / Turbo fast model.

    Made from official BF16 model with SECourses Musubi Trainer Quantization app

    You can download and use Musubi Trainer app for both training and quantization from here : https://www.patreon.com/SECourses/posts/secourses-musubi-137551634

    To be able to use this model with very best performance please use our Torch 2.13 CUDA 13 ComfyUI installer with ready presets : https://www.patreon.com/SECourses/posts/download-comfyui-installers-and-presets-105023709

    I also recommend our SwarmUI installer with ready SwarmUI presets : https://www.patreon.com/posts/download-swarmui-installer-and-presets-114517862

    With our HQ Int8 Row ConvRot quant conversation and app and preset, the model quality is able to surpass GGUF Q8

    With our ComfyUI backend, Int8 Row ConvRot is able to generate faster than FP8 Scaled literally 100% faster on RTX 3000, 4000 and 5000 series GPUs

    Model quantization is taking around 3-4 hours on RTX 5090 since we do training like quantization with prodigy optimizer

    Check model screenshots to see and learn more

    Checkpoint
    LTXV 2.3

    Details

    Downloads
    56
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/18/2026
    Updated
    7/19/2026
    Deleted
    -

    Files

    ltx23DevRawBaseInt8Row_v10.safetensors