CivArchive
    LTX-2.5 INT8 AllInOne — Speed / Quality / Low Vram - v1.0 — INT8 Stage 2 Speed

    ## ⚠️ Installation — Download Both Files

    This workflow requires both downloadable files:

    1. Config JSON — the ComfyUI workflow

    2. Additional Components ZIP — required ltx25_smart_controls custom nodes

    Select and download both files from the Download panel.

    Extract the Additional Components ZIP directly into your ComfyUI root folder:

    ComfyUI/custom_nodes/ltx25_smart_controls/

    Then restart ComfyUI and import the workflow JSON.

    Model weights are not included and must be installed separately.

    ## LTX-2.5 INT8 AllModes Workflow

    A two-stage ComfyUI workflow for LTX-2.5 using the official Distilled INT8 ConvRot transformer.

    ### Features

    - T2V, I2V and FLF2V in one workflow

    - Final resolution, FPS, duration, exact frame count and seed controls

    - LTX audio generation

    - Optional standard LTX transformer LoRA

    - Conv VAE tiled decoding

    - Stage 1: SageAttention → Sol-Attn

    - Selectable Stage 2 mode:

    Speed — Sage + Sol

    Designed for lower-VRAM systems and long clips.

    12–16GB is the target range, but 12GB has not yet been physically verified.

    Quality — Native Exact Attention

    Uses native dense attention for the final refinement stage.

    24GB+ VRAM is recommended, while 32GB is safer for 1920×1088 / 15-second generation.

    ### Tested Environment

    - Windows

    - NVIDIA RTX 5080 16GB

    - 1920×1088 at 24 FPS

    - 10-second Quality mode completes normally

    - 15-second Quality mode completes but Stage 2 becomes significantly slower

    - Speed mode is intended to reduce this full-resolution attention bottleneck

    Stage 2 uses deterministic Euler with:

    0.909375, 0.725, 0.421875, 0.0

    ### Required Custom Nodes

    - ltx25_smart_controls v1.2.0 — must be installed separately

    - ComfyUI-KJNodes 1.5.0

    - ComfyUI-SolAttn_triton commit 842c4eaa7d91dbaef3fee3ccdbf36a39521e82fc

    - SageAttention

    - Triton / Triton-Windows

    ### Required Models

    - ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors

    - gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors

    - ltx-2.5-video-vae-conv-bf16.safetensors

    - ltx-2.5-audio-vae-bf16.safetensors

    - ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors

    Model weights are not included.

    After importing the workflow, select your own FIRST image for I2V or FIRST/LAST images for FLF2V.

    Built with reference to the official Lightricks LTX-2.5 two-stage workflow:

    https://github.com/Lightricks/ComfyUI-LTXVideo

    This is an experimental community optimization. Performance and VRAM requirements vary by resolution, duration, GPU, drivers and installed kernels.

    Description

    ## ⚠️ Installation — Download Both Files

    This workflow requires both downloadable files:

    1. Config JSON — the ComfyUI workflow

    2. Additional Components ZIP — required ltx25_smart_controls custom nodes

    Select and download both files from the Download panel.

    Extract the Additional Components ZIP directly into your ComfyUI root folder:

    ComfyUI/custom_nodes/ltx25_smart_controls/

    Then restart ComfyUI and import the workflow JSON.

    Model weights are not included and must be installed separately.

    Initial public release of an independent community workflow for LTXV 2.5.

    ### Features

    - T2V, I2V, and FLF2V in one organized workflow

    - Official LTX-2.5 Distilled INT8 ConvRot transformer

    - Two-stage generation with the official x2 latent upscaler

    - Stage 1: SageAttention → Sol-Attn

    - Stage 2 Speed: SageAttention + Sol-Attn

    - Stage 2 Quality: native exact attention

    - Optional standard LTX transformer LoRA

    - Video and LTX audio output

    ### Stage 2 modes

    Speed — Sage + Sol

    Designed for lower-VRAM systems and longer clips.

    12–16GB is the target range, but a physical 12GB GPU has not yet been verified.

    Quality — Native Exact

    24GB+ VRAM is recommended. For 1920×1088 and 15-second clips, 32GB is safer.

    ### Tested environment

    - Windows 11

    - NVIDIA GeForce RTX 5080 16GB

    - 1920×1088 at 24 FPS

    - 10-second Quality mode tested successfully

    This is a ComfyUI workflow, not a trained model. Training epochs and steps are not applicable.

    Model weights and LoRA files are not included. Users must select their own FIRST image for I2V and FIRST/LAST images for FLF2V.

    ### Required custom nodes

    - ltx25_smart_controls v1.2.0

    - ComfyUI-KJNodes 1.5.0

    - ComfyUI-SolAttn_triton commit 842c4eaa7d91dbaef3fee3ccdbf36a39521e82fc

    - SageAttention

    - Triton or Triton-Windows

    Developed with reference to and incorporating elements of the official Lightricks ComfyUI-LTXVideo LTX-2.5 two-stage distilled workflow. This is a modified community workflow and is not endorsed by Lightricks or ComfyUI. Upstream and dependency licenses continue to apply.

    Workflows
    LTXV 2.5

    Details

    Downloads
    64
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/12/2026
    Updated
    8/12/2026
    Deleted
    -

    Files

    ltx25INT8AllinoneSpeed_v10INT8Stage2Speed.json

    ltx25INT8AllinoneSpeed_v10INT8Stage2Speed.zip