CivArchive
    LTXV2.3 GGUF I2V/T2V/FFLF+IDaudioLora 12gb Vram sageattn - v3.0 T2V I2V+IDloraAudio
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    A simple, color-coded GGUF workflow for running LTXV-2 in ComfyUI.
    Designed to be straightforward and lightweight.

    Common Issues

    Error: LTXVEmptyLatentAudio – AttributeError

    Update Kijai Node Pack to v1.2.8

    Checkerboard / patterned noise output

    Update all nodes + ComfyUI
    (Outdated GGUF loader or ComfyUI build)


    Required Node Packs

    ComfyUI-GGUF
    https://github.com/city96/ComfyUI-GGUF

    ComfyUI-KJNodes
    https://github.com/kijai/ComfyUI-KJNodes (install & update it to nightly)

    additional install via manager


    📦 Downloads

    🧩 Kijai’s Repo (ALL files except diffusion models — choose ONE LoRA)

    https://huggingface.co/Kijai/LTX2.3_comfy/tree/main

    Includes:

    • Distilled LoRA (REQUIRED)

    • Text Projection (embedding connector)


    🧠 Diffusion Models (GGUF)

    https://huggingface.co/unsloth/LTX-2.3-GGUF/tree/main

    Choose based on VRAM:

    • Q4_K_M → lower VRAM (recommended)

    • Q8_0 → higher quality, more VRAM

    ⚠️ Very low quants = basically unusable

    Includes:

    • VAE (audio + video)

    • GGUF models


    ✍️ Text Encoders (REQUIRED)

    Option 1 – Gemma (recommended for low VRAM)

    https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders

    Option 2 – Full version (higher VRAM, better quality)

    ➡️ You still ALSO need:

    • Text Projection (from Kijai’s repo)


    🔍 Latent Upscaler

    https://huggingface.co/Lightricks/LTX-2/tree/main/

    Files:

    • ltx-2-spatial-upscaler-x2-1.0.safetensors

    • ltx-2-temporal-upscaler-x2-1.0.safetensors


    ⚠️ Important Notes

    • Use DEV GGUF diffusion models (no distilled base model yet)

    • Distilled LoRA is still REQUIRED

    • Most issues = outdated nodes or ComfyUI

    .


    Description

    FAQ

    Comments (4)

    delta45424155Apr 23, 2026· 2 reactions
    CivitAI

    t2v 5s video took nearly 3 minutes on a rtx6000pro and the output wasn't anything close to the prompt. Epic fail.

    The_frizzy1
    Author
    Apr 24, 2026

    I tried to update this workflow yesterday but can’t do it even now I have this fixed on huggingface. This one has something wrong connected for t2v but also the resolution gets doubled so if you put in 512x512 it generates 1024x1024 which is why it might have taken much longer. I added simple math to make input resolution = output resolution. https://huggingface.co/The-frizzy1/LTX23-Ultimate

    soiasulMay 4, 2026
    CivitAI

    I'm getting
    RuntimeError: Error(s) in loading state_dict for LTXAVModel:

    size mismatch for audio_embeddings_connector.learnable_registers: copying a param with shape torch.Size([128, 2048]) from checkpoint, the shape in current model is torch.Size([128, 3840]).

    Any idea how to fix this?

    I tried ltx-2.3-22b-dev-Q4_K_D.gguf as well as distilled Versions of it 1.1 and without versioning and get the same issue.

    The_frizzy1
    Author
    May 16, 2026

    I dont know where the audio embending come from it shouldn’t be used in this workflow. It should be text projection otherwise that ususally from ether frame number or frame rate being off I updated the workflow maybe try it with the new one.

    Workflows
    LTXV 2.3

    Details

    Downloads
    1,211
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/20/2026
    Updated
    7/27/2026
    Deleted
    -