CivArchive
    Very low VRAM LTXV I2V workflow. - 4GB - v1.0

    This is the only LTX 2.3 video workflow so far I that I can run on my NVIDIA GeForce RTX 3050 4GB vram GPU and 8GB ram laptop.

    It's not fast on 4GB and probably much faster on 6GB and 8GB machines.

    I recommend having these settings in your run_nvidia_gpu.bat file:

    --windows-standalone-build --lowvram --force-fp16 --use-split-cross-attention

    So change the first line to something like this:

    .\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --lowvram --force-fp16 --use-split-cross-attention

    Here are the filenames and where to Place them. The files can be found on huggingface.

    C:\AI\ComfyUI_windows_portable\ComfyUI\models\unet

    ltx-2-3-22b-dev-Q4_K_M.gguf

    C:\AI\ComfyUI_windows_portable\ComfyUI\models\clip

    gemma_3_12B_it_fp4_mixed.safetensors

    ltx-2.3_text_projection_bf16.safetensors

    C:\AI\ComfyUI_windows_portable\ComfyUI\models\vae

    LTX23_video_vae_bf16.safetensors

    LTX23_audio_vae_bf16.safetensors

    C:\AI\ComfyUI_windows_portable\ComfyUI\models\latent_upscale_models

    ltx-2.3-spatial-upscaler-x2-1.0.safetensors

    C:\AI\ComfyUI_windows_portable\ComfyUI\models\loras

    ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors

    If you change the frame rate, do it on both video and audio so it stays synced.

    Description

    Can use some optimization

    Workflows
    LTXV 2.3

    Details

    Downloads
    77
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/3/2026
    Updated
    4/6/2026
    Deleted
    -

    Files

    veryLowVRAMLTXVI2V_v10.zip