CivArchive
    LTX-2.3 Multiple Subject Reference Generation (Distilled GGUF) workflows - v1.0
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    STATEMENT OF INTENT

    My workflow itself and example videos that are clearly SFW have been unfairly blocked by Civitai moderators. If this situation continues, I will leave Civitai and migrate to Hugging Face.

    Overview

    This workflow generates videos by referencing multiple elements. It uses the Distilled GGUF model for fast generation.

    Core Features

    Multi-Subject Reference

    It references up to five images: 1 to 4 subject images and 1 background image. Since you cannot specify images by their numbers, you can achieve better results by describing the details of each image in the prompt. For more details, please visit https://huggingface.co/LiconStudio/LTX-2.3-Multiple-Subject-Reference.

    Single / Extend Generation Mode

    You can choose whether to generate the video once or extend it afterward.

    Note: Extend mode does not support multi-subject reference. It simply extends the video based on the information from the very last second.

    Three prompt input modes

    1. Prompt enhancement using Ollama

    2. Native LTX prompt enhancement

    3. Plain (no enhancement)

    If Ollama is not needed, you can disconnect it from the Ollama SubGraph node or simply delete the node.

    Optional Features

    Preview Switch: Displays a preview during sampling.

    Audio-driven: Generates a video that matches an existing audio file.

    Full Mode: Generated using Steps 15 and CFG 3.0. This takes a very long time. While the camera work and motion may be slightly improved, the generation time is not practical.

    Double-Frame Mode: For use with intense motion. By rendering at twice the frame rate, facial distortion is less likely to occur.

    Audio Reference: Voice cloning is possible by combining this with ID-LoRA (id-lora-talkvid-3k, id-lora-celebvhq-3k). Please ensure the reference audio file contains only the recorded voice.

    Note

    If you encounter the error, please update ComfyUI-KJNodes and ComfyUI-LTXVideo to the latest version.

    Description

    First Release

    Comments (1)

    Cali_GullaJun 14, 2026
    CivitAI
    When running the workflow, there are multiple import errors related to the `cv2` module (OpenCV). The logs show: `AttributeError: _ARRAY_API not found` and `ImportError: numpy.core.multiarray failed to import` This appears to be caused by incompatible library versions in the ComfyUI environment. As a result, many custom nodes that rely on OpenCV fail to load, including `ComfyUI-LTXVideo` and others. I suspect this is related to a critical dependency conflict between `numpy` (>2.0) and `protobuf` / `tensorflow`, which is actively being discussed in the community (e.g., Issue #12198 on GitHub). **Environment:** * **ComfyUI**: version 0.24.0 (portable build) * **Python**: 3.13.12 * **PyTorch**: 2.12.0+cu130 * **OS**: Windows 10 / 11 * **GPU**: NVIDIA RTX 3060 (12GB)

    Workflows
    LTXV 2.3

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    Details

    Downloads
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    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    6/14/2026
    Updated
    6/17/2026
    Deleted
    6/15/2026

    Files

    ltx23MultipleSubject_v10.zip

    Mirrors

    CivitAI (1 mirrors)