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    Friendly LTX-2.3 T2V+I2V+Lipsync - Unified Omni v1.0
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    Welcome to my πŸ’«πŸŽ¦ Friendly LTX-2.3 T2V+I2V+Lipsync

    ✨ Less mess, more magic

    • Unified Omni - Lipsync all-in one version with latest quality enhancers and OmniVoice implementation for voice cloning

    • Unified ID - Lipsync all-in one better quality version with two-stage video generation and ID-Lora implementation for voice cloning

    • Unified Light - Lipsync all-in one version with single-stage video generation

    LTX-2.3 is a state-of-the-art DiT-based (Diffusion Transformer) audio-video foundation model developed by Lightricks. It represents a significant evolution from LTX-2, delivering enhanced audio and visual quality alongside improved prompt adherence. The model is specifically designed to generate synchronized video and audio within a single unified architecture, making it a powerful tool for multimodal content creation.

    I offer my unique workflow with convenient options control and all-in-one structure (audio, t2v, i2v)

    πŸ’» System requirements:

    • Minimum system requirements for 540p i2v and 720p t2v:

    RTX 3000-s, 8GB+ VRAM, 45GB+ RAM, 8-core processor, SSD, latest ComfyUI

    πŸš€ Low VRAM optional optimization:

    • For systems with low VRAM use --reserve-vram ComfyUI parameter in run_nvidia_gpu.bat:Β --reserve-vram 4Β (or other number in GB).

    πŸ“Œ Detailed tips and links to models in the workflow

    ✨ Workflow features:

    • Extremely user-friendly interface

    • Maximum performance and optimization from 8GB of VRAM: GGUF or 8-step distilled model with fp4 or fp8 text encoder

    • All-in-one: i2v, t2v, and interpolation

    • Convenient one-click mode switching

    • Prompt enhancer and sampler previews

    • Generation time setting in seconds

    • Lora support (up to 3)

    • Detailed tips and links to all necessary models

    • Manual random seed for complete control over generations

    πŸ€—πŸ™πŸΌ Thanks to Lightricks Team

    Original repo β€” GitHub

    Description

    • No subgraph version - just clean Friendly UI

    • OmniVoice implementation for voice cloning

    • Unique denoise parameter, which allows to generate up to 20 steps on second pass for better quality

    • Quality Boost mode with Multimodal Guider implementation - better with Dev model and 30 steps

    • Use any Dev/Distilled/GGUF model, easily switch between models

    • Generate with or without audio (t2v and i2v)

    • Links to best models and loras

    • Detailed tips

    FAQ

    Workflows
    LTXV 2.3

    Details

    Downloads
    82
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/17/2026
    Updated
    5/27/2026
    Deleted
    -

    Files

    friendlyLTX23T2VI2V_unifiedOmniV10.zip