CivArchive
    LTX2.3 ComfyUI - it2v_gguf v1.0
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    Preview 138114388

    Here is one workflow:

    - ltx2.3-it2v-gguf.json

    use gguf and split models.

    Reference output:

    RTX4070 16GB vRAM + 32G RAM i2v(10Eros_v1.4; 15*24*768*960): Prompt executed in 441.41 seconds

    RTX5080 laptop 16G vRAM + 64G RAM i2v(10Eros_v1.4; 15*24*768*960): Prompt executed in 338.79 seconds

    Requirements:

    Models:

    - 10Eros_v1.4-Q5_K_M.gguf (GGUF), Put in: ComfyUI\models\unet

    https://huggingface.co/vantagewithai/LTX2.3-10Eros-1.4-GGUF/resolve/main/10Eros_v1.4-Q5_K_M.gguf

    - ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors (distill lora) Put in: ComfyUI\models\lora\LTX

    https://huggingface.co/SulphurAI/Sulphur-2-base/resolve/main/distill_loras/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors

    - ltx-2.3-spatial-upscaler-x2-1.1.safetensors (latent upscale) Put in: ComfyUI\models\latent_upscale_models

    https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors

    - gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors (CLIP) Put in: ComfyUI\models\text_encoders

    https://huggingface.co/DreamFast/gemma-3-12b-it-heretic-v2/resolve/main/comfyui/gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors

    - ltx-2.3_text_projection_bf16.safetensors (Split file.)

    https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors

    - Split VAE files (VAE) Put in: ComfyUI\models\vae\ltx

    - LTX23_video_vae_bf16.safetensors

    https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors

    - LTX23_audio_vae_bf16.safetensors

    https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors

    - taeltx2_3.safetensors

    https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors

    ComfyUI Nodes:

    - rgthree-comfy

    - ComfyUI-KJNodes

    - ComfyUI-VideoHelperSuite

    - ComfyUI-GGUF

    Description

    use gguf and split models.

    FAQ

    Comments (6)

    vennettillieric762Jul 29, 2026
    CivitAI

    There are a lot of LTX gguf workflows available. What is the interest of yours?

    Chris_T
    Author
    Jul 30, 2026

    thanks for respose. I just wanna make it easy to understand and use.

    Galtherok349Aug 2, 2026
    CivitAI

    I just started using this workflow it's really good! Any tips for someone who's never used LTX, and is there any plans to add lipsync for audio files?

    Chris_T
    Author
    Aug 6, 2026· 1 reaction

    I'm glad the workflow has been useful to you. Since prompts directly impact the output, you can ask LLM AI models (such as GPT or Gemini) to consult the recommended prompting guidelines for the specific generative model you are using, and then have them assist you in creating effective prompts. As for audio file synchronization, I'll look into that when I have some free time.

    Galtherok349Aug 6, 2026

    @Chris_T Awesome! One other thing, do you know a way I can input a final frame as well? I know that was a thing in WAN but not sure if it can be done in ltx.

    rumohsturluson916Aug 3, 2026
    CivitAI

    works really well out of the box. 8sec videos on a rtx 3060 with 12gb ram takes around 10min.

    Workflows
    LTXV 2.3

    Details

    Downloads
    232
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/29/2026
    Updated
    8/23/2026
    Deleted
    -

    Files

    ltx23Comfyui_it2vGgufV10.json

    Mirrors