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Plaguekind
/
ltx2.3

LTX-2
workflow
i2v
comfyui
int8
convrot
nvfp4
int8 convrot
Model card Files Files and versions
xet
Community
2

Instructions to use Plaguekind/ltx2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LTX-2

    How to use Plaguekind/ltx2.3 with LTX-2:

    # Install the LTX-2 pipelines
    git clone https://github.com/Lightricks/LTX-2.git
    cd LTX-2
    uv sync --extra natten
    # Download weights from this repo
    # Substitute filenames from this repo's "Files and versions" if they differ
    hf download Plaguekind/ltx2.3 \
        diffusion_models/<distilled-transformer>.safetensors \
        text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \
        vae/<video-vae>.safetensors \
        vae/<audio-vae>.safetensors \
        latent_upscale_models/<spatial-upsampler>.safetensors \
        latent_upscale_models/<temporal-upsampler>.safetensors \
        --local-dir models/ltx2.3
    # DFR requires the detailing IC-LoRA (separate repo; strength is fixed at 0.5)
    hf download Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler --local-dir models/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler
    # Distilled LTX-2.5 pipeline (fast)
    uv run python -m ltx_pipelines.distilled \
        --transformer-path models/ltx2.3/diffusion_models/<distilled-transformer>.safetensors \
        --text-encoder-path models/ltx2.3/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \
        --video-vae-path models/ltx2.3/vae/<video-vae>.safetensors \
        --audio-vae-path models/ltx2.3/vae/<audio-vae>.safetensors \
        --spatial-upsampler-path models/ltx2.3/latent_upscale_models/<spatial-upsampler>.safetensors \
        --num-frames 121 \
        --prompt "A beautiful sunset over the ocean" \
        --output-path output.mp4
    # For image-to-video, add: --image path/to/image.jpg 0 0.8
    # DFR pipeline (higher detail fidelity; optional temporal 2x/4x)
    uv run python -m ltx_pipelines.dfr_pipeline \
        --transformer-path models/ltx2.3/diffusion_models/<distilled-transformer>.safetensors \
        --text-encoder-path models/ltx2.3/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \
        --video-vae-path models/ltx2.3/vae/<video-vae>.safetensors \
        --audio-vae-path models/ltx2.3/vae/<audio-vae>.safetensors \
        --spatial-upsampler-path models/ltx2.3/latent_upscale_models/<spatial-upsampler>.safetensors \
        --temporal-upsampler-path models/ltx2.3/latent_upscale_models/<temporal-upsampler>.safetensors \
        --detailing-lora models/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors \
        --spatial-upscalings 1 \
        --temporal-upscalings 1 \
        --height 1088 \
        --width 1920 \
        --num-frames 121 \
        --prompt "A beautiful sunset over the ocean" \
        --output-path output.mp4
    # For 4K: --spatial-upscalings 2 --width 3840 --height 2176
    # For image-to-video, add: --image path/to/image.jpg 0 0.8
  • Notebooks
  • Google Colab
  • Kaggle
ltx2.3
912 kB
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  • 1 contributor
History: 44 commits
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Plaguekind
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    initial commit 5 months ago
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