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px6
/
real-human-lora-ltx2.3

LTX.io
ltx-2.3
lora
concept-drift
mislabeling
research
ai-art
Model card Files Files and versions
xet
Community

Instructions to use px6/real-human-lora-ltx2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LTX.io

    How to use px6/real-human-lora-ltx2.3 with LTX.io:

    # Install the LTX-2 pipelines
    git clone https://github.com/Lightricks/LTX-2.git
    cd LTX-2
    uv sync --frozen
    # Download the weights from this repo, plus the Gemma text encoder
    hf download px6/real-human-lora-ltx2.3 --local-dir models/real-human-lora-ltx2.3
    hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
    # Text/image-to-video with the LoRA on the HQ two-stage base pipeline
    uv run python -m ltx_pipelines.ti2vid_two_stages_hq \
        --checkpoint-path path/to/checkpoint.safetensors \
        --distilled-lora path/to/distilled_lora.safetensors 0.8 \
        --spatial-upsampler-path path/to/spatial_upsampler.safetensors \
        --gemma-root models/gemma-3-12b \
        --lora models/real-human-lora-ltx2.3/<weights>.safetensors 1.0 \
        --prompt "your prompt here" \
        --output-path output.mp4
    # For image-to-video, add: --image path/to/image.jpg 0 0.8
  • Notebooks
  • Google Colab
  • Kaggle
real-human-lora-ltx2.3 / samples /training_progression
4.11 MB
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  • 1 contributor
History: 1 commit
px6's picture
px6
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