Instructions to use bionicman69/StarTrek_TNG_Style_LTX23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use bionicman69/StarTrek_TNG_Style_LTX23 with LTX-2:
# 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 bionicman69/StarTrek_TNG_Style_LTX23 --local-dir models/StarTrek_TNG_Style_LTX23 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/StarTrek_TNG_Style_LTX23/<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
Download picard.mp4 from bionicman69/StarTrek_TNG_Style_LTX23: direct link, hf CLI and curl.
- Browser
- Download file 57 MB
-
https://huggingface.co/bionicman69/StarTrek_TNG_Style_LTX23/resolve/main/picard.mp4
- Command line
-
hf download hf://bionicman69/StarTrek_TNG_Style_LTX23/picard.mp4
-
curl -L -o picard.mp4 https://huggingface.co/bionicman69/StarTrek_TNG_Style_LTX23/resolve/main/picard.mp4
57 MB
- Xet hash:
- a253855423f5fc0dacb16a28a7d8705a138a004b45d70aa0a5c91628a3603551
- Size of remote file:
- 57 MB
- SHA256:
- 9da466232560120c2ead65b3f87105c25d7106b097d76383267161d60ab25fa9
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