Instructions to use hgjc/ltx-ugc-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use hgjc/ltx-ugc-bundle 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 hgjc/ltx-ugc-bundle --local-dir models/ltx-ugc-bundle hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/ltx-ugc-bundle/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/ltx-ugc-bundle/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/ltx-ugc-bundle/<checkpoint>.safetensors \ --distilled-lora models/ltx-ugc-bundle/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/ltx-ugc-bundle/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
| @echo off | |
| set "requirements_txt=%~dp0\requirements.txt" | |
| set "requirements_repair_txt=%~dp0\repair_dependency_list.txt" | |
| set "python_exec=..\..\..\python_embeded\python.exe" | |
| set "aki_python_exec=..\..\python\python.exe" | |
| echo Installing EasyUse Requirements... | |
| if exist "%python_exec%" ( | |
| echo Installing with ComfyUI Portable | |
| "%python_exec%" -s -m pip install -r "%requirements_txt%" | |
| )^ | |
| else if exist "%aki_python_exec%" ( | |
| echo Installing with ComfyUI Aki | |
| "%aki_python_exec%" -s -m pip install -r "%requirements_txt%" | |
| for /f "delims=" %%i in (%requirements_repair_txt%) do ( | |
| %aki_python_exec% -s -m pip install -i https://pypi.tuna.tsinghua.edu.cn/simple "%%i" | |
| ) | |
| )^ | |
| else ( | |
| echo Installing with system Python | |
| pip install -r "%requirements_txt%" | |
| ) | |
| pause |