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
| .pysssss-autocomplete { | |
| color: var(--descrip-text); | |
| background-color: var(--comfy-menu-bg); | |
| position: absolute; | |
| font-family: sans-serif; | |
| box-shadow: 3px 3px 8px rgba(0, 0, 0, 0.4); | |
| z-index: 9999; | |
| overflow: auto; | |
| } | |
| .pysssss-autocomplete-item { | |
| cursor: pointer; | |
| padding: 3px 7px; | |
| display: flex; | |
| border-left: 3px solid transparent; | |
| align-items: center; | |
| } | |
| .pysssss-autocomplete-item--selected { | |
| border-left-color: dodgerblue; | |
| } | |
| .pysssss-autocomplete-highlight { | |
| font-weight: bold; | |
| text-decoration: underline; | |
| text-decoration-color: dodgerblue; | |
| } | |
| .pysssss-autocomplete-pill { | |
| margin-left: auto; | |
| font-size: 10px; | |
| color: #fff; | |
| padding: 2px 4px 2px 14px; | |
| position: relative; | |
| } | |
| .pysssss-autocomplete-pill::after { | |
| content: ""; | |
| display: block; | |
| background: rgba(255, 255, 255, 0.25); | |
| width: calc(100% - 10px); | |
| height: 100%; | |
| position: absolute; | |
| left: 10px; | |
| top: 0; | |
| border-radius: 5px; | |
| } | |
| .pysssss-autocomplete-pill + .pysssss-autocomplete-pill { | |
| margin-left: 0; | |
| } | |
| .pysssss-autocomplete-item-info { | |
| margin-left: auto; | |
| transition: filter 0.2s; | |
| will-change: filter; | |
| text-decoration: none; | |
| padding-left: 10px; | |
| } | |
| .pysssss-autocomplete-item-info:hover { | |
| filter: invert(1); | |
| } | |