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
| import { app } from "../../../scripts/app.js"; | |
| app.registerExtension({ | |
| name: "pysssss.PlaySound", | |
| async beforeRegisterNodeDef(nodeType, nodeData, app) { | |
| if (nodeData.name === "PlaySound|pysssss") { | |
| const onExecuted = nodeType.prototype.onExecuted; | |
| nodeType.prototype.onExecuted = async function () { | |
| onExecuted?.apply(this, arguments); | |
| if (this.widgets[0].value === "on empty queue") { | |
| if (app.ui.lastQueueSize !== 0) { | |
| await new Promise((r) => setTimeout(r, 500)); | |
| } | |
| if (app.ui.lastQueueSize !== 0) { | |
| return; | |
| } | |
| } | |
| let file = this.widgets[2].value; | |
| if (!file) { | |
| file = "notify.mp3"; | |
| } | |
| if (!file.startsWith("http")) { | |
| if (!file.includes("/")) { | |
| file = "assets/" + file; | |
| } | |
| file = new URL(file, import.meta.url) | |
| } | |
| const url = new URL(file); | |
| const audio = new Audio(url); | |
| audio.volume = this.widgets[1].value; | |
| audio.play(); | |
| }; | |
| } | |
| }, | |
| }); | |