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 { $el } from "../../../../scripts/ui.js"; | |
| export function addStylesheet(url) { | |
| if (url.endsWith(".js")) { | |
| url = url.substr(0, url.length - 2) + "css"; | |
| } | |
| $el("link", { | |
| parent: document.head, | |
| rel: "stylesheet", | |
| type: "text/css", | |
| href: url.startsWith("http") ? url : getUrl(url), | |
| }); | |
| } | |
| export function getUrl(path, baseUrl) { | |
| if (baseUrl) { | |
| return new URL(path, baseUrl).toString(); | |
| } else { | |
| return new URL("../" + path, import.meta.url).toString(); | |
| } | |
| } | |
| export async function loadImage(url) { | |
| return new Promise((res, rej) => { | |
| const img = new Image(); | |
| img.onload = res; | |
| img.onerror = rej; | |
| img.src = url; | |
| }); | |
| } | |