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"; | |
| const notificationSetup = () => { | |
| if (!("Notification" in window)) { | |
| console.log("This browser does not support notifications."); | |
| alert("This browser does not support notifications."); | |
| return; | |
| } | |
| if (Notification.permission === "denied") { | |
| console.log("Notifications are blocked. Please enable them in your browser settings."); | |
| alert("Notifications are blocked. Please enable them in your browser settings."); | |
| return; | |
| } | |
| if (Notification.permission !== "granted") { | |
| Notification.requestPermission(); | |
| } | |
| return true; | |
| }; | |
| app.registerExtension({ | |
| name: "pysssss.SystemNotification", | |
| async beforeRegisterNodeDef(nodeType, nodeData, app) { | |
| if (nodeData.name === "SystemNotification|pysssss") { | |
| const onExecuted = nodeType.prototype.onExecuted; | |
| nodeType.prototype.onExecuted = async function ({ message, mode }) { | |
| onExecuted?.apply(this, arguments); | |
| if (mode === "on empty queue") { | |
| if (app.ui.lastQueueSize !== 0) { | |
| await new Promise((r) => setTimeout(r, 500)); | |
| } | |
| if (app.ui.lastQueueSize !== 0) { | |
| return; | |
| } | |
| } | |
| if (!notificationSetup()) return; | |
| const notification = new Notification("ComfyUI", { body: message ?? "Your notification has triggered." }); | |
| }; | |
| const onNodeCreated = nodeType.prototype.onNodeCreated; | |
| nodeType.prototype.onNodeCreated = function () { | |
| onNodeCreated?.apply(this, arguments); | |
| notificationSetup(); | |
| }; | |
| } | |
| }, | |
| }); | |