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"; | |
| let setting; | |
| const id = "pysssss.SnapToGrid"; | |
| /** Wraps the provided function call to set/reset shiftDown when setting is enabled. */ | |
| function wrapCallInSettingCheck(fn) { | |
| if (setting?.value) { | |
| const shift = app.shiftDown; | |
| app.shiftDown = true; | |
| const r = fn(); | |
| app.shiftDown = shift; | |
| return r; | |
| } | |
| return fn(); | |
| } | |
| const ext = { | |
| name: id, | |
| init() { | |
| setting = app.ui.settings.addSetting({ | |
| id, | |
| name: "🐍 Always snap to grid", | |
| defaultValue: false, | |
| type: "boolean", | |
| onChange(value) { | |
| app.canvas.align_to_grid = value; | |
| }, | |
| }); | |
| // We need to register our hooks after the core snap to grid extension runs | |
| // Do this from the graph configure function so we still get onNodeAdded calls | |
| const configure = LGraph.prototype.configure; | |
| LGraph.prototype.configure = function () { | |
| // Override drawNode to draw the drop position | |
| const drawNode = LGraphCanvas.prototype.drawNode; | |
| LGraphCanvas.prototype.drawNode = function () { | |
| wrapCallInSettingCheck(() => drawNode.apply(this, arguments)); | |
| }; | |
| // Override node added to add a resize handler to force grid alignment | |
| const onNodeAdded = app.graph.onNodeAdded; | |
| app.graph.onNodeAdded = function (node) { | |
| const r = onNodeAdded?.apply(this, arguments); | |
| const onResize = node.onResize; | |
| node.onResize = function () { | |
| wrapCallInSettingCheck(() => onResize?.apply(this, arguments)); | |
| }; | |
| return r; | |
| }; | |
| const groupMove = LGraphGroup.prototype.move; | |
| LGraphGroup.prototype.move = function(deltax, deltay, ignore_nodes) { | |
| wrapCallInSettingCheck(() => groupMove.apply(this, arguments)); | |
| } | |
| const canvasDrawGroups = LGraphCanvas.prototype.drawGroups; | |
| LGraphCanvas.prototype.drawGroups = function (canvas, ctx) { | |
| wrapCallInSettingCheck(() => canvasDrawGroups.apply(this, arguments)); | |
| } | |
| const canvasOnGroupAdd = LGraphCanvas.onGroupAdd; | |
| LGraphCanvas.onGroupAdd = function() { | |
| wrapCallInSettingCheck(() => canvasOnGroupAdd.apply(this, arguments)); | |
| } | |
| return configure.apply(this, arguments); | |
| }; | |
| }, | |
| }; | |
| app.registerExtension(ext); | |