Instructions to use DouraVITA/ltx-ugc-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use DouraVITA/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 DouraVITA/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 type { | |
| IContextMenuValue, | |
| LGraphCanvas as TLGraphCanvas, | |
| LGraphNode, | |
| } from "@comfyorg/frontend"; | |
| import type {ComfyNodeDef} from "typings/comfy.js"; | |
| import {app} from "scripts/app.js"; | |
| import {rgthree} from "./rgthree.js"; | |
| import {getGroupNodes, getOutputNodes} from "./utils.js"; | |
| import {SERVICE as CONFIG_SERVICE} from "./services/config_service.js"; | |
| function showQueueNodesMenuIfOutputNodesAreSelected( | |
| existingOptions: (IContextMenuValue<unknown> | null)[], | |
| ) { | |
| if (CONFIG_SERVICE.getConfigValue("features.menu_queue_selected_nodes") === false) { | |
| return; | |
| } | |
| const outputNodes = getOutputNodes(Object.values(app.canvas.selected_nodes)); | |
| const menuItem = { | |
| content: `Queue Selected Output Nodes (rgthree) `, | |
| className: "rgthree-contextmenu-item", | |
| callback: () => { | |
| rgthree.queueOutputNodes(outputNodes); | |
| }, | |
| disabled: !outputNodes.length, | |
| }; | |
| let idx = existingOptions.findIndex((o) => o?.content === "Outputs") + 1; | |
| idx = idx || existingOptions.findIndex((o) => o?.content === "Align") + 1; | |
| idx = idx || 3; | |
| existingOptions.splice(idx, 0, menuItem); | |
| } | |
| function showQueueGroupNodesMenuIfGroupIsSelected( | |
| existingOptions: (IContextMenuValue<unknown> | null)[], | |
| ) { | |
| if (CONFIG_SERVICE.getConfigValue("features.menu_queue_selected_nodes") === false) { | |
| return; | |
| } | |
| const group = | |
| rgthree.lastCanvasMouseEvent && | |
| (app.canvas.getCurrentGraph() || app.graph).getGroupOnPos( | |
| rgthree.lastCanvasMouseEvent.canvasX, | |
| rgthree.lastCanvasMouseEvent.canvasY, | |
| ); | |
| const outputNodes: LGraphNode[] | null = (group && getOutputNodes(getGroupNodes(group))) || null; | |
| const menuItem = { | |
| content: `Queue Group Output Nodes (rgthree) `, | |
| className: "rgthree-contextmenu-item", | |
| callback: () => { | |
| outputNodes && rgthree.queueOutputNodes(outputNodes); | |
| }, | |
| disabled: !outputNodes?.length, | |
| }; | |
| let idx = existingOptions.findIndex((o) => o?.content?.startsWith("Queue Selected ")) + 1; | |
| idx = idx || existingOptions.findIndex((o) => o?.content === "Outputs") + 1; | |
| idx = idx || existingOptions.findIndex((o) => o?.content === "Align") + 1; | |
| idx = idx || 3; | |
| existingOptions.splice(idx, 0, menuItem); | |
| } | |
| /** | |
| * Adds a "Queue Node" menu item to all output nodes, working with `rgthree.queueOutputNode` to | |
| * execute only a single node's path. | |
| */ | |
| app.registerExtension({ | |
| name: "rgthree.QueueNode", | |
| async beforeRegisterNodeDef(nodeType: typeof LGraphNode, nodeData: ComfyNodeDef) { | |
| const getExtraMenuOptions = nodeType.prototype.getExtraMenuOptions; | |
| nodeType.prototype.getExtraMenuOptions = function ( | |
| canvas: TLGraphCanvas, | |
| options: (IContextMenuValue<unknown> | null)[], | |
| ): (IContextMenuValue<unknown> | null)[] { | |
| const extraOptions = getExtraMenuOptions?.call(this, canvas, options) ?? []; | |
| showQueueNodesMenuIfOutputNodesAreSelected(options); | |
| showQueueGroupNodesMenuIfGroupIsSelected(options); | |
| return extraOptions; | |
| }; | |
| }, | |
| async setup() { | |
| const getCanvasMenuOptions = LGraphCanvas.prototype.getCanvasMenuOptions; | |
| LGraphCanvas.prototype.getCanvasMenuOptions = function (...args: any[]) { | |
| const options = getCanvasMenuOptions.apply(this, [...args] as any); | |
| showQueueNodesMenuIfOutputNodesAreSelected(options); | |
| showQueueGroupNodesMenuIfGroupIsSelected(options); | |
| return options; | |
| }; | |
| }, | |
| }); | |