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
File size: 3,491 Bytes
8d6fabc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | 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;
};
},
});
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