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
File size: 1,320 Bytes
46dc982 | 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 | import { app } from "../../../scripts/app.js";
import { ComfyWidgets } from "../../../scripts/widgets.js";
app.registerExtension({
name: "pysssss.MathExpression",
init() {
const STRING = ComfyWidgets.STRING;
ComfyWidgets.STRING = function (node, inputName, inputData) {
const r = STRING.apply(this, arguments);
r.widget.dynamicPrompts = inputData?.[1].dynamicPrompts;
return r;
};
},
beforeRegisterNodeDef(nodeType) {
if (nodeType.comfyClass === "MathExpression|pysssss") {
const onDrawForeground = nodeType.prototype.onDrawForeground;
nodeType.prototype.onNodeCreated = function() {
// These are typed as any to bypass backend validation
// update frontend to restrict types
for(const input of this.inputs) {
input.type = "INT,FLOAT,IMAGE,LATENT";
}
}
nodeType.prototype.onDrawForeground = function (ctx) {
const r = onDrawForeground?.apply?.(this, arguments);
const v = app.nodeOutputs?.[this.id + ""];
if (!this.flags.collapsed && v) {
const text = v.value[0] + "";
ctx.save();
ctx.font = "bold 12px sans-serif";
ctx.fillStyle = "dodgerblue";
const sz = ctx.measureText(text);
ctx.fillText(text, this.size[0] - sz.width - 5, LiteGraph.NODE_SLOT_HEIGHT * 3);
ctx.restore();
}
return r;
};
}
},
});
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