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"; | |
| 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; | |
| }; | |
| } | |
| }, | |
| }); | |