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: 3,310 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 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 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 | import { $el } from "../../../../scripts/ui.js";
import { addStylesheet, getUrl, loadImage } from "./utils.js";
import { createSpinner } from "./spinner.js";
addStylesheet(getUrl("lightbox.css", import.meta.url));
const $$el = (tag, name, ...args) => {
if (name) name = "-" + name;
return $el(tag + ".pysssss-lightbox" + name, ...args);
};
const ani = async (a, t, b) => {
a();
await new Promise((r) => setTimeout(r, t));
b();
};
export class Lightbox {
constructor() {
this.el = $$el("div", "", {
parent: document.body,
onclick: (e) => {
e.stopImmediatePropagation();
this.close();
},
style: {
display: "none",
opacity: 0,
},
});
this.closeBtn = $$el("div", "close", {
parent: this.el,
});
this.prev = $$el("div", "prev", {
parent: this.el,
onclick: (e) => {
this.update(-1);
e.stopImmediatePropagation();
},
});
this.main = $$el("div", "main", {
parent: this.el,
});
this.next = $$el("div", "next", {
parent: this.el,
onclick: (e) => {
this.update(1);
e.stopImmediatePropagation();
},
});
this.link = $$el("a", "link", {
parent: this.main,
target: "_blank",
});
this.spinner = createSpinner();
this.link.appendChild(this.spinner);
this.img = $$el("img", "img", {
style: {
opacity: 0,
},
parent: this.link,
onclick: (e) => {
e.stopImmediatePropagation();
},
onwheel: (e) => {
if (!(e instanceof WheelEvent) || e.ctrlKey) {
return;
}
const direction = Math.sign(e.deltaY);
this.update(direction);
},
});
}
close() {
ani(
() => (this.el.style.opacity = 0),
200,
() => (this.el.style.display = "none")
);
}
async show(images, index) {
this.images = images;
this.index = index || 0;
await this.update(0);
}
async update(shift) {
if (shift < 0 && this.index <= 0) {
return;
}
if (shift > 0 && this.index >= this.images.length - 1) {
return;
}
this.index += shift;
this.prev.style.visibility = this.index ? "unset" : "hidden";
this.next.style.visibility = this.index === this.images.length - 1 ? "hidden" : "unset";
const img = this.images[this.index];
this.el.style.display = "flex";
this.el.clientWidth; // Force a reflow
this.el.style.opacity = 1;
this.img.style.opacity = 0;
this.spinner.style.display = "inline-block";
try {
await loadImage(img);
} catch (err) {
console.error('failed to load image', img, err);
}
this.spinner.style.display = "none";
this.link.href = img;
this.img.src = img;
this.img.style.opacity = 1;
}
async updateWithNewImage(img, feedDirection) {
// No-op if lightbox is not open
if (this.el.style.display === "none" || this.el.style.opacity === "0") return;
// Ensure currently shown image does not change
const [method, shift] = feedDirection === "newest first" ? ["unshift", 1] : ["push", 0];
this.images[method](img);
await this.update(shift);
}
}
export const lightbox = new Lightbox();
addEventListener('keydown', (event) => {
if (lightbox.el.style.display === 'none') {
return;
}
const { key } = event;
switch (key) {
case 'ArrowLeft':
case 'a':
lightbox.update(-1);
break;
case 'ArrowRight':
case 'd':
lightbox.update(1);
break;
case 'Escape':
lightbox.close();
break;
}
}); |