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: 1,544 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 | .easyuse-slider{
width:100%;
height:100%;
display: flex;
flex-direction: row;
justify-content: space-between;
position: relative;
}
.easyuse-slider-item{
height: inherit;
min-width: 25px;
justify-content: center;
display: flex;
flex-direction: column;
align-items: center;
}
.easyuse-slider-item.positive .easyuse-slider-item-label{
color: var(--success-color);
}
.easyuse-slider-item.negative .easyuse-slider-item-label{
color: var(--error-color);
}
.easyuse-slider-item-input{
height:15px;
font-size: 10px;
color: var(--input-text);
}
.easyuse-slider-item-label{
height:15px;
border: none;
color: var(--descrip-text);
font-size: 8px;
}
.easyuse-slider-item-scroll {
width: 5px;
height: calc(100% - 30px);
background: var(--comfy-input-bg);
border-radius: 10px;
position: relative;
}
.easyuse-slider-item-bar{
width: 10px;
height: 10px;
background: linear-gradient(to bottom, var(--input-text), var(--descrip-text));
border-radius:100%;
box-shadow: 0 2px 10px var(--bg-color);
position: absolute;
top: 0;
left:-2.5px;
cursor: pointer;
z-index:1;
}
.easyuse-slider-item-area{
width: 100%;
border-radius:20px;
position: absolute;
bottom: 0;
background: var(--input-text);
z-index:0;
}
.easyuse-slider-item.positive .easyuse-slider-item-area{
background: var(--success-color);
}
.easyuse-slider-item.negative .easyuse-slider-item-area{
background: var(--error-color);
}
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