Files
Lightricks-ComfyUI-LTXVideo/example_workflows/2.5/LTX-2.5_ICLoRA_Motion_Track_Distilled.json

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186 KiB
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"## Save video\n\nThis is your output preview \ud83c\udf89\ud83e\udd73"
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"## Inputs\n\nEverything here is optional.\n\n### Prompt\n\nEnter a positive prompt. To rewrite it into a fuller description first, enable\n**enhance positive prompt** on the Input Parameters node below. The negative\nprompt is used as written and is never enhanced.\n\nSupplying an **LTX API key** encodes and enhances the prompt through the API\ninstead of locally, which saves memory. The workflow switches over on its own\nwhenever a key is present - there is nothing to un-bypass.\n\nSee the [prompting guide](https://docs.ltx.io/open-source-model/usage-guides/prompting-guide).\n\n### Image input\n\nCondition the video to open on a still by loading an image and enabling\n**use image input** on the Input Parameters node.\n\n### Frame rate and duration\n\nSet both below. The frame count has to be 1 + a multiple of 8, so the duration\nactually used is worked out from the fps and the duration you ask for, and may\ncome out slightly different.\n\n### Motion tracks\n\nDrag points on the **LTX Sparse Track Editor** to sketch how things should move.\nIt draws on the resized input image, and the number of points it samples follows\nthe frame count, so every frame gets a position.\n\nThe tracks are rendered into a guide video in **Preprocess** and fed to the\nmotion-track **IC-LoRA**; a preview of that guide is saved alongside the result."
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"outputs": [
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"name": "STRING",
"type": "STRING",
"links": []
}
],
"title": "Effective positive prompt (enhanced if enabled)",
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"outputs": [],
"title": "Model Links",
"properties": {},
"widgets_values": [
"## Model Links\n\n**LTX-2.5 Model Weights**\n\nMake sure to click the \"Agree and Access\" button the first time you download.\n\n- [ Distilled model - ltx-2.5-22b-distilled-transformer-bf16.safetensors ](https://huggingface.co/Lightricks/LTX-2.5/blob/main/diffusion_models/ltx-2.5-22b-distilled-transformer-bf16.safetensors)\n\n- [ IC-LoRA Motion Track Control - ltx-2.3-22b-ic-lora-motion-track-control-ref0.5.safetensors ](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Motion-Track-Control)\n\n- [ Audio VAE - ltx-2.5-audio-vae-bf16.safetensors ](https://huggingface.co/Lightricks/LTX-2.5/blob/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n\n- Video VAE - one of these:\n - [ Diffusion decoder ltx-2.5-video-vae-bf16.safetensors ](https://huggingface.co/Lightricks/LTX-2.5/blob/main/vae/ltx-2.5-video-vae-bf16.safetensors) - Best quality\n - [ Convolutional decoder - ltx-2.5-video-vae-conv-bf16.safetensors ](https://huggingface.co/Lightricks/LTX-2.5/blob/main/vae/ltx-2.5-video-vae-conv-bf16.safetensors) - Lower memory & faster\n\n\n**Text Encoder - finetuned for LTX-2.5**\n- [gemma4-12b-with-proj-ltx-2.5-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/blob/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors)\n\n**Text Enhancer**\n- [Google Gemma 4 E2B IT](https://huggingface.co/Comfy-Org/gemma-4/blob/main/text_encoders/gemma4_e2b_it_bf16.safetensors)\n\n\n**Model Storage Location**\n\n```\n\ud83d\udcc2 ComfyUI/\n\u251c\u2500\u2500 \ud83d\udcc2 models/\n\u2502 \u251c\u2500\u2500 \ud83d\udcc2 text_encoders/\n\u2502 \u2502 \u251c\u2500\u2500 gemma4-12b-with-proj-ltx-2.5-bf16.safetensors\n\u2502 \u2502 \u2514\u2500\u2500 gemma4_e2b_it_bf16.safetensors\n\u2502 \u251c\u2500\u2500 \ud83d\udcc2 loras/\n\u2502 \u2502 \u2514\u2500\u2500 ltx-2.3-22b-ic-lora-motion-track-control-ref0.5.safetensors\n\u2502 \u251c\u2500\u2500 \ud83d\udcc2 diffusion_models/\n\u2502 \u2502 \u2514\u2500\u2500 ltx-2.5-22b-distilled-transformer-bf16.safetensors\n\u2502 \u251c\u2500\u2500 \ud83d\udcc2 vae/\n\u2502 \u2502 \u2514\u2500\u2500 ltx-2.5-audio-vae-bf16.safetensors\n\u2502 \u2502 \u2514\u2500\u2500 ltx-2.5-video-vae-conv-bf16.safetensors / ltx-2.5-video-vae-bf16.safetensors\n```\n\n## Report Issues\nTo report any issues when running this workflow, [go to GitHub](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n"
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"## Generate\n\n**Sampler - Distilled (8 steps)**\n\nRuns the distilled ltx-2.5 model with the motion-track IC-LoRA applied, in 8\nsteps. You can change the noise seed, the guider cfg (used for both video and\naudio) and the sampler. The guide frames are cropped out afterwards\n(`LTXVCropGuides`) so only the generated video is decoded."
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"name": "video",
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"title": "Preprocess",
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"## Preprocess\n\nDraws the sparse tracks into a guide video (`LTXVDrawTracks`) at the size of the\nresized input image, and injects it via the IC-LoRA (`LTXAddVideoICLoRAGuide`).\n\nIt also builds the empty audio-video latent at that same size and the requested\nframe count, and conditions on the input image as the opening frame.\n\nThe guide frames are cropped out during sampling (`LTXVCropGuides`) so only the\ngenerated video is decoded. `tracks_preview` is the drawn guide, saved next to\nthe output so you can check the motion before committing to a long run."
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{
"name": "video",
"type": "VIDEO",
"links": []
}
],
"title": "Save tracks preview",
"properties": {
"Node name for S&R": "SaveVideo"
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{
"name": "negative",
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{
"name": "latent_image",
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{
"label": "noise seed",
"name": "noise_seed",
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"widget": {
"name": "noise_seed"
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{
"label": "guider cfg",
"name": "cfg",
"type": "FLOAT",
"widget": {
"name": "cfg"
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"name": "video_latent",
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{
"label": "audio_latent",
"name": "audio_latent",
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{
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"label": "positive",
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"## Decode\n\nMake sure to adjust the number of tiles and overlap to fit your hardware.\n(fewer tiles will result in faster execution, but will require more memory).\n\n### Recommended settings\n\n| node settings (pixels) | resolved latent geometry |\n| ------------------------------------------ | ------------------------------- |\n| `512 / 64 / 128 / 32` | 16x16, ov 2 - 16f ov 4 |\n| `768 / 192 / 128 / 32` | 24x24, ov 6 - 16f ov 4 |\n| `1024 / 256 / 128 / 48` | 32x32, ov 8 - 16f, ov 6 |\n| `1536 / 384 / 192 / 48` | 48x48, ov 12 - 24f, ov 6 |\n| `768 / 192 / spatial-only` | 24x24, ov 6 - no temporal split |"
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{
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"widget": {
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{
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"link": 13780
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{
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