The workflow JSON
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{
"name": "LTX 2.3 Dynamic Text-to-Video",
"nodes": [
{
"parameters": {
"content": "## LTX 2.3 Text-to-Video\n\nThis workflow finds the most available `ltx23-*` model first, then runs text-to-video.\n\n### Setup\n1. Install `n8n-nodes-sogni`\n2. Add Sogni credentials\n3. Click Test Workflow\n\n### Why dynamic selection?\n- LTX 2.3 model IDs can change as new presets land\n- This avoids hardcoding a specific model ID\n- Frames are set to an `8n+1` safe value for LTX",
"height": 360,
"width": 360,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-120,
80
],
"id": "sticky-ltx23-t2v-info",
"name": "LTX 2.3 T2V Info"
},
{
"parameters": {},
"id": "start-node",
"name": "When clicking 'Test workflow'",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
220,
280
]
},
{
"parameters": {
"resource": "model",
"operation": "getAll"
},
"id": "get-models",
"name": "Get All Models",
"type": "n8n-nodes-sogni.sogni",
"typeVersion": 1,
"position": [
460,
280
],
"notes": "Fetches all currently available Sogni models"
},
{
"parameters": {
"jsCode": "const ltx23Models = $input.all()\n .map((item) => item.json)\n .filter((model) => {\n const id = String(model.id || '').toLowerCase();\n return id.startsWith('ltx23-') || id.startsWith('ltx2.3-');\n })\n .sort((a, b) => (b.workerCount || 0) - (a.workerCount || 0));\n\nif (ltx23Models.length === 0) {\n throw new Error('No LTX 2.3 models are available right now. Try again later or open the video model dropdown to choose another family.');\n}\n\nconst bestModel = ltx23Models[0];\n\nreturn {\n json: {\n modelId: bestModel.id,\n modelName: bestModel.name || bestModel.id,\n workerCount: bestModel.workerCount || 0,\n recommendedSteps: bestModel.recommendedSettings?.steps || 20,\n recommendedGuidance: bestModel.recommendedSettings?.guidance || 3.5,\n frames: 113,\n fps: 24\n }\n};"
},
"id": "select-ltx23-model",
"name": "Select LTX 2.3 Model",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
700,
280
],
"notes": "Picks the LTX 2.3 model with the most workers"
},
{
"parameters": {
"resource": "video",
"operation": "generate",
"videoModelId": "={{ $json.modelId }}",
"videoPositivePrompt": "A cinematic tracking shot through a rain-soaked cyberpunk market at night, volumetric lighting, reflective puddles, smooth camera motion",
"videoNetwork": "fast",
"videoAdditionalFields": {
"videoSettings": {
"negativePrompt": "blurry, noisy, warped faces, jitter, flicker",
"numberOfMedia": 1,
"frames": "={{ $json.frames }}",
"duration": 5,
"fps": "={{ $json.fps }}",
"steps": "={{ $json.recommendedSteps }}",
"guidance": "={{ $json.recommendedGuidance }}"
},
"output": {
"downloadVideos": true,
"outputFormat": "mp4",
"width": 768,
"height": 768
},
"advanced": {
"tokenType": "spark",
"timeout": 600000,
"autoResizeVideoAssets": true
}
}
},
"id": "generate-ltx23-video",
"name": "Generate LTX 2.3 Video",
"type": "n8n-nodes-sogni.sogni",
"typeVersion": 1,
"position": [
960,
280
],
"notes": "Uses the selected LTX 2.3 model for text-to-video generation"
}
],
"connections": {
"When clicking 'Test workflow'": {
"main": [
[
{
"node": "Get All Models",
"type": "main",
"index": 0
}
]
]
},
"Get All Models": {
"main": [
[
{
"node": "Select LTX 2.3 Model",
"type": "main",
"index": 0
}
]
]
},
"Select LTX 2.3 Model": {
"main": [
[
{
"node": "Generate LTX 2.3 Video",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"tags": [],
"triggerCount": 0,
"meta": {
"templateCredsSetupCompleted": false
}
}
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About this workflow
LTX 2.3 Dynamic Text-to-Video. Uses n8n-nodes-sogni. Event-driven trigger; 5 nodes.
Source: https://github.com/Sogni-AI/n8n-nodes-sogni/blob/7076f6b87ded4436b16ef4e077542b85fec77778/examples/11-ltx23-dynamic-text-to-video.json — original creator credit. Request a take-down →
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