This workflow follows the Form Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "ComfyUI: wan 2.2 14b - text 2 video",
"nodes": [
{
"parameters": {
"formTitle": "Upload reference images",
"formFields": {
"values": [
{
"fieldLabel": "prompt",
"fieldType": "textarea",
"placeholder": "what should happen on the video",
"requiredField": true
},
{
"fieldLabel": "Negative prompt",
"placeholder": "optional"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.2,
"position": [
-640,
-60
],
"id": "0d1fcd46-f8f4-427c-9907-71b8b64d77b3",
"name": "On form submission"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "7d55d6da-a78c-4a28-9343-0ea9035a0aa3",
"name": "COMFY_URL",
"value": "={{ ((u) => { let s = u.trim(); if (!/^https?:\\/\\//i.test(s)) s = 'https://' + s; const parts = s.split('/'); return parts[0] + '//' + parts[2]; })($json.comfyui_url) }}",
"type": "string"
},
{
"id": "c491a696-6081-4e42-98f5-0c3b75c16edc",
"name": "NEGATIVE_PROMPT",
"value": "={{ $('On form submission').item.json['Negative prompt'] || $json.negative_prompt }}",
"type": "string"
},
{
"id": "e179a11b-ab0b-4772-b151-10b0b7d49a8c",
"name": "PROMPT",
"value": "={{ $('On form submission').item.json.prompt }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-140,
-60
],
"id": "bf6f0f6b-1c91-4d15-b628-682dc8fa5e8a",
"name": "Setup defaults"
},
{
"parameters": {
"url": "={{ $('Setup defaults').first().json.COMFY_URL }}/history/{{ $('Start the workflow with ComfyUI').first().json.prompt_id }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
480,
-60
],
"id": "6852c01c-1b88-44ef-9668-01ab6e3bea05",
"name": "Get video generation status",
"retryOnFail": true
},
{
"parameters": {
"amount": 10
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
280,
-60
],
"id": "ef85797e-33d5-4df8-9839-a391b59d5b38",
"name": "Wait until the video gets generated"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "5e89df7d-4c0e-4bd4-8a84-b1e28bdb1f7e",
"leftValue": "={{ $json.keys().length > 0 && $json[$('Start the workflow with ComfyUI').item.json.prompt_id] && $json[$('Start the workflow with ComfyUI').item.json.prompt_id].status.completed }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
},
{
"id": "354e3206-bbe3-481d-876b-255eed39f7cf",
"leftValue": "",
"rightValue": "",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
700,
-60
],
"id": "a3e3063e-be10-4a04-9485-f8d2138304b2",
"name": "Completed?"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "9bfcdffd-8c7c-407d-b95c-83f8aa104845",
"leftValue": "={{ $json[$('Start the workflow with ComfyUI').item.json.prompt_id].status.status_str === 'success' }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
980,
-80
],
"id": "41f90dd6-3849-4bdc-b6e5-d9d653eda93a",
"name": "Success?"
},
{
"parameters": {
"url": "={{ $('Setup defaults').first().json.COMFY_URL }}/view",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "type",
"value": "output"
},
{
"name": "filename",
"value": "={{ $('Get video generation status').last().json[$('Start the workflow with ComfyUI').item.json.prompt_id].outputs.values().map(item => item.images).flat(Infinity).find(item => item.type === 'output').filename }}"
},
{
"name": "subfolder",
"value": "={{ $('Get video generation status').last().json[$('Start the workflow with ComfyUI').item.json.prompt_id].outputs.values().map(item => item.images).flat(Infinity).find(item => item.type === 'output').subfolder }}"
}
]
},
"sendBody": true,
"contentType": "form-urlencoded",
"bodyParameters": {
"parameters": [
{}
]
},
"options": {
"redirect": {
"redirect": {}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1220,
-240
],
"id": "29bbb40d-bee6-4125-9483-8aee0d75cc08",
"name": "HTTP Request"
},
{
"parameters": {
"errorMessage": "An error occoured while generating the image"
},
"type": "n8n-nodes-base.stopAndError",
"typeVersion": 1,
"position": [
1220,
20
],
"id": "07743972-4f0e-407e-a6c2-0273578c80a3",
"name": "Stop and Error"
},
{
"parameters": {
"content": "# Configure me",
"height": 420,
"width": 260,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-460,
-240
],
"id": "1ea93eb9-a495-4b5f-8423-04d7cd406abe",
"name": "Sticky Note"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "1ece166a-0536-4c3e-bf1f-e0d4ff300169",
"name": "workflow",
"value": "={\n \"6\": {\n \"inputs\": {\n \"text\": \"${PROMPT}\",\n \"clip\": [\n \"38\",\n 0\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Positive Prompt)\"\n }\n },\n \"7\": {\n \"inputs\": {\n \"text\": \"${NEGATIVE_PROMPT}\",\n \"clip\": [\n \"38\",\n 0\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Negative Prompt)\"\n }\n },\n \"8\": {\n \"inputs\": {\n \"samples\": [\n \"58\",\n 0\n ],\n \"vae\": [\n \"39\",\n 0\n ]\n },\n \"class_type\": \"VAEDecode\",\n \"_meta\": {\n \"title\": \"VAE Decode\"\n }\n },\n \"37\": {\n \"inputs\": {\n \"unet_name\": \"wan2.2_t2v_high_noise_14B_fp16.safetensors\",\n \"weight_dtype\": \"default\"\n },\n \"class_type\": \"UNETLoader\",\n \"_meta\": {\n \"title\": \"Load Diffusion Model\"\n }\n },\n \"38\": {\n \"inputs\": {\n \"clip_name\": \"umt5_xxl_fp8_e4m3fn_scaled.safetensors\",\n \"type\": \"wan\",\n \"device\": \"default\"\n },\n \"class_type\": \"CLIPLoader\",\n \"_meta\": {\n \"title\": \"Load CLIP\"\n }\n },\n \"39\": {\n \"inputs\": {\n \"vae_name\": \"wan_2.1_vae.safetensors\"\n },\n \"class_type\": \"VAELoader\",\n \"_meta\": {\n \"title\": \"Load VAE\"\n }\n },\n \"54\": {\n \"inputs\": {\n \"shift\": 8.000000000000002,\n \"model\": [\n \"37\",\n 0\n ]\n },\n \"class_type\": \"ModelSamplingSD3\",\n \"_meta\": {\n \"title\": \"ModelSamplingSD3\"\n }\n },\n \"55\": {\n \"inputs\": {\n \"shift\": 8,\n \"model\": [\n \"56\",\n 0\n ]\n },\n \"class_type\": \"ModelSamplingSD3\",\n \"_meta\": {\n \"title\": \"ModelSamplingSD3\"\n }\n },\n \"56\": {\n \"inputs\": {\n \"unet_name\": \"wan2.2_t2v_low_noise_14B_fp16.safetensors\",\n \"weight_dtype\": \"default\"\n },\n \"class_type\": \"UNETLoader\",\n \"_meta\": {\n \"title\": \"Load Diffusion Model\"\n }\n },\n \"57\": {\n \"inputs\": {\n \"add_noise\": \"enable\",\n \"noise_seed\": {{ (() => {\n const max = 0xFFFFFFFF - 1;\n const seed = Math.floor(Math.random() * max) + 1;\n return seed;\n})() }},\n \"steps\": 20,\n \"cfg\": 3.5,\n \"sampler_name\": \"euler\",\n \"scheduler\": \"simple\",\n \"start_at_step\": 0,\n \"end_at_step\": 10,\n \"return_with_leftover_noise\": \"enable\",\n \"model\": [\n \"54\",\n 0\n ],\n \"positive\": [\n \"6\",\n 0\n ],\n \"negative\": [\n \"7\",\n 0\n ],\n \"latent_image\": [\n \"59\",\n 0\n ]\n },\n \"class_type\": \"KSamplerAdvanced\",\n \"_meta\": {\n \"title\": \"KSampler (Advanced)\"\n }\n },\n \"58\": {\n \"inputs\": {\n \"add_noise\": \"disable\",\n \"noise_seed\": 0,\n \"steps\": 20,\n \"cfg\": 3.5,\n \"sampler_name\": \"euler\",\n \"scheduler\": \"simple\",\n \"start_at_step\": 10,\n \"end_at_step\": 10000,\n \"return_with_leftover_noise\": \"disable\",\n \"model\": [\n \"55\",\n 0\n ],\n \"positive\": [\n \"6\",\n 0\n ],\n \"negative\": [\n \"7\",\n 0\n ],\n \"latent_image\": [\n \"57\",\n 0\n ]\n },\n \"class_type\": \"KSamplerAdvanced\",\n \"_meta\": {\n \"title\": \"KSampler (Advanced)\"\n }\n },\n \"59\": {\n \"inputs\": {\n \"width\": 1280,\n \"height\": 704,\n \"length\": 81,\n \"batch_size\": 1\n },\n \"class_type\": \"EmptyHunyuanLatentVideo\",\n \"_meta\": {\n \"title\": \"EmptyHunyuanLatentVideo\"\n }\n },\n \"60\": {\n \"inputs\": {\n \"fps\": 16,\n \"images\": [\n \"8\",\n 0\n ]\n },\n \"class_type\": \"CreateVideo\",\n \"_meta\": {\n \"title\": \"Create Video\"\n }\n },\n \"61\": {\n \"inputs\": {\n \"filename_prefix\": \"video/ComfyUI\",\n \"format\": \"auto\",\n \"codec\": \"auto\",\n \"video\": [\n \"60\",\n 0\n ]\n },\n \"class_type\": \"SaveVideo\",\n \"_meta\": {\n \"title\": \"Save Video\"\n }\n }\n}",
"type": "string"
},
{
"id": "92df0709-c03c-400e-b2ac-1a8e3aff7416",
"name": "comfyui_url",
"value": "YOUR_COMFYUI_URL",
"type": "string"
},
{
"id": "fb621130-6eac-41ab-b514-576a0275f6b1",
"name": "negative_prompt",
"value": "\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-380,
-60
],
"id": "0d28019c-dab7-4b1c-96e7-e770e044bf98",
"name": "Configure me"
},
{
"parameters": {
"method": "POST",
"url": "={{ $('Setup defaults').first().json.COMFY_URL }}/prompt",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"client_id\": \"n8n\",\n \"prompt\": {{ \n\n $('Configure me').item.json.workflow\n .replace('${PROMPT}', $('Setup defaults').first().json.PROMPT)\n .replace('${NEGATIVE_PROMPT}', $('Setup defaults').first().json.NEGATIVE_PROMPT) \n\n}}\n}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
40,
-60
],
"id": "f03fab10-b7b1-4d08-8ef4-f109286f130f",
"name": "Start the workflow with ComfyUI"
},
{
"parameters": {
"content": "# \ud83d\udcda [Join our Skool community for support, premium content and more!](https://www.skool.com/ai-agents-az/about?w9)\n\n## Get premium variations of this workflow!\n\n## Be part of a growing community and help us create more content like this",
"height": 300,
"width": 700,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-460,
-580
],
"id": "e69bfaf9-6ebd-4939-aedb-fef81baa534a",
"name": "Sticky Note16"
}
],
"connections": {
"On form submission": {
"main": [
[
{
"node": "Configure me",
"type": "main",
"index": 0
}
]
]
},
"Setup defaults": {
"main": [
[
{
"node": "Start the workflow with ComfyUI",
"type": "main",
"index": 0
}
]
]
},
"Get video generation status": {
"main": [
[
{
"node": "Completed?",
"type": "main",
"index": 0
}
]
]
},
"Wait until the video gets generated": {
"main": [
[
{
"node": "Get video generation status",
"type": "main",
"index": 0
}
]
]
},
"Completed?": {
"main": [
[
{
"node": "Success?",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait until the video gets generated",
"type": "main",
"index": 0
}
]
]
},
"Success?": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
],
[
{
"node": "Stop and Error",
"type": "main",
"index": 0
}
]
]
},
"Configure me": {
"main": [
[
{
"node": "Setup defaults",
"type": "main",
"index": 0
}
]
]
},
"Start the workflow with ComfyUI": {
"main": [
[
{
"node": "Wait until the video gets generated",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "bc644c06-4d2c-480a-b2d5-246f136837b7",
"id": "kQz7bt4LsJxe0z4A",
"tags": []
}
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About this workflow
ComfyUI: wan 2.2 14b - text 2 video. Uses formTrigger, httpRequest, stopAndError. Event-driven trigger; 12 nodes.
Source: https://github.com/gyoridavid/ai_agents_az/blob/main/episode_20/n8n_wan_2.2_14b_t2v.json — original creator credit. Request a take-down →
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