Téléchargement, publication et FLUX Kontext
Ceci est unDesign, AI, Marketingworkflow d'automatisation du domainecontenant 27 nœuds.Utilise principalement des nœuds comme If, Set, Wait, Merge, Github, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Créer des images à personnage cohérent avec FLUX Kontext et les publier sur les médias sociaux par téléversement
- •Personal Access Token GitHub
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
Nœuds utilisés (27)
{
"id": "AdtCs47Lt1Wtf2Dt",
"meta": {
"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
"templateCredsSetupCompleted": true
},
"name": "Upload-Post And FLUX Kontext",
"tags": [],
"nodes": [
{
"id": "ed7d240f-9181-4f23-9e3a-24e7886c7e31",
"name": "Lors du clic sur 'Exécuter le workflow'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-180,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4656ae65-d58b-4126-ada3-eda97fde5c4e",
"name": "Est prêt ?",
"type": "n8n-nodes-base.if",
"position": [
500,
400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "3cf5b451-9ff5-4c2a-864f-9aa7d286871a",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "Ready"
},
{
"id": "a9b6d102-bb38-443f-a204-1c07476cb360",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $runIndex }}",
"rightValue": 5
}
]
}
},
"typeVersion": 2.2
},
{
"id": "f8dbc367-1052-4548-b3b8-33f6ede4d0ba",
"name": "Vérifier l'état FLUX",
"type": "n8n-nodes-base.httpRequest",
"position": [
340,
400
],
"parameters": {
"url": "https://api.bfl.ml/v1/get_result",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.id }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "4eQN9wBw8SniKcPw",
"name": "bfl-FLUX"
}
},
"typeVersion": 4.2
},
{
"id": "9624cdc6-1f7b-459f-b16a-eab69d23b45c",
"name": "Note adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
320
],
"parameters": {
"color": 7,
"width": 862,
"height": 282,
"content": "# Image processing part"
},
"typeVersion": 1
},
{
"id": "c6393bc7-6b7a-4a25-a524-8a7bd6b2c781",
"name": "Lors de l'exécution par un autre workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-380,
400
],
"parameters": {
"inputSource": "passthrough"
},
"typeVersion": 1.1
},
{
"id": "4f3717a6-2580-4664-8182-efa1c8652589",
"name": "FLUX Kontext",
"type": "n8n-nodes-base.httpRequest",
"position": [
0,
400
],
"parameters": {
"url": "https://api.bfl.ml/v1/flux-kontext-pro",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "input_image",
"value": "={{ $json[$('When Executed by Another Workflow').first().json.binaryin] }}"
},
{
"name": "prompt",
"value": "={{ $('When Executed by Another Workflow').first().json.prompt }}"
},
{
"name": "prompt_upsampling",
"value": "={{ false }}"
},
{
"name": "output_format",
"value": "png"
},
{
"name": " aspect_ratio",
"value": "1:1"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "4eQN9wBw8SniKcPw",
"name": "bfl-FLUX"
}
},
"typeVersion": 4.2
},
{
"id": "2a48ecd4-07bc-4202-abe3-3bc0bfbfed6d",
"name": "Fusionner",
"type": "n8n-nodes-base.merge",
"position": [
420,
0
],
"parameters": {
"mode": "combine",
"options": {
"includeUnpaired": true
},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "cc5f96a9-ed87-4526-85c2-074dc5c8e166",
"name": "Attendre 2 secondes",
"type": "n8n-nodes-base.wait",
"position": [
180,
400
],
"webhookId": "3df5a762-edab-49df-ac70-be3b56545212",
"parameters": {
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "54cf0d0d-c3a0-4243-b425-ba8cdfaf1063",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
-240
],
"parameters": {
"width": 380,
"height": 260,
"content": "## Define prompts here\nPrepare an array of prompts that will be used one by one on the next steps. Update limit in the `Number of Steps` node if you need more than 5 iterations."
},
"typeVersion": 1
},
{
"id": "add02353-b31e-4990-83ad-2d936343ab7f",
"name": "Note adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
60
],
"parameters": {
"width": 380,
"height": 220,
"content": "## Load the initial image"
},
"typeVersion": 1
},
{
"id": "8367ef9f-cf00-4987-91ec-09fe3ec6918d",
"name": "Note adhésive3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-420
],
"parameters": {
"width": 260,
"height": 400,
"content": "## Initial example\n"
},
"typeVersion": 1
},
{
"id": "c4a52815-ba73-4f9c-8c44-fca40cab6440",
"name": "Obtenir le fichier depuis GitHub",
"type": "n8n-nodes-base.github",
"position": [
20,
120
],
"webhookId": "e70d0c46-6478-4c11-85a6-8b7e1f9588de",
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "teds-tech-talks"
},
"filePath": "_creators/eduard/mascot.png",
"resource": "file",
"operation": "get",
"repository": {
"__rl": true,
"mode": "name",
"value": "n8n-community-leaderboard"
},
"authentication": "oAuth2",
"asBinaryProperty": false,
"additionalParameters": {}
},
"credentials": {
"githubOAuth2Api": {
"id": "SBUgEkMg70oFZRct",
"name": "TTT GitHub account"
}
},
"typeVersion": 1.1
},
{
"id": "bb48cde8-fc79-407e-8daa-4322398d8385",
"name": "Télécharger l'image initiale",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
120
],
"parameters": {
"url": "={{ $json.download_url }}",
"options": {
"response": {
"response": {
"responseFormat": "file",
"outputPropertyName": "data0"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "ffc484fe-c183-4858-8303-8733596e2afc",
"name": "Si",
"type": "n8n-nodes-base.if",
"position": [
680,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4d3dcb8f-c435-40fd-aca6-a37647fc3a10",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $runIndex }}",
"rightValue": "={{ $json.Steps }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "6fbd6310-7596-4460-8a85-3cc0b1253509",
"name": "Nombre d'étapes",
"type": "n8n-nodes-base.set",
"position": [
220,
-120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9e3d00d0-467a-41c8-aaa1-f1d29694737c",
"name": "Steps",
"type": "number",
"value": "={{ Math.min($json.Prompts.length,5) }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "6bacc1b2-7154-428c-ab0f-76f356c59e35",
"name": "Tous les prompts",
"type": "n8n-nodes-base.set",
"position": [
20,
-120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "64e9c28e-a60a-499b-aa89-177bf952959f",
"name": "Prompts",
"type": "array",
"value": "=[\"Make this animal mascot coming out of the builing with wearing an official business suite. Preserve the exact character features and style\",\"Now make this animal mascot sitting in the terrace mediterranian cafe. Preserve the exact character features and style, but wearing hawaii shorts instead of trouses\",\"Now make this animal mascot standing on the beach with a starfish in it's hands, waring only hawaii shorts. Preserve the exact character features and style.\"]"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "913b8c79-e9ed-4221-853a-2ea6071f8c5a",
"name": "Exécuter FLUX",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
1120,
-100
],
"parameters": {
"options": {},
"workflowId": {
"__rl": true,
"mode": "list",
"value": "AdtCs47Lt1Wtf2Dt",
"cachedResultName": "Upload-Post And FLUX Kontext"
},
"workflowInputs": {
"value": {},
"schema": [],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
}
},
"typeVersion": 1.2
},
{
"id": "8c7089e9-45ea-4626-9c7d-01dc9df2137e",
"name": "Étape actuelle",
"type": "n8n-nodes-base.set",
"position": [
880,
0
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "64e9c28e-a60a-499b-aa89-177bf952959f",
"name": "prompt",
"type": "string",
"value": "={{ $json.Prompts[$runIndex] }}"
},
{
"id": "aee3c455-ced2-4520-a088-18ffaf6db11c",
"name": "binaryin",
"type": "string",
"value": "=data{{ $runIndex }}"
},
{
"id": "61cccca2-7b0c-4ea6-82f3-5dc2a377c3cb",
"name": "binaryout",
"type": "string",
"value": "=data{{ Number($runIndex)+1 }}"
},
{
"id": "0cbe4309-e6f0-4c65-87f6-95bf6609aade",
"name": "currentstep",
"type": "number",
"value": "={{ $runIndex }}"
}
]
},
"includeFields": "Prompts, Steps",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "8eb4790f-ecf9-4136-813a-a87bd1d40edd",
"name": "Fusionner3",
"type": "n8n-nodes-base.merge",
"position": [
1320,
-20
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.2
},
{
"id": "49eb0be4-4ebc-48bd-a77d-20fb02779ad1",
"name": "Note adhésive4",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-200
],
"parameters": {
"width": 860,
"height": 380,
"content": "## Iterate over prompts\n- On each step a next prompt it taken from the original array\n- Outputs from the previous FLUX Kontext request are moved forward to the subsequent generation"
},
"typeVersion": 1
},
{
"id": "361cd8ac-29be-40a9-a5f8-d12656373c96",
"name": "Note adhésive5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
220
],
"parameters": {
"color": 5,
"width": 260,
"height": 280,
"content": "## [Post several images via Upload Post](https://www.upload-post.com/?linkId=lp_144414&sourceId=post-now&tenantId=upload-post-app)\n[Click to create your own account](https://www.upload-post.com/?linkId=lp_144414&sourceId=post-now&tenantId=upload-post-app)"
},
"typeVersion": 1
},
{
"id": "af34e5a7-d1cc-446f-a210-5aa96c271640",
"name": "Publication par téléchargement",
"type": "n8n-nodes-upload-post.uploadPost",
"position": [
1120,
340
],
"parameters": {
"user": "Ed",
"title": "Testing n8n uploads with Upload Post community node hotfix and FLUX1. Kontext",
"photos": "={{ Array.from({length: $json.Steps}, (_, i) => `data${i + 1}`).join(',') }}",
"platform": [
"x"
]
},
"credentials": {
"uploadPostApi": {
"id": "xLY6thqjSJUCWssD",
"name": "Upload Post account"
}
},
"typeVersion": 1
},
{
"id": "32836601-6a7d-4e1a-9fc4-74d6f5f78187",
"name": "Image en Base64",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-200,
400
],
"parameters": {
"options": {},
"operation": "binaryToPropery",
"destinationKey": "={{ $('When Executed by Another Workflow').first().json.binaryin }}",
"binaryPropertyName": "={{ $('When Executed by Another Workflow').first().json.binaryin }}"
},
"typeVersion": 1
},
{
"id": "d40118c7-0ab6-4276-b733-22419e5521d6",
"name": "Obtenir l'image",
"type": "n8n-nodes-base.httpRequest",
"position": [
680,
400
],
"parameters": {
"url": "={{ $json.result.sample }}",
"options": {
"response": {
"response": {
"responseFormat": "file",
"outputPropertyName": "={{ $('When Executed by Another Workflow').first().json.binaryout }}"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "e35f7544-b687-4ee5-a59f-3f98d26b1d12",
"name": "Note adhésive6",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-620
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"parameters": {
"width": 260,
"height": 400,
"content": "## Step 1\n"
},
"typeVersion": 1
},
{
"id": "230498f5-69f5-4282-bb25-854720b1d536",
"name": "Note adhésive7",
"type": "n8n-nodes-base.stickyNote",
"position": [
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-620
],
"parameters": {
"width": 260,
"height": 400,
"content": "## Step 2\n"
},
"typeVersion": 1
},
{
"id": "425c3696-4532-401e-8131-78553358c8c8",
"name": "Note adhésive8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1220,
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"parameters": {
"width": 260,
"height": 400,
"content": "## Step 3\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveDataSuccessExecution": "all"
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}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Design, Intelligence Artificielle, Marketing
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Eduard
@eduardPartager ce workflow