Hochladen, Veröffentlichen und FLUX-Kontext
Dies ist ein Design, AI, Marketing-Bereich Automatisierungsworkflow mit 27 Nodes. Hauptsächlich werden If, Set, Wait, Merge, Github und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Erstelle charakterkonsistente Bilder mit FLUX Kontext und poste sie auf Social Media durch Hochladen
- •GitHub Personal Access Token
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
Verwendete Nodes (27)
{
"id": "AdtCs47Lt1Wtf2Dt",
"meta": {
"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
"templateCredsSetupCompleted": true
},
"name": "Upload-Post And FLUX Kontext",
"tags": [],
"nodes": [
{
"id": "ed7d240f-9181-4f23-9e3a-24e7886c7e31",
"name": "Bei Klick auf 'Workflow ausführen'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-180,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4656ae65-d58b-4126-ada3-eda97fde5c4e",
"name": "Bereit?",
"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": "FLUX-Status prüfen",
"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": "Notizzettel1",
"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": "Bei Ausführung durch anderen 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": "Zusammenführen",
"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": "2 Sekunden warten",
"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": "Notizzettel",
"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": "Notizzettel2",
"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": "Notizzettel3",
"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": "Datei von GitHub abrufen",
"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": "Initialbild herunterladen",
"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": "Wenn",
"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": "={{ $json.Steps }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "6fbd6310-7596-4460-8a85-3cc0b1253509",
"name": "Anzahl der Schritte",
"type": "n8n-nodes-base.set",
"position": [
220,
-120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9e3d00d0-467a-41c8-aaa1-f1d29694737c",
"name": "Steps",
"type": "number",
"value": "={{ Math.min($json.Prompts.length,5) }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "6bacc1b2-7154-428c-ab0f-76f356c59e35",
"name": "Alle 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": "FLUX ausführen",
"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": "Aktueller Schritt",
"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": "Zusammenführen3",
"type": "n8n-nodes-base.merge",
"position": [
1320,
-20
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.2
},
{
"id": "49eb0be4-4ebc-48bd-a77d-20fb02779ad1",
"name": "Notizzettel4",
"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": "Notizzettel5",
"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": "Upload-Post",
"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": "Bild zu 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": "Bild abrufen",
"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": "Notizzettel6",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-620
],
"parameters": {
"width": 260,
"height": 400,
"content": "## Step 1\n"
},
"typeVersion": 1
},
{
"id": "230498f5-69f5-4282-bb25-854720b1d536",
"name": "Notizzettel7",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
-620
],
"parameters": {
"width": 260,
"height": 400,
"content": "## Step 2\n"
},
"typeVersion": 1
},
{
"id": "425c3696-4532-401e-8131-78553358c8c8",
"name": "Notizzettel8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1220,
-620
],
"parameters": {
"width": 260,
"height": 400,
"content": "## Step 3\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveDataSuccessExecution": "all"
},
"versionId": "94bff334-aee9-4139-acb9-966013fca4ea",
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}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Design, Künstliche Intelligenz, Marketing
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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