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  "workflow": {
    "id": 5031,
    "name": "AI text-to-image for Telegram (Gemini + Hugging Face FLUX)",
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    "createdAt": "2025-06-18T19:49:11.964Z",
    "description": "Turn text prompts into stunning AI-generated images—automatically!\n\n## What it does?\n\nThis workflow lets your Telegram bot:\n\n1. Receive a user’s image description (e.g., \"a cyberpunk cat wearing sunglasses\").\n2. Refine the prompt using AI (Gemini/OpenAI) for better results.\n3. Generate the image via Hugging Face’s free API (no costs!).\n4. Send the final image back to the user—all in seconds!\n\n## How It Works?\n- **Telegram Trigger**\nListens for user messages (e.g., “/image a futuristic cityscape”).\n\n- **AI Prompt Refinement**\nUses Google Gemini (or OpenAI) to optimize the input for the image model.\n\n- **AI Image Generation**\nCalls Hugging Face’s Together API (free tier) to create the image.\nSupports models like black-forest-labs/FLUX.1-schnell.\n\n- **Auto-Delivery**\nDownloads the image and sends it in the Telegram chat.\n\n## Setup Guide (3 Minutes!)\n\n### 1. **Prerequisites**\n\n- An n8n instance (cloud/self-hosted).\n- A Telegram bot token (get it from @BotFather).\n- A Hugging Face API token (free: https://huggingface.co/).\n\n### 2. **Installation**\n\n- Import the JSON template into n8n.\n- Replace placeholders:\n- Telegram API token (in the Telegram nodes).\n- Hugging Face API token (in the HTTP Request node).\n\n(Optional) Swap Gemini for OpenAI if preferred.\n\n### 3. **Done!**\n\nActivate the workflow—your bot is now ready to create stunning images! Simply send a command like:\n“Hey, generate an image of a warrior standing on top of a mountain.”\n\nYou can keep your prompt casual or get as detailed as you like. The AI will interpret your request and craft a full, descriptive prompt for image generation. For example:\n“Generate an image of a warrior wearing tattered clothes, chest out, standing on a snowy mountain.”\n\n## Why Use This Template?\n1. 100% Free – Uses Hugging Face’s free tier (no OpenAI costs).\n2. No Coding – Fully visual n8n workflow.\n3. Customizable – Swap AI models (Gemini/OpenAI) or image APIs.\n4. Instant Results – Users get images in seconds.",
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    "status": "published",
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        "displayName": "Telegram",
        "typeVersion": 1,
        "nodeCategories": [
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            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 50,
        "icon": "file:telegram.svg",
        "name": "n8n-nodes-base.telegramTrigger",
        "codex": {
          "data": {
            "resources": {
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                {
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                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/",
                  "icon": "💬",
                  "label": "Creating Telegram Bots with n8n, a No-Code Platform"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.telegramtrigger/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/"
                }
              ]
            },
            "categories": [
              "Communication"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "Telegram Trigger"
        },
        "iconData": {
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        "nodeCategories": [
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            "id": 6,
            "name": "Communication"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
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            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
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            "name": "Core Nodes"
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        "icon": "fa:robot",
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              "Conversational",
              "Plan and Execute",
              "ReAct",
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                }
              ]
            },
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              "Langchain"
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            "subcategories": {
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                "Root Nodes"
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          }
        },
        "group": "[\"transform\"]",
        "defaults": {
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          "color": "#404040"
        },
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          "type": "icon"
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        "displayName": "AI Agent",
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            "name": "AI"
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          {
            "id": 26,
            "name": "Langchain"
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        ]
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        "icon": "file:google.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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                "Root Nodes"
              ],
              "Language Models": [
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              ]
            }
          }
        },
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        "displayName": "Google Gemini Chat Model",
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            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 31,
        "name": "Content Creation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}