{"workflow":{"id":13778,"name":"Generate hyper-realistic images from Telegram via Gemini Nano Banana 2","views":193,"recentViews":1,"totalViews":193,"createdAt":"2026-02-28T13:32:41.937Z","description":"## Generate hyper-realistic images from Telegram messages with Nano Banana 2\n\nSend any image description to your Telegram bot and receive a hyper-realistic AI-generated photo back in seconds. \n\n### How it works\n1. A user sends a natural language image request to the Telegram bot\n2. The bot confirms the receipt\n3. Gemini Pro 3 expands the request into a detailed JSON prompt: focal length, aperture, ISO, lighting behavior, material physics, etc.\n4. Gemini Flash generates the image and returns it as a base64 string\n5. The image is sent back as a photo in the same Telegram chat\n\n### Setup steps\n1. **Telegram** — Create a bot via @BotFather, copy the token, and add it as a Telegram credential in n8n. Connect it to the Telegram Trigger node and both Telegram send nodes\n2. **OpenRouter** — Add your OpenRouter API key (or any other tool you use) as a credential in n8n. Connect it to the Expand to JSON Prompt and Generate Image nodes.\n3. Activate the workflow and send your bot an image description to test\n\n### Optional\nModify the config node with your system prompt preferences for a more diverse pool of results.","workflow":{"meta":{"instanceId":"506e1eb999b7a8cf86103921b3e1b94e371534d9bae39d44754933678dc6697d"},"nodes":[{"id":"f1b97dbf-fd7e-4f88-ac2d-71f124559ce4","name":"Telegram Trigger","type":"n8n-nodes-base.telegramTrigger","position":[-1200,304],"webhookId":"873485d0-ccc1-438e-83e9-9ee316f5240f","parameters":{"updates":["message"],"additionalFields":{}},"credentials":{"telegramApi":{"id":"oidgpxSPzvIVyYWw","name":"Telegram (Dummy Account)"}},"typeVersion":1.1},{"id":"29bae06a-2e7a-4a20-8e14-90ecbd1c54ea","name":"Send Acknowledgment","type":"n8n-nodes-base.telegram","position":[-960,304],"webhookId":"3abc6100-ccef-453a-b476-4a9870b35305","parameters":{"text":"🎨 Got it! Generating your image, give me a moment...","chatId":"={{ $json.message.chat.id }}","additionalFields":{"appendAttribution":false}},"credentials":{"telegramApi":{"id":"oidgpxSPzvIVyYWw","name":"Telegram (Dummy Account)"}},"retryOnFail":true,"typeVersion":1.2},{"id":"6a34ee3a-10e1-4d22-8502-f4738c50f8cf","name":"Config","type":"n8n-nodes-base.set","position":[-720,304],"parameters":{"options":{},"assignments":{"assignments":[{"id":"cfg-01","name":"chatId","type":"string","value":"={{ $('Telegram Trigger').item.json.message.chat.id }}"},{"id":"cfg-02","name":"userMessage","type":"string","value":"={{ $('Telegram Trigger').item.json.message.text }}"},{"id":"cfg-03","name":"systemPrompt","type":"string","value":"You are an expert image prompt engineer for Nano Banana 2 (Gemini 3.1 Flash Image Preview). Convert any user request into a Dense Narrative JSON prompt that produces hyper-realistic, unretouched images by neutralizing the model's native AI biases. Output ONLY a valid JSON object — no markdown fences, no explanation.\n\nREQUIRED JSON STRUCTURE:\n{\n  \"prompt\": \"single dense paragraph — see PROMPT RULES\",\n  \"negative_prompt\": \"long comma-separated list — see NEGATIVE PROMPT RULES\",\n  \"settings\": {\n    \"resolution\": \"1024x1792 portrait / 1792x1024 landscape / 1024x1024 square\",\n    \"style\": \"e.g. photorealistic, documentary realism, candid amateur\",\n    \"lighting\": \"describe what the light physically DOES to surfaces, not just the source name\",\n    \"camera_angle\": \"e.g. eye level, slight high angle, low angle\",\n    \"depth_of_field\": \"e.g. shallow — subject sharp, background bokeh\",\n    \"quality\": \"e.g. high detail, unretouched skin, visible film grain\"\n  }\n}\n\nPROMPT RULES — apply ALL:\n1. CAMERA MATH: Always specify exact focal length, aperture, ISO. Example: 85mm lens, f/1.8, ISO 400. Keep ISO below 800 — higher values trigger digital art bias.\n2. EXPLICIT IMPERFECTIONS (humans): Include 1–2 subtle, natural details that vary per subject. Choose from: visible pores, slight asymmetry, natural skin texture, soft under-eye shadows, peach fuzz. Avoid stacking multiple flaws — one or two well-chosen details are enough for realism.\n3. LIGHTING BEHAVIOR: Describe what the light does, not what it is. Bad: natural light. Good: soft overcast daylight diffusing evenly across the face, eliminating harsh shadows while leaving skin texture fully visible.\n4. DIRECT COMMANDS INSIDE PROMPT: End the prompt with one light directive. Example: Render natural skin texture as captured by the lens. Do not apply beauty filters or artificial smoothing.\n5. NON-HUMAN SUBJECTS: Replace skin logic with material physics. Define surface texture (micro-scratches on anodized aluminum), light interaction (subsurface scattering through translucent petals), wear-and-tear (worn leather edges). For labels: specify exact text string and font style.\n6. LENS IMPERFECTIONS (embed when relevant): subtle chromatic aberration at high-contrast edges, slight vignetting in corners, minor barrel distortion for wide angle.\n7. NOISE TRAP: Do NOT use ISO above 800 or heavy film grain in high-contrast scenes — this triggers illustration bias. Use physical subject imperfections instead.\n\nNEGATIVE PROMPT RULES — always include ALL these blockers:\nSkin/beauty: plastic skin, airbrushed texture, skin smoothing, beautification filters, heavy makeup, unrealistic skin, porcelain skin\nAnatomy averaging: anatomy normalization, body proportion averaging, dataset-average anatomy, editorial fashion proportions, idealized proportions\nOptical distortions: wide-angle distortion not in reference, lens compression not in reference, depth flattening, cropping that removes volume, mirror selfies, reflections\nGeneral: blurry, low resolution, distorted face, extra fingers, overexposed, cartoon, CGI, 3D render, illustration, painting, oversaturated colors, watermark\nStyle drift: stylized realism, digital art, airbrushed, stock photo look, studio backdrop\n\nADAPTIVE BEHAVIOR:\n- Multi-panel requests: add multi_panel_layout array with panel, pose, action per panel.\n- Reference image provided: add image_input array with URL(s).\n- Drop fields that do not apply. A landscape has no outfit block. A product shot has no skin block."}]}},"typeVersion":3.4},{"id":"a105cf67-99c8-49ef-9a28-27d0dc47279b","name":"Expand to JSON Prompt","type":"n8n-nodes-base.httpRequest","onError":"continueErrorOutput","position":[-480,304],"parameters":{"url":"https://openrouter.ai/api/v1/chat/completions","method":"POST","options":{},"jsonBody":"={{ JSON.stringify({ model: 'google/gemini-3.1-pro-preview', messages: [{ role: 'system', content: $json.systemPrompt }, { role: 'user', content: $json.userMessage }], max_tokens: 4000 }) }}\n\n","sendBody":true,"specifyBody":"json","authentication":"predefinedCredentialType","nodeCredentialType":"openRouterApi"},"credentials":{"openRouterApi":{"id":"n7lLJrAKdBPhRo5C","name":"OpenRouter account (Dummy)"}},"retryOnFail":true,"typeVersion":4.2},{"id":"f7fe310b-8a01-4e96-a1c1-9de2eb002077","name":"Parse and Prepare","type":"n8n-nodes-base.code","position":[-240,288],"parameters":{"jsCode":"const content = $json.choices[0].message.content;\nconst chatId = $('Config').first().json.chatId;\n\nconst cleaned = content\n  .replace(/^```(?:json)?\\s*/i, '')\n  .replace(/```\\s*$/i, '')\n  .trim();\n\nlet promptObj;\ntry {\n  promptObj = JSON.parse(cleaned);\n} catch(e) {\n  throw new Error('LLM did not return valid JSON. Got: ' + cleaned.slice(0, 300));\n}\n\nif (!promptObj.prompt) throw new Error('LLM response missing the \"prompt\" field');\n\nreturn [{ json: {\n  chatId: String(chatId),\n  imagePrompt: JSON.stringify(promptObj)\n} }];"},"typeVersion":2},{"id":"510871c8-ad50-4d25-89b7-48a2f6e80ccb","name":"Generate Image","type":"n8n-nodes-base.httpRequest","onError":"continueErrorOutput","position":[-48,272],"parameters":{"url":"https://openrouter.ai/api/v1/chat/completions","method":"POST","options":{},"jsonBody":"={{ JSON.stringify({ model: 'google/gemini-3.1-flash-image-preview', messages: [{ role: 'user', content: 'Generate an image: ' + $json.imagePrompt }], modalities: ['image', 'text'], max_tokens: 2000 }) }}","sendBody":true,"specifyBody":"json","authentication":"predefinedCredentialType","nodeCredentialType":"openRouterApi"},"credentials":{"openRouterApi":{"id":"n7lLJrAKdBPhRo5C","name":"OpenRouter account (Dummy)"}},"retryOnFail":true,"typeVersion":4.2},{"id":"8f360468-f104-4292-8670-8f9faf78f069","name":"Send Photo to Telegram","type":"n8n-nodes-base.telegram","position":[576,128],"webhookId":"dc93a836-8788-47e4-994f-a8c02354f3ac","parameters":{"chatId":"={{ $('Telegram Trigger').item.json.message.chat.id }}","operation":"sendPhoto","binaryData":true,"additionalFields":{"caption":"✅ Here's your generated image!"}},"credentials":{"telegramApi":{"id":"oidgpxSPzvIVyYWw","name":"Telegram (Dummy Account)"}},"typeVersion":1.2},{"id":"1483b797-4b7f-403d-8923-29d31870f9fd","name":"Overview","type":"n8n-nodes-base.stickyNote","position":[-1904,0],"parameters":{"width":456,"height":752,"content":"## Generate hyper-realistic images from Telegram messages with Nano Banana 2\n\nSend any image description to your Telegram bot and receive a hyper-realistic AI-generated photo back in seconds. The workflow uses a two-step AI pipeline: Gemini Pro first transforms your plain-text request into a structured Dense Narrative JSON prompt (camera math, lighting physics, imperfection rules), then Gemini Flash generates the final image synchronously via OpenRouter.\n\n### How it works\n1. A user sends a natural language image request to the Telegram bot\n2. The bot immediately confirms receipt\n3. Gemini Pro expands the request into a detailed JSON prompt: focal length, aperture, ISO, lighting behavior, material physics, etc.\n4. Gemini Flash generates the image and returns it as a base64 string in the same API response\n5. The image is decoded, converted to a binary file, and sent back as a photo in the same Telegram chat\n\n### Setup steps\n1. **Telegram** — Create a bot via @BotFather, copy the token, and add it as a Telegram credential in n8n. Connect it to the Telegram Trigger node and both Telegram send nodes\n2. **OpenRouter** — Add your OpenRouter API key as a credential in n8n. Connect it to the Expand to JSON Prompt and Generate Image nodes.\n3. Activate the workflow and send your bot an image description to test"},"typeVersion":1},{"id":"64f1d8c3-89ad-4252-aa45-7dfe9356f0f5","name":"Section 1","type":"n8n-nodes-base.stickyNote","position":[-1216,480],"parameters":{"color":7,"width":360,"height":124,"content":"## Trigger & Acknowledgment\nReceives the Telegram message and immediately sends a confirmation reply."},"typeVersion":1},{"id":"f08bef29-4a29-458c-a85a-84da474ada1c","name":"Section 2","type":"n8n-nodes-base.stickyNote","position":[-752,480],"parameters":{"color":7,"width":564,"height":124,"content":"## Prompt Engineering\nThe Config node stores the system prompt and user input. Gemini Pro expands the plain-text request into a full Dense Narrative JSON prompt following the Nano Banana 2 schema."},"typeVersion":1},{"id":"02ebc309-9558-4ec0-8e67-39a14584533b","name":"Upload to Google Drive","type":"n8n-nodes-base.googleDrive","position":[576,288],"parameters":{"name":"=image.png","driveId":{"__rl":true,"mode":"list","value":"My Drive","cachedResultUrl":"https://drive.google.com/drive/my-drive","cachedResultName":"My Drive"},"options":{},"folderId":{"__rl":true,"mode":"list","value":"1CYgRUELLCpM1tHx5cM6hBpf5RdfxItR0","cachedResultUrl":"https://drive.google.com/drive/folders/1CYgRUELLCpM1tHx5cM6hBpf5RdfxItR0","cachedResultName":"AI images"}},"credentials":{"googleDriveOAuth2Api":{"id":"0tTY9psJ9CGds01o","name":"Google Drive Dummy Account"}},"typeVersion":3},{"id":"c1c6485c-df10-419f-831d-27f23fca6ab4","name":"Send Failure Notification","type":"n8n-nodes-base.telegram","position":[224,400],"webhookId":"75e31dd7-69b3-4621-8adf-e33f6cd47f7c","parameters":{"chatId":"={{ $json.chatId }}","operation":"sendPhoto","binaryData":true,"additionalFields":{"caption":"❌ Image generation failed! Please try again."}},"credentials":{"telegramApi":{"id":"oidgpxSPzvIVyYWw","name":"Telegram (Dummy Account)"}},"typeVersion":1.2},{"id":"50c265f8-917b-477d-9574-ab13fa9b22d9","name":"Send Failure Notification1","type":"n8n-nodes-base.telegram","position":[-256,624],"webhookId":"b7876c85-90c8-40d6-8d72-cd2de471a7dd","parameters":{"chatId":"={{ $json.chatId }}","operation":"sendPhoto","binaryData":true,"additionalFields":{"caption":"❌ Image generation failed! Please try again."}},"credentials":{"telegramApi":{"id":"oidgpxSPzvIVyYWw","name":"Telegram (Dummy Account)"}},"typeVersion":1.2},{"id":"2d4a3c45-86b1-4e61-8a21-599680b2ef3f","name":"Convert to File","type":"n8n-nodes-base.convertToFile","position":[368,176],"parameters":{"options":{},"operation":"toBinary","sourceProperty":"image_file"},"typeVersion":1.1},{"id":"54e03022-8bcb-455e-b659-ac3a5d0ec35a","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-256,-16],"parameters":{"color":7,"width":944,"height":128,"content":"## Image Generation & Delivery\nGemini Flash generates the image via OpenRouter and returns a base64 URL. The Get Image URL node extracts it, Convert to File decodes it to binary, then the image is sent directly to Telegram and uploaded to Google Drive."},"typeVersion":1},{"id":"5e44f480-020d-4e2b-875f-9ee7432405c0","name":"Get Image URL","type":"n8n-nodes-base.set","position":[192,176],"parameters":{"options":{},"assignments":{"assignments":[{"id":"4409adb8-cde7-450d-82b3-f9224b32787a","name":"image_file","type":"string","value":"={{ $json.choices[0].message.images[0].image_url.url.split(\",\")[1] }}"}]}},"typeVersion":3.4}],"pinData":{},"connections":{"Config":{"main":[[{"node":"Expand to JSON Prompt","type":"main","index":0}]]},"Get Image URL":{"main":[[{"node":"Convert to File","type":"main","index":0}]]},"Generate Image":{"main":[[{"node":"Get Image URL","type":"main","index":0}],[{"node":"Send Failure Notification","type":"main","index":0}]]},"Convert to File":{"main":[[{"node":"Send Photo to Telegram","type":"main","index":0},{"node":"Upload to Google Drive","type":"main","index":0}]]},"Telegram Trigger":{"main":[[{"node":"Send Acknowledgment","type":"main","index":0}]]},"Parse and Prepare":{"main":[[{"node":"Generate Image","type":"main","index":0}]]},"Send Acknowledgment":{"main":[[{"node":"Config","type":"main","index":0}]]},"Expand to JSON Prompt":{"main":[[{"node":"Parse and Prepare","type":"main","index":0}],[{"node":"Send Failure Notification1","type":"main","index":0}]]},"Upload to Google Drive":{"main":[[]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":16,"nodeTypes":{"n8n-nodes-base.set":{"count":2},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.telegram":{"count":4},"n8n-nodes-base.stickyNote":{"count":4},"n8n-nodes-base.googleDrive":{"count":1},"n8n-nodes-base.httpRequest":{"count":2},"n8n-nodes-base.convertToFile":{"count":1},"n8n-nodes-base.telegramTrigger":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Dahiana","username":"mssporto","bio":"No-Code Specialist with more than 10 years of experience in Digital Marketing. Currently working with Bubble. Webflow, AI, Agents and N8N.","verified":true,"links":["https://dahiana.work/"],"avatar":"https://gravatar.com/avatar/cbb2c52ceb5284c7d5f2ce1a4911a94bfecc760e73490fd6bd15d3f2f6db6988?r=pg&d=retro&size=200"},"nodes":[{"id":19,"icon":"file:httprequest.svg","name":"n8n-nodes-base.httpRequest","codex":{"data":{"alias":["API","Request","URL","Build","cURL"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to 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