Create AI Image and Video Posts from Telegram and Publish to 7 Social Platforms

Input: Telegram message description → Process: GPT-4o mini generates platform copy and media prompts, AtlasCloud creates image/video, Telegram approval → Output: Publish via Blotato to X, LinkedIn, Facebook, Threads, Instagram Reels, TikTok, YouTube Shorts

Who

Content operators, social media managers, or automation builders who need to syndicate image and short-form video posts across multiple platforms

You get

Send one description to a Telegram bot and receive tailored copy for 7 platforms plus AI-generated square image and 9:16 vertical video, then auto-publish after Telegram approval

You need

n8n · telegram · atlascloud · blotato

Steps

1. Trigger: Receive post description from Telegram

   Configure a Telegram Trigger node in n8n to listen for message updates. The user sends any text message to the bot, which becomes the input description for generation. You must create a bot via @BotFather, add the token as a Telegram credential in n8n, and the user must start a chat with the bot first.

2. Configure and generate: Set variables and let GPT-4o mini output a multi-platform content package

   The Configuration node reads the Telegram message and sets variables: post_description, telegram_chat_id, image_model, image_size, image_quality, video_model, video_duration, video_aspect_ratio, video_resolution, output_language, brand_name. Then the AI Agent node (GPT-4o mini) receives the user message and system prompt, and uses a Structured Output Parser to enforce a 10-field JSON: x_post, linkedin_post, facebook_post, threads_post, instagram_caption, tiktok_caption, youtube_title, youtube_description, image_prompt, video_prompt.

   Execution prompt · Source text。Generate platform posts node User Message field (n8n AI Agent text parameter)

   Copy prompt

   =Create the social media content package for this post description:
   
   {{ $('Configuration').item.json.post_description }}
   
   Brand: {{ $('Configuration').item.json.brand_name }}
   Output language for all posts and captions: {{ $('Configuration').item.json.output_language }}
   (The image_prompt and video_prompt must always be written in English.)

   Execution prompt · Source text。Generate platform posts node System Message field (options.systemMessage)

   Copy prompt

   You are a senior social media content creator. From a single content description, you produce a complete multi-platform content package.
   
   Return ONLY the structured output. Rules per field:
   
   - x_post: max 280 characters, punchy hook, 2-3 hashtags, no links unless provided.
   - linkedin_post: professional and insightful, 4-8 short paragraphs with line breaks, one strong idea, 3-5 hashtags at the end, clear CTA.
   - facebook_post: friendly and conversational, 2-4 sentences, 2-3 hashtags, engagement CTA (like/comment/share).
   - threads_post: casual and conversational, max 500 characters, 1-2 hashtags.
   - instagram_caption: engaging caption for a Reel, 2-3 sentences with emojis, strong first line hook, 5-8 hashtags at the end.
   - tiktok_caption: short punchy caption for a TikTok video, with emojis, 3-5 trending hashtags.
   - youtube_title: catchy YouTube Shorts title, max 90 characters, no clickbait lies.
   - youtube_description: 2-3 sentences describing the Short, 3-5 hashtags.
   - image_prompt: detailed English prompt for a text-to-image model (GPT Image 2). Describe subject, composition, style, lighting, colors. Square format. Avoid any text or lettering in the image.
   - video_prompt: detailed English prompt for a text-to-video model (Seedance 2.0) generating a 5-second VERTICAL 9:16 short video with native audio. Describe the scene, camera movement, motion, mood, and sound/audio cues. One single continuous shot, dynamic and eye-catching for Reels/TikTok/Shorts.

3. Generate image: AtlasCloud GPT Image 2 with polling until ready

   Use an HTTP Request node to POST to https://api.atlascloud.ai/api/v1/model/generateImage with body fields: model (default openai/gpt-image-2/text-to-image), prompt (from previous step image_prompt), size (default 1024x1024), quality (default high). Authentication is HTTP Header Auth (Bearer token). Then a Wait node pauses 10 seconds, followed by another HTTP Request polling /api/v1/model/prediction/{id} until status is completed or succeeded.

4. Approve image: Telegram preview and auto-regeneration

   When the image is ready, a Telegram node sends it via sendPhoto with a caption preview. Then sendAndWait presents an approval message with Approve/Decline buttons. If declined, the flow returns to step 3 to regenerate the image with the same prompt; if approved, proceed to step 7 for publishing.

5. Generate video: AtlasCloud Seedance 2.0 with polling until ready

   In parallel to the image branch, an HTTP Request node POSTs to https://api.atlascloud.ai/api/v1/model/generateVideo with body fields: model (default bytedance/seedance-2.0/text-to-video), prompt (video_prompt), duration (default 5), aspect_ratio (9:16), resolution (720p). Wait 30 seconds, then poll the prediction endpoint until status is completed/succeeded.

6. Approve video: Telegram preview and auto-regeneration

   When the video is ready, a Telegram node sends it via sendVideo with an Instagram caption preview. sendAndWait requests approval. Declining returns to step 5 to regenerate; approving proceeds to step 8 for publishing.

7. Publish image: Push to X, LinkedIn, Facebook, Threads via Blotato

   After image approval, 4 parallel Blotato nodes publish to X (twitter), LinkedIn, Facebook, and Threads. Each node selects its accountId (Facebook also needs facebookPageId), sets postContentText from the corresponding platform copy, and postContentMediaUrls from the image URL. The 4 outputs merge into a Merge node, then a Telegram notification confirms image publication.

8. Publish video: Push to Instagram Reels, TikTok, YouTube Shorts via Blotato

   After video approval, 3 parallel Blotato nodes publish to Instagram Reels, TikTok, and YouTube Shorts. The TikTok node sets postCreateTiktokOptionIsAiGenerated=true; the YouTube Shorts node sets postCreateYoutubeOptionContainsSyntheticMedia=true plus title and description. The 3 outputs merge into a Merge node, then a Telegram notification confirms video publication.

You are setting up an n8n workflow: receive a description from Telegram, use GPT-4o mini to generate copy for 7 platforms plus media prompts, generate image/video via AtlasCloud, approve via Telegram, then auto-publish via Blotato. First confirm you have the required credentials and permissions: Telegram Bot Token, OpenAI API Key, AtlasCloud API Key, Blotato account with 7 social platforms authorized. Then import the template and configure each node's credential.