Create viral videos from reference images with VIDU & upload to YouTube/TikTok

This workflow automates the process of creating short videos from multiple image references (up to 7 images). It uses "Vidu Reference to Video" model, a video generation API to transform a user-provided prompt and image set into a consistent, AI-generated video.

This workflow automates the process of generating AI-powered videos from a set of reference images and then uploading them to TikTok and Youtube. The process is initiated via a user-friendly web form.

Advantages

• ✅ Consistent Video Creation: Uses multiple reference images to maintain subject consistency across frames.
• ✅ Easy Input: Just a simple form with prompt + image URLs.
• ✅ Automation: No manual waiting—workflow checks status until video is ready.
• ✅ SEO Optimization: Automatically generates a catchy, optimized YouTube title using AI.
• ✅ Multi-Platform Publishing: Uploads directly to Google Drive, YouTube, and TikTok in one flow.
• ✅ Time Saving: Removes repetitive tasks of video generation, download, and manual uploading.
• ✅ Scalable: Can run periodically or on-demand, perfect for content creators and marketing teams.
• ✅ UGC & Social Media Ready: Designed for creating viral short videos optimized for platforms like TikTok and YouTube Shorts.

How It Works

1. Form Trigger: A user submits a web form with two key pieces of information: a text Prompt describing the desired video and a list of Reference images (URLs separated by commas or new lines).
2. Data Processing: The workflow processes the submitted image URLs, converting them from a text string into a proper array format for the AI API.
3. AI Video Generation: The processed data (prompt and image array) is sent to the Fal.ai VIDU API endpoint (reference-to-video) to start the video generation job. This node returns a request_id.
4. Status Polling: The workflow enters a loop where it periodically checks the status of the generation job using the request_id. It waits for 60 seconds and then checks if the status is "COMPLETED". If not, it waits and checks again.
5. Result Retrieval: Once the video is ready, the workflow fetches the URL of the generated video file.
6. Title Generation: Simultaneously, the original user prompt is sent to an AI model (GPT-4o-mini via OpenRouter) to generate an optimized, engaging title for the social media post.
7. Upload & Distribution:
   • The video file is downloaded from the generated URL.
   • A copy is saved to a specified Google Drive folder for storage.
   • The video, along with the AI-generated title, is automatically uploaded to YouTube and TikTok via the Upload-Post.com API service.

Set Up Steps

This workflow requires configuration and API keys from three external services to function correctly.

Step 1: Configure Fal.ai for Video Generation

1. Create an account and obtain your API key.
2. In the "Create Video" HTTP node, edit the "Header Auth" credentials.
3. Set the following values:
   • Name: Authorization
   • Value: Key YOUR_FAL_API_KEY (replace YOUR_FAL_API_KEY with your actual key)

Step 2: Configure Upload-Post.com for Social Media Uploads

1. Get an API key from your Upload-Post Manage Api Keys dashboard (10 free uploads per month).
2. In both the "HTTP Request" (YouTube) and "Upload on TikTok" nodes, edit their "Header Auth" credentials.
3. Set the following values:
   • Name: Authorization
   • Value: Apikey YOUR_UPLOAD_POST_API_KEY (replace YOUR_UPLOAD_POST_API_KEY with your actual key)
4. Crucial: In the body parameters of both upload nodes, find the user field and replace YOUR_USERNAME with the exact name of the social media profile you configured on Upload-Post.com (e.g., my_youtube_channel).

Step 3: Configure Google Drive (Optional Storage) The "Upload Video" node is pre-configured to save the video to a Google Drive folder named "Fal.run". Ensure your Google Drive credentials in n8n are valid and that you have access to this folder, or change the folderId parameter to your desired destination.

Step 4: Configure AI for Title Generation The "Generate title" node uses OpenAI to access the gpt-5-mini model..

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