by Zakwan
This workflow is a user-friendly tool that automates the creation of high-quality advertising images for products. It takes a simple product image uploaded by a user and uses AI to transform it into a professional, photorealistic advertisement featuring a fashion model actively using the product. The final image is then made available for the user to download. Step-by-Step Breakdown: Here is a breakdown of the automated process: Form Submission: The workflow is triggered by a public form. The user uploads a product image and selects a character model (male or female) from a dropdown menu. Image Processing: The uploaded image file is extracted and prepared for the AI. This includes converting the binary file data into a format that the AI model can understand. AI Image Generation: An HTTP request is sent to a large language model (Google's Gemini via OpenRouter). The request includes a prompt that combines the user's selected character model and the uploaded product image. The AI is instructed to generate a new, photorealistic image of the model using the product. Data Conversion: The AI's output, which is a base64 encoded image string, is then processed. The workflow separates the image data from its metadata. Final Image Delivery: The base64 data is converted back into a binary file, which is then provided to the user for automatic download via a completion form.
by Arjan ter Heegde
n8n Placeholdarr for Plex (BETA) This flow creates dummy files for every item added in your *Arrs (Radarr/Sonarr) with the tag unprocessed-dummy. Itβs useful for maintaining a large Plex library without needing the actual movies or shows to be present on your Debrid provider. How It Works When a dummy file is played, the corresponding item is automatically monitored in *Arr and added to the download queue. This ensures that the content becomes available within ~3 minutes for playback. If the content finishes downloading while the dummy is still being played, Tautulli triggers a webhook that stops the stream and notifies the user. Requirements Each n8n node must have the correct URL and authorization headers configured. The SSH host (used to create dummy files) must have FFmpeg installed. A Trakt.TV API key is required if you're using Trakt collections. Warning > β οΈ This flow is currently in BETA and under active development. > It is not recommended for users without technical experience. > Keep an eye on the GitHub repository for updates. https://github.com/arjanterheegde/n8n-workflows-for-plex
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,