🎨 Interactive image editor with FLUX.1 fill tool for inpainting
> Like this template? Connect with Eduard via LinkedIn. This workflow is a prototype of an AI-powered image editing interface, similar to Photoshop's Generative Fill feature, but running entirely in the browser. It provides a web-based editor that allows users to: Select areas in images using an adjustable brush tool Input text prompts to guide the AI generation Compare original and generated images side by side Iterate on edits with different prompts and settings Save or reuse generated images > 🎨 Perfect for product catalog management, seasonal content updates, and creative image editing tasks! 📋 Requirements -------------- FLUX API Access: You'll need API credentials from FLUX to use this workflow. Configure the HTTP Header Auth credential in n8n with your FLUX API key 🔧 Key Components ---------------- FLUX Fill API for AI-powered image generation Konva.js for canvas manipulation img-comparison-slider for result visualization Custom CSS/JS for editor functionality Simple Editor Interface HTML page with an editor is served on the Webhook call Adjustable brush selection tool Provides several mock examples and allows uploading custom images Basic prompt and FLUX model parameter controls Image Processing Pipeline Handles image and mask separately Processes FLUX Fill API requests Delivers results back to the editor Result Viewer Split-screen comparison of original and generated images Interactive slider for before/after comparison Options to save or continue editing Support for multiple iteration cycles 🎯 Use Cases ----------- This prototype is particularly useful for: Testing AI-powered image editing concepts Quick product visualization experiments Exploring creative image variations Demonstrating inpainting capabilities > 💡 Pro Tip: Save masks for frequently edited areas to quickly generate variations with different prompts! The workflow can be extended to integrate with various data sources and can be customized for specific business needs.
By EduardDetect hallucinations using specialised Ollama model bespoke-minicheck
Fact-Checking Workflow Documentation Overview This workflow is designed for automated fact-checking of texts. It uses AI models to compare a given text with a list of facts and identify potential discrepancies or hallucinations. Components Input The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'" trigger b) By calling from another workflow via the "When Executed by Another Workflow" trigger Required inputs: facts: A list of verified facts text: The text to be checked Text Preparation The "Code" node splits the input text into individual sentences Takes into account date specifications and list elements Fact Checking Each sentence is individually compared with the given facts Uses the "bespoke-minicheck" Ollama model for verification The model responds with "Yes" or "No" for each sentence Filtering and Aggregation Sentences marked as "No" (not fact-based) are filtered The filtered results are aggregated Summary A larger language model (Qwen2.5) creates a summary of the results The summary contains: Number of incorrect factual statements List of incorrect statements Final assessment of the article's accuracy Usage Ensure the "bespoke-minicheck" model is installed in Ollama (ollama pull bespoke-minicheck) Prepare a list of verified facts Enter the text to be checked Start the workflow The results are output as a structured summary Notes The workflow ignores small talk and focuses on verifiable factual statements Accuracy depends on the quality of the provided facts and the performance of the AI models Customization Options The summarization function can be adjusted or removed to return only the raw data of the issues found The AI models used can be exchanged if needed This workflow provides an efficient method for automated fact-checking and can be easily integrated into larger systems or editorial workflows.
By Guido ZockollDiscover trending topics with Bright Data MCP, GPT analysis & Trello integration
This workflow automatically identifies trending topics and hashtags across social media platforms to keep you informed of current trends and viral content. It saves you time by eliminating the need to manually research trending topics and provides data-driven insights for content strategy and social media planning. Overview This workflow automatically scrapes trending hashtag platforms and social media sites to extract currently trending topics, hashtags, and viral content themes. It uses Bright Data to access trend data sources without restrictions and AI to intelligently analyze trending content and provide actionable insights for content creators and marketers. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping trend platforms and social media without being blocked OpenAI: AI agent for intelligent trend analysis and content insights Google Sheets: For storing trending topics data and analysis results How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your trending topics tracking spreadsheet Customize: Define target trend platforms and topics of interest Use Cases Content Marketing: Discover trending topics for timely and relevant content creation Social Media Strategy: Plan posts around viral hashtags and trending themes Brand Monitoring: Track if your brand or industry topics are trending Influencer Marketing: Identify trending content opportunities for collaborations Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) n8n automation trendingtopics hashtags brightdata webscraping contentmarketing n8nworkflow workflow nocode socialmediatrends trendanalysis viralcontent contentresearch socialmediamonitoring trendtracking contentdiscovery hashtagresearch socialmediamarketing contentautomation trendmonitoring socialmediainsights contentplanning trendalerts viralmarketing socialtrends contentoptimization trendingcontent socialmediadata contentintelligence
By Yaron Been