FLUX-fill Standalone
This workflow implements AI-based automated image editing. Users can upload or select images via a web page, draw local masks, and input text prompts, which then call the intelligent fill API for image content generation. The integrated canvas editing library and comparison slider component allow users to intuitively compare the original image with the generated image. The operation is simple and the effects are evident, greatly enhancing image editing efficiency and making it suitable for various scenarios such as e-commerce, graphic design, and advertising.
Tags
Workflow Name
FLUX-fill Standalone
Key Features and Highlights
This workflow implements an automated image editing process based on the FLUX AI image inpainting service. Users can upload or select images via a web-based interactive editor, perform local mask drawing and input text prompts, and invoke FLUX’s intelligent fill API to generate and replace image content. The edited image results are returned in real-time. The workflow integrates the Konva.js canvas editing library and an image comparison slider component, enabling users to intuitively compare the original and generated images. The operation is user-friendly and the effects are visually clear.
Core Problems Addressed
It solves the automation challenge of local intelligent image repair and generation, simplifying the traditionally complex manual drawing and retouching steps in image editing. By automating calls to the AI fill interface, it significantly improves the efficiency of image content creation and modification, especially suitable for scenarios requiring rapid generation or adjustment of image details.
Application Scenarios
- Local intelligent replacement and beautification of e-commerce product images
- Creative image content generation in graphic design
- Rapid modification and iteration of advertising and visual content
- Image processing requiring quick generation of transparent backgrounds or local fill effects
- Any scenario requiring local image generation based on masks and text prompts
Main Workflow Steps
- Receive user requests via Webhook and load the editor page
- User uploads or selects images from a default collection, edits masks using Konva.js, and inputs text prompts
- Trigger FLUX Fill HTTP request, submitting the original image, mask, prompt, and parameters to the FLUX AI fill API
- Poll the API to check the fill task status and wait for completion
- Retrieve the filled image data upon generation completion
- Return the generated image in binary format to the user, supporting real-time display and comparison on the web
- User can choose to save or continue editing
Involved Systems and Services
- FLUX AI Image Fill API (https://api.bfl.ml)
- n8n automation tool with HTTP request, Webhook, conditional logic, and wait nodes
- Konva.js image editing library and img-comparison-slider component
- Frontend HTML editor page integrating various JS and CSS resources
Target Users and Value
- Designers and content creators: Quickly achieve creative image content replacement and generation, enhancing design efficiency
- E-commerce operators: Conveniently optimize product image details to boost visual appeal
- Marketing professionals and advertising teams: Rapidly iterate advertising materials and shorten production cycles
- Developers and technical teams: Integrate as an intelligent image processing module within larger systems to support automated batch processing
- Any users needing AI-assisted rapid local image editing and generation
Overall, the FLUX-fill standalone workflow seamlessly integrates frontend interaction with backend intelligent fill services to realize fully automated local intelligent image generation. It greatly lowers the threshold and time cost of image editing, making it suitable for intelligent image processing needs across various industries and scenarios.
Translate Telegram Audio Messages with AI (55 Supported Languages) v1
This workflow implements intelligent translation of voice messages through a Telegram bot, supporting real-time voice-to-text conversion and bidirectional translation in 55 languages. Users simply need to send a voice message, and the system automatically detects the language and returns the translated text along with synthesized speech, facilitating cross-language communication. It is suitable for language learning, international travel, and business communication, greatly enhancing communication efficiency, eliminating language barriers, and providing users with a more convenient communication experience.
Automated Image Metadata Tagging
This workflow automatically generates keyword tags through intelligent analysis of newly uploaded images and embeds them into the image metadata, achieving automatic labeling of image content. It addresses the time-consuming and labor-intensive issues of traditional manual tagging, significantly improving the organization and retrieval efficiency of image resources. This is particularly suitable for scenarios that require efficient image management, such as media organizations, e-commerce platforms, and design teams. With this automated process, users can easily achieve intelligent image management and save on labor costs.
API Schema Crawler & Extractor
This workflow implements automated research, content retrieval, and operation extraction for API documentation. It combines web search, web crawling, and natural language processing technologies to support the generation of custom API architectures. Through intelligent analysis and multi-stage task management, it efficiently filters out irrelevant information, reduces manual parsing work, and stores API operations in a structured manner, thereby enhancing the efficiency of API integration and documentation maintenance. It is suitable for developers, product managers, and technical teams, significantly accelerating project progress and improving the accuracy of information collection.
YouTube Videos with AI Summaries on Discord
This workflow automatically monitors new videos from a specified YouTube channel, extracts English subtitles, and uses AI to generate a concise three-point summary, which is then pushed in real-time to a Discord channel. Through this process, users can quickly grasp the core content of the videos, saving time on watching while enhancing interaction and information dissemination within teams or communities. It is suitable for content creators, educational institutions, and anyone needing to efficiently share video information, simplifying the process of sharing video content.
Youtube Discord Bot
This workflow implements an intelligent Discord Q&A bot that can automatically respond to user inquiries about YouTube channel content. By combining the Google Gemini language model with contextual memory, users can receive accurate and personalized answers to their questions, while also supporting multi-turn conversations to enhance the interactive experience. The automated responses reduce the pressure on human customer service, ensuring quick and accurate replies, making it suitable for Discord community operators and content creators, effectively improving community engagement efficiency.
Build Your First AI MCP Server
This workflow integrates AI agents with Google Calendar to achieve natural language-driven calendar event management and text processing capabilities. Users can automatically search for, create, update, and delete calendar events while enjoying an intelligent interactive experience. It also supports diverse functions such as text case conversion, random user data generation, and joke retrieval, making it suitable for smart schedule management for both individuals and teams, thereby enhancing office efficiency and user experience.
OpenAI ImageGen1 Template
This workflow intelligently edits images by receiving users' chat messages and uploaded images, utilizing OpenAI's image editing API. Users only need to provide text prompts, and the system can automatically generate or modify high-quality images (1024x1024 resolution), converting the results into a manageable file format. This simplifies the image creation process, making it suitable for content creators, designers, and marketers, enhancing work efficiency and lowering the barriers to image editing.
Call Analyzer with AssemblyAI Transcription and OpenAI Assistant Integration
This workflow automates the processing of sales call recordings, providing high-accuracy audio-to-text transcription services and conducting in-depth analysis using AI. It utilizes AssemblyAI for speaker-labeled text transcription and employs the OpenAI GPT-4 model to assess customer intent and potential upsell opportunities. The results are ultimately stored in a structured format in a database for easy retrieval and management. This solution significantly enhances the communication efficiency and conversion rates of the sales team, helping to accurately grasp customer needs.