AI Image Generation Templates

This n8n workflow automates the generation of images using Bannerbear, allowing businesses to create dynamic visuals effortlessly. By leveraging predefined templates, it eliminates the need for manual design, making the process efficient and scalable. This is particularly beneficial for marketing teams aiming to produce consistent branded content rapidly.

This n8n workflow template automates the creation of webhooks to trigger AI-powered image generation using the Midjourney and Kling APIs. By integrating these services, users can efficiently generate motion illustrations without manual intervention. The workflow ensures that image creation is initiated only when specific conditions are met, providing a seamless and automated experience for users. This setup is particularly beneficial for content creators and marketers looking to enhance visual content production while saving time and reducing errors.

This workflow automates the detailed analysis of an image by extracting its content and metadata using AI-powered tools. It provides users with insights into image attributes and context, allowing for enhanced understanding of visual elements. This automation is useful for businesses and individuals needing quick, accurate information from images without manual analysis.

This workflow automates the process of converting image files such as JPG and PNG into URLs by uploading them to ImgBB, which provides hosting and URL generation. It also reduces the file size of these images using ReSmush.it, an effective optimization service. Additionally, the workflow offers the optional functionality of generating new images using OpenAI's advanced image generation capabilities. This comprehensive solution not only simplifies image hosting and optimization processes but also enhances the efficiency of managing digital assets, making it invaluable for businesses and individuals seeking to streamline their workflow.

This n8n workflow allows users to generate AI images from text prompts using the Hugging Face API, store these images in an S3-compatible storage like Cloudflare R2, and return a public URL for easy sharing. The workflow streamlines the process of AI image creation and distribution, providing a cost-effective solution for users looking to leverage AI capabilities without extensive technical knowledge. It enhances productivity by automating image generation and storage, thus saving time and resources.

This n8n workflow automates the collection of images from web searches based on a predefined query, such as 'street'. It utilizes AWS Rekognition to identify and label these images, storing the results in a Google Sheet. This process streamlines data collection and analysis, enhancing productivity by reducing manual effort and improving accuracy in image labeling and data management.

This workflow automates the process of validating images using AI vision technology. It streamlines the image validation tasks by integrating artificial intelligence, thus reducing manual oversight and enhancing accuracy. By leveraging AI, users can efficiently manage large volumes of images, ensuring they meet specified criteria without the need for human intervention. This not only saves time but also improves the reliability of image validation processes.

This n8n workflow template is designed to perform image recognition using local LLMs on Ollama. It automatically loads a random image and converts it to base64 format, sending it to an AI agent for analysis. Key benefits include streamlined image processing and enhanced AI integration, making it ideal for developers looking to leverage AI capabilities without extensive manual intervention. This workflow is particularly valuable for applications requiring quick and accurate image recognition, offering a seamless way to integrate advanced machine learning models into existing systems.

This workflow automates the creation of image captions using Google's Gemini 1.5 Pro. It pulls an image from a specified URL, generates a caption via AI, and overlays the caption onto the image. This seamless process enhances image content, making it more engaging and informative, saving time and effort in manual captioning, and improving the quality of visual communication.

This n8n workflow automates the process of generating 9:16 aspect ratio images using AI technology, triggered by a webhook. It splits tasks to handle multiple requests simultaneously, enhancing efficiency in image processing. This setup is ideal for content creators and marketers who need to produce high-quality images quickly. By streamlining image generation, it saves time and reduces manual effort, allowing users to focus on creative aspects rather than technical challenges.

 This **n8n workflow template** automates the process of collecting and delivering the **"Top Deals of the Day" from MediaMarkt**, tailored to user preferences. By combining **user-submitted forms**, **Bright Data web scraping**, **GPT-4o-mini deal generation**, and **email delivery**, this workflow sends **personalized product recommendations** straight to a user’s inbox. > ⚠️ *Note: This workflow uses community nodes (Bright Data and Document Generator) which only work on **self-hosted n8n instances***. ---

This n8n workflow serves as an automation tool for generating AI-powered images based on specific triggers via an HTTP webhook. It efficiently processes requests to create images without manual intervention, saving time and reducing errors. By integrating AI capabilities, it enhances creative processes for developers and content creators, offering a seamless and scalable solution for image generation needs.

This workflow seamlessly integrates Dall-E 3 with Slack to enable users to generate images from text prompts directly within Slack channels. It automates the creative process, enhancing team collaboration and efficiency by providing instant visual content. Users can quickly transform ideas into images without leaving their workspace, saving time and improving productivity.

This n8n workflow automates the creation of a virtual try-on video using the Kling API, displaying a model wearing a garment with a 360° view. It simplifies the generation of realistic fashion videos, enhancing online apparel displays by providing dynamic visual content, which can boost customer engagement and sales by offering a comprehensive view of the product.

This n8n workflow facilitates AI-driven image generation by converting text prompts into visually appealing images using Hugging Face's Inference API. The generated images are then hosted on Cloudflare's S3, making them easily accessible through a web page. This workflow streamlines the image creation process, saving time and enhancing creativity by automating repetitive tasks, which is particularly beneficial for artists, marketers, and content creators who require quick and efficient image generation based on customized prompts.

This workflow automates the extraction of AI-generated logo data from image sheets and transfers it seamlessly into Airtable. It is designed to streamline the process of managing and organizing large volumes of image data, ensuring efficiency and accuracy. By automating these tasks, it reduces manual effort, minimizes errors, and enhances productivity for teams dealing with AI image generation.

This workflow automates the creation of cinematic quote videos in Thai by using AI to generate images and video content, overlaying dynamic quotes with ambient sound, and uploading the final product to YouTube. Additionally, it updates a Google Sheet with the video URL. It streamlines production, enhances creativity, and saves time, making it an invaluable tool for content creators and marketers.

This n8n workflow automates the process of generating AI images using OpenAI's capabilities. By leveraging HTTP Stickynote for webhook integration, it streamlines image creation tasks, saving time and enhancing productivity. Ideal for creative professionals, this workflow ensures consistent and rapid image generation, minimizing manual intervention.

This n8n workflow automates the process of adding text to downloaded images, significantly enhancing visual content for diverse applications. By seamlessly integrating services, it retrieves images, overlays custom text, and outputs the final product efficiently. This saves time and effort, making it ideal for content creators, marketers, and businesses looking to quickly generate branded images. The workflow's automation reduces manual image editing tasks, increases productivity, and ensures consistency in visual branding efforts.

This n8n workflow automates the process of downloading an image from a specified URL and adding custom text to it. Triggered manually, it fetches the image and overlays the text 'This is n8n', making it ideal for branding and personalization tasks. The workflow simplifies image processing by automating repetitive tasks, saving time, and reducing manual errors. Users can easily modify the text and URL for various applications, enhancing flexibility and productivity in content creation and digital marketing efforts.

This workflow transforms Telegram into a personal AI assistant that understands text, audio, and images, continuously learning from interactions, and saves key information in a vector database using Retrieval-Augmented Generation (RAG). It captures information from Telegram, answers questions using a Pinecone vector store, stores knowledge in Google Docs, and learns daily by updating the vector store.

This n8n workflow enables the creation of 360° virtual try-on videos for clothing using the Kling API. It automates the process of generating interactive video content, enhancing the online shopping experience by allowing customers to visualize products in a virtual environment. The workflow saves time and reduces manual efforts in video production, providing an engaging way to showcase fashion items. By streamlining the virtual try-on process, it enhances customer satisfaction and boosts engagement.

This n8n workflow automates the removal of complex backgrounds from images stored in Google Drive, streamlining the editing process for users. Utilizing AI image generation capabilities, it enhances efficiency by automatically processing images and isolating subjects with precision. This saves time and reduces manual editing efforts, making it ideal for professionals handling large volumes of images.

This workflow automates the process of tagging images with AI-generated keywords and embeds these keywords directly into the image metadata. It streamlines image management by reducing manual tagging tasks, ensuring consistent and accurate metadata entries. This enhances searchability and organization, saving time and improving efficiency in digital asset handling.

This n8n workflow automates the creation of text images using the Free DummyJSON API through the HTTP Request node. It streamlines the process of generating visually appealing text images for various applications such as social media posts or marketing materials. By automating this task, users save time and ensure consistent quality in their visual content, making it an essential tool for marketers and content creators.

How it works: 1️⃣ Telegram Trigger The Telegram Trigger node listens for messages from a Telegram bot. The user sends a command (e.g., /generate A futuristic city with neon lights). This message is passed to the AI Agent for processing. 2️⃣ AI Agent (Groq Chat Model) This node acts as a chatbot that understands the user input. It extracts the prompt (e.g., "A futuristic city with neon lights"). The processed data is sent to the Code node. 3️⃣ Code Node This node formats the extracted prompt into a structured JSON request. The JSON request is prepared for the Replicate API. 4️⃣ HTTP Request (POST) This node sends a POST request to https://api.replicate.com/v1/predictions to generate an image. The request includes: Model: flux-dev Input Prompt: "A futuristic city with neon lights" Other Parameters: Image size, inference steps, etc. The API returns a response containing a status URL to check progress. 5️⃣ Wait Node (Delay for Processing) Since image generation takes time, this node waits 5-10 seconds before checking the status. 6️⃣ HTTP Request (GET) This node sends a GET request to the status_url retrieved earlier. It checks whether the image generation is completed. If the status is "succeeded", it extracts the image URL. If the status is "processing", it loops back to the Wait node and retries after a few seconds. 7️⃣ Telegram (Send Photo) Once the image is successfully generated, this node sends the image back to the user on Telegram. The user receives a generated AI image directly in the chat. 🔹 How to Use Set Up Your Telegram Bot Create a Telegram bot via @BotFather. Get the Bot Token and add it to the Telegram Trigger node in n8n. Get Replicate API Key Sign up on Replicate. Get your API Key from your account settings. Add it to the HTTP Request nodes as an Authorization header. Start n8n Workflow Ensure n8n is running. Activate the workflow. Use Telegram to Generate Images Send a command to your bot: /generate A futuristic city with neon lights Wait for 5-10 seconds for processing. Receive the AI-generated image in Telegram.

This n8n workflow enhances user interaction and content delivery by integrating a Telegram AI bot with Ollama and ComfyUI to generate both text and images on demand. Users can engage with the bot to request and receive AI-generated creative content. The workflow streamlines the process of content creation, offering a seamless experience for both text and image generation, thus boosting user engagement and satisfaction.

This n8n workflow automates the process of downloading an image from Google Drive, analyzing it using multiple local Ollama Vision Models, and generating comprehensive markdown descriptions of the analyses. The results are then saved to a Google Docs file. It enables users to compare the efficacy of different image analysis models, providing insights into model performance and facilitating better decision-making in AI-driven image processing tasks.

This n8n workflow automates the creation of orthographic views for 3D figurines using Midjourney and GPT-4o-Image API. It streamlines the design process by generating accurate and detailed image perspectives, reducing manual effort and increasing efficiency. Ideal for designers and artists, it enhances productivity and ensures high-quality outputs.

This n8n workflow template streamlines the image creation process by integrating OpenAI's DALLE-3, allowing users to automatically generate images from text prompts. It is particularly beneficial for content creators, marketers, and developers who need to produce visual content efficiently. By automating the image generation process, it reduces manual effort, speeds up content production, and ensures high-quality outputs that can be customized according to specific needs.

Build an intelligent Telegram chatbot that chats in natural language and generates images on demand using OpenAI – powered by n8n. This workflow turns your Telegram bot into an AI assistant that detects the user’s language, responds with empathy using GPT-4, adds emojis, and handles the /image command to generate and send images. It also responds with a typing action for realism and provides error messages for unsupported commands. ⚠️ Important: This template only works on self-hosted n8n instances as it uses community nodes and OpenAI integration. Secure API credential management is required. 🔑 Key Features: ✅ Natural language replies via GPT-4 ✅ Image generation with /image command ✅ Auto-detection of user language ✅ Personalized, emoji-rich responses ✅ “Typing” chat action for a human-like feel ✅ Welcome message with /start ✅ Fallback for unsupported commands 🛠️ How It Works: Bot receives text messages via Telegram It checks whether it’s a command or regular text For text, GPT-4 replies in user’s language with friendly tone For /image, it generates and sends an image /start triggers a warm welcome Invalid commands return helpful guidance ⚙️ Setup & Customization: 🔧 OpenAI integration for Chat & Images 🔧 Adjustable temperature and token settings 🔧 Customizable system prompt 🔧 Secure Telegram & OpenAI credential handling 🔧 Behavior driven by commands 💡 Recommended for users with basic n8n knowledge. 🚀 Bring AI to your Telegram bot with smart conversations and on-demand image generation.

This workflow empowers users to create images procedurally using Bannerbear by manually triggering the process in n8n. It leverages a specified template and allows for custom modifications, making it ideal for generating personalized visual content efficiently. Users benefit from automation that reduces the time and effort required for image creation, ensuring consistency and customization in visual assets, which is particularly valuable for marketing, social media, and content creation teams.

The 'Code Editimage Automation Webhook' workflow efficiently automates the process of handling image editing requests through a webhook. By leveraging the Edit Image service, it streamlines image manipulation tasks, significantly enhancing the efficiency and productivity of content management workflows. This solution is beneficial for organizations seeking to automate repetitive image editing tasks, saving time and reducing manual effort, thus allowing teams to focus on more strategic activities.

This n8n workflow is designed to automate the extraction and tagging of image metadata, streamlining the process for AI image generation projects. By automating the collection and organization of metadata, users can efficiently manage large volumes of image data, thus reducing manual workload and increasing productivity. The workflow enhances accuracy and consistency in metadata tagging, which is crucial for AI applications that rely on precise data input to deliver high-quality outputs. With seamless integration into existing processes, this tool is essential for teams focused on optimizing AI image generation and analytics.

This n8n workflow automates the weekly task of creating and sharing engaging content by fetching a random cocktail recipe from TheCocktailDB every Friday at 6 PM. It then uses Bannerbear to generate a visually appealing image with the recipe details. Finally, the image is automatically posted to a designated Rocket.Chat channel. This automation ensures consistent and timely content delivery, enhances audience engagement with visually attractive posts, and saves time by eliminating manual content creation and posting.

This n8n workflow automates image transformation by converting ordinary images into a Lego style using advanced AI tools like Line and Dall-E. By integrating an HTTP Webhook, it facilitates seamless image processing from input to output, enhancing creative projects with unique, stylized visuals. This automation saves time and effort, providing consistent results for designers and marketers needing quick, artistic transformations.

This n8n workflow automates the conversion of images into 3D models via a webhook trigger, optimizing the process for industries reliant on digital imaging and 3D modeling. By integrating seamlessly into existing systems, it reduces manual effort, increases efficiency, and enhances the accuracy of 3D model generation, making it invaluable for designers, architects, and developers. The automation ensures timely and consistent conversion, facilitating smoother project workflows and improving productivity in creative and technical fields.

This n8n workflow automates image generation from text prompts using Google Imagen 3 via the Replicate API, streamlining creative processes by transforming text ideas into visual content. It integrates various services like HTTP and IF nodes to manage requests, conditions, and responses, ensuring a seamless and efficient automation. Ideal for creative professionals seeking to enhance productivity by minimizing manual interventions.

This n8n workflow automates the generation of images via an API, triggered by incoming webhooks. By streamlining the image creation process, it eliminates manual input, reduces errors, and saves time. Ideal for businesses needing rapid image generation, it enhances productivity and ensures consistent results without the repetitive tasks traditionally involved in AI image creation.

The 'Editimage Manual Automation Webhook' workflow streamlines image editing by integrating Langchain's AI capabilities with Google Drive for efficient storage management. Users can submit image editing requests through a webhook, which are then processed by Langchain's language model to produce edited images. This setup reduces manual effort, enhances productivity, and ensures quick access to edited images directly in Google Drive, making it ideal for businesses and individuals requiring frequent image modifications without the hassle of manual edits.

This workflow streamlines the process of image management by automatically analyzing images uploaded to a specific Google Drive folder. It leverages AI to extract relevant keywords that describe the image's content, embedding these as metadata within the image file. This enriched metadata is then updated in the original Google Drive file, enhancing searchability and organization. By automating these tasks, users can save time, improve data accuracy, and ensure that images are properly tagged without manual intervention.

This n8n workflow automates the task of generating captions for images using the Gemini 1.5 Pro language model. It efficiently fetches images from Pexels, resizes them, and utilizes the GoogleGeminiAPI to generate relevant captions. The captions are then overlaid onto the original images, which are saved to Google Drive and Cloudinary. This automation streamlines image processing, enhances creativity, and reduces manual effort in captioning tasks, making it a valuable tool for content creators and marketers.

The 'Code Editimage Automation Webhook' workflow streamlines image processing by leveraging Langchain for language models and Google Drive for efficient file management. It automates tasks such as image compression, information extraction, and editing through a webhook trigger, enhancing productivity and reducing manual effort for image-related tasks.

The 'Manual Editimage Create Webhook' workflow automates the receipt of image editing requests through a webhook, processes these requests using advanced image editing tools, and delivers the edited images back to the requester. This streamlines the traditionally manual task of image editing, significantly enhancing efficiency, reducing turnaround times, and improving workflow responsiveness. It is particularly valuable for businesses and individuals who handle a high volume of image editing tasks, as it eliminates the need for manual intervention at each step, allowing for faster and more consistent outputs. By integrating automated image processing, users can ensure that the edited images meet their specifications without the usual manual workload, making their operations more scalable and reliable.

This n8n workflow allows users to build a custom image search tool by integrating AI object detection, a content delivery network (CDN), and ElasticSearch. It automates the process of identifying objects within images, storing and indexing them for quick retrieval, and delivering them efficiently via a CDN. This workflow is beneficial for businesses needing to manage large image databases, enhancing search accuracy and speed while reducing manual effort.

This workflow automates the process of dynamically adding text to an image based on data received from an HTTP request. By fetching an image from a URL and modifying it with query parameters from a webhook, it enables users to create personalized images quickly and efficiently. This is especially beneficial for businesses needing to generate customized visual content on the fly, reducing manual design time and enhancing user engagement.

Easily generate images with Black Forest's Flux Text-to-Image AI models using Hugging Face’s Inference API. This template serves a webform where you can enter prompts and select predefined visual styles that are customizable with no-code. The workflow integrates seamlessly with Hugging Face's free tier, and it’s easy to modify for any Text-to-Image model that supports API access.

This workflow leverages n8n's automation capabilities to streamline the creation of graphic wallpapers by integrating with Midjourney, GPT-4o-mini, and Canvas APIs. By automating the process, users can generate unique images efficiently, reducing manual effort. The workflow is ideal for designers and content creators seeking to enhance productivity and creativity with AI-powered tools.

This n8n workflow automates the collection and labeling of images from the web using a search query. It utilizes AWS Rekognition to detect labels in the images and stores the results in Google Sheets. This process streamlines image gathering, analysis, and documentation, saving time and improving accuracy by eliminating manual effort and ensuring organized data storage.

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