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Overview

Generated images appear inline as thumbnails in the conversation and can be viewed full-size or downloaded. Images are automatically saved to a dedicated folder within the attachment Artifact bucket for easy access and management. To use image generation, you need:
  • An LLM model that supports image generation (e.g., GPT-5.2, GPT-5.1, DALL-E 3, DALL-E 2)
  • Image creation enabled in your chat or agent
  • An image generation model configured and selected in your project (SettingsProjectAI Providers)
  • Proper project configuration by your administrator
If the Image creation module is not available, contact your administrator to enable image generation for your project.

Accessing Image Generation

Image generation is available in two primary locations:

From Chat

Enable image generation for ad-hoc conversations.
  1. Go to your chat.
  2. In the chat toolbar, select +.
  3. Select ModulesImage creation in the list.
  4. Toggle Image creation on to enable it.
  5. Use the model selector to choose a model with image generation capabilities (e.g., GPT-5.2, GPT-5.1, DALL-E 3). Enable image creation in chat
This option is available only to projects with the configured image generation provider toolkit. Without this toolkit, the option is silently omitted from the list. Contact your administrator if you cannot see the option.

In Agent

Configure image generation as a persistent capability for an agent.
  1. Open the agent you want to configure (or create and opena new agent).
  2. Scroll down to TOOLS.
  3. In TOOLS, find Modules.
  4. Find Image creation. If it is not immediately visible, select Show all to see the full list of modules.
  5. Toggle Image creation on.
  6. Use the model selector to choose a model with image generation capabilities (e.g., GPT-5.2, GPT-5.1, DALL-E 3).
  7. Select Save. Enable image creation for agents
Enabling Image creation at the agent level means every new chat that uses this agent has image generation available by default, and you should not enable it manually every time.

How to Generate Images

Once enabled, generating images is as simple as asking the AI assistant:
  1. In the message input field, type a prompt describing the image you want to create.
  2. Press Send or hit Enter. ELITEA will automatically invoke the image generation tool.
  3. Generated image(s) will appear inline in the conversation. Generate image
  • Image Count: Maximum 10 images per generation request
  • Model Dependency: Available features depend on the specific image generation model
  • Quality vs Speed: Higher quality images take longer to generate
  • Size Constraints: Maximum image size varies by model configuration
Example Prompts:
  • “Generate an image of a sunset over mountains”
  • “Create a diagram showing a microservices architecture”
  • “Generate an illustration of a friendly robot assistant”
  • “Make an image of a modern office workspace”
The AI will automatically invoke the image generation tool and return the generated image(s) inline in the conversation.
You can customize images by including details in your prompt:Number of Images:
  • “Generate 3 variations of a logo design”
  • You can request up to 10 images per generation
Image Quality:
  • “Generate a high-quality image of a product mockup”
  • Options: auto (default), low, medium, high
  • Quality setting depends on the underlying model capabilities
Image Size:
  • “Create a 1024x1024 image of a landscape”
  • Default: auto (model-dependent)
  • Common sizes: 256x256, 512x512, 1024x1024, 1024x1792, etc.
  • Available sizes depend on the specific image generation model
Style:
  • “Generate an image in a watercolor style”
  • Describe the artistic style you want
You can refine images through conversation:
  1. Initial Generation: “Generate an image of a modern kitchen”
  2. Review: View the generated thumbnail
  3. Refinement: “Make it brighter and add more natural light”
  4. Iteration: Continue refining until satisfied

Viewing and Managing Generated Images

Generated images appear as thumbnails in the conversation. Hover over any image to access management options: Fullscreen View:
  • Click the thumbnail to open fullscreen modal
  • Press Escape or click outside to close Fuul size image
Download:
  • Click the Download icon to save the image locally
  • Images are also accessible from Artifacts → attachment bucket, inside the folder
  • You can download images from Artifacts at any time Download image
Access from Artifacts:
  • Navigate to Artifacts in the main menu
  • Open the attachment bucket
  • Navigate to the folder inside the bucket
  • All generated images are stored here with timestamps
  • Download, delete, or manage images from this centralized location Artifact
Delete:
  • Hover over the generated image thumbnail in the chat to reveal the action buttons overlay
  • Select Delete (trash icon, appears on hover)
  • A confirmation dialog opens showing the image filename
  • The dialog includes an “Also delete from attachment storage” checkbox (unchecked by default)
    • Leave it unchecked to remove the image only from the chat view
    • Check it to delete the file from the attachment bucket in Artifacts
  • Select Delete to confirm deletion Fuul size image
Generated images are automatically saved in Artifacts in the attachment bucket, inside a dedicated images folder. This folder is created automatically the first time you generate an image if it doesn’t already exist.

Usage Scenarios

Use Case: Generate architecture diagrams, flowcharts, or system designsExample Prompts:
  • “Create a diagram showing a three-tier web application architecture with load balancer, web servers, and database”
  • “Generate a flowchart for a user authentication process”
  • “Make a network diagram showing VPN connection between offices”
Best Practices:
  • Be specific about components and relationships
  • Mention diagram type (flowchart, sequence diagram, architecture diagram)
  • Specify colors or styles if needed
  • Request multiple variations to choose the best one
Use Case: Create visual content for presentations, documentation, or creative projectsExample Prompts:
  • “Generate an illustration of a team collaborating in a modern office”
  • “Create a hero image for a SaaS landing page showing productivity features”
  • “Make an icon set for a project management application”
Best Practices:
  • Describe the mood and style (modern, minimalist, vibrant, professional)
  • Specify color schemes when important
  • Include context about the intended use
  • Generate multiple options for comparison
Use Case: Quickly visualize UI/UX concepts or product designsExample Prompts:
  • “Generate a mockup of a mobile app dashboard for fitness tracking”
  • “Create a landing page design for an AI-powered writing assistant”
  • “Make a product card design for an e-commerce website”
Best Practices:
  • Specify device type (mobile, tablet, desktop)
  • Mention key UI elements to include
  • Describe the color palette and brand style
  • Request specific layout patterns if needed
Use Case: Create charts, graphs, or infographics from described dataExample Prompts:
  • “Generate a bar chart comparing quarterly sales for 2024”
  • “Create an infographic showing the software development lifecycle”
  • “Make a pie chart showing market share distribution”
Best Practices:
  • Clearly describe the data and labels
  • Specify chart type (bar, line, pie, scatter)
  • Mention color preferences for different data series
  • Include title and axis labels in your description
Use Case: Generate visual aids for learning materialsExample Prompts:
  • “Create an illustration explaining how photosynthesis works”
  • “Generate a diagram showing the layers of the OSI network model”
  • “Make an image demonstrating proper ergonomic sitting posture”
Best Practices:
  • Focus on clarity and simplicity
  • Request labels or annotations
  • Use clear, step-by-step descriptions
  • Consider your audience’s technical level
Use Case: Create branded visuals for marketing campaignsExample Prompts:
  • “Generate a social media post image announcing a product launch”
  • “Create a banner image for an email newsletter about new features”
  • “Make a promotional image for a webinar on AI automation”
Best Practices:
  • Specify dimensions for the target platform
  • Include brand colors and style guidelines
  • Mention text placement areas if needed
  • Generate variations for A/B testing

Best Practices

Crafting Effective Prompts

Instead of: “Generate a logo”Try: “Generate a modern, minimalist logo for a cloud storage company using blue and white colors, featuring a cloud icon”Why: Specific prompts yield more accurate results that match your vision.
Instead of: “Make an office image”Try: “Create an image of a modern open-plan office with collaborative workspaces for a tech startup presentation”Why: Context helps the AI understand the intended use and style.
Instead of: “Generate a landscape”Try: “Generate a serene mountain landscape at sunset with warm orange and purple tones in a photorealistic style”Why: Style descriptions guide the aesthetic direction.
Instead of: Single generation and hoping for the bestTry: “Generate 3 different versions of a dashboard UI, each with a different color scheme”Why: Multiple variations provide options to choose from.

Managing Generated Content

  • Download images promptly with descriptive filenames
  • Use browser download management or dedicated folders
  • Consider version numbers for iterative designs
  • Keep related images together for project work
  • Review initial generation critically
  • Provide feedback for refinement (“make it brighter”, “add more detail”)
  • Build on successful elements from previous generations
  • Save intermediate versions you might want to reference
  • Keep a record of effective prompts
  • Note which models work best for specific types of images
  • Document style preferences that yield consistent results
  • Share successful prompt patterns with your team

Performance Optimization

  • Use faster models for quick iterations
  • Switch to high-quality models for final outputs
  • Consider model capabilities for specific image types
  • Monitor generation times and adjust accordingly
  • Generate multiple variations in one request when possible
  • Avoid requesting too many images at once (max 10)
  • Balance quantity with quality for better results

Troubleshooting

Possible Causes:
  • Image creation is not enabled
  • No image generation provider toolkit configured for the project — the Image creation option is filtered out of the popup entirely when this toolkit is absent
  • Modules are hidden from the chat toolbar because the project has no modules available
  • Network connectivity issues
Solutions:
  1. Enable Image creation in Modules.
  2. If the Image creation option is not visible in the popup, ask your administrator to add an image generation integration.
  3. If Modules are missing from the chat toolbar entirely, contact your administrator to verify project configurations.
  4. Refresh the page and try again.
Error Message: “Image generation requested but no image generation model configured”Cause: The module is enabled, but the selected model lacks image generation capabilities.Solution:
  1. Select a different model with image generation support
  2. Verify model configuration with your administrator
  3. Check integration settings for the image generation endpoint
Possible Causes:
  • Image data format error
  • Browser compatibility issues
  • Base64 encoding problems
  • Network interruption during generation
Solutions:
  1. Refresh the page and regenerate the image
  2. Try a different browser (Chrome, Firefox, Edge)
  3. Check browser console for errors
  4. Ensure stable network connection
Possible Causes:
  • Vague or ambiguous prompts
  • Quality parameter set too low
  • Model limitations
  • Size constraints
Solutions:
  1. Refine your prompt: Add more specific details and context
  2. Request higher quality: Explicitly ask for “high-quality” images
  3. Try different models: Some models excel at specific image types
  4. Specify larger sizes: Request specific dimensions (e.g., 1024x1024)
Possible Causes:
  • Browser blocking downloads
  • Base64 conversion error
  • Network timeout
  • Insufficient browser storage
Solutions:
  1. Check browser download permissions
  2. Try right-clicking the image and “Save Image As”
  3. Refresh and try download again
  4. Clear browser cache and retry
Possible Causes:
  • Complex prompts requiring more processing
  • High-quality/large size settings
  • Server load or API rate limits
  • Network latency
Solutions:
  1. Simplify your prompt for faster generation
  2. Use “auto” quality setting initially
  3. Generate one image at a time instead of multiple
  4. Wait for current operations to complete
  5. Try during off-peak hours if rate limited