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Image Generation

Enable your AI agents to create and modify images using state-of-the-art models including GPT Image, DALL-E 3, and Gemini, transforming text prompts into visual content.

Your AI agents can do more than write text - they can create and modify images. ChatBotKit's Image Generation capabilities let your agents transform text descriptions into visual content using industry-leading models from OpenAI and Google. Whether you need product mockups, creative illustrations, or modified versions of existing images, your AI can generate them on demand.

Traditional chatbots are limited to text responses. With image generation abilities, your AI agents become creative partners that can visualize concepts, produce marketing assets, and iterate on visual ideas through conversation. Users describe what they want, and your agent delivers the image - no separate design tools required.

Key Capabilities

Multiple Model Options

Choose the right model for your use case. GPT Image 1.5 delivers enhanced quality and fidelity for detailed work. GPT Image 1 provides excellent results at a lower cost. DALL-E 3 offers creative artistic interpretations. Gemini Flash Image models from Google provide fast generation with strong contextual understanding. Each model has different strengths, and your agents can use whichever best fits the task.

Text-to-Image Generation

Describe what you want, and your AI creates it. Your agents accept natural language prompts and generate corresponding images. Add detailed directions to guide style, composition, and specific elements. The more specific the prompt, the more precise the result.

Image Editing and Modification

Start with existing images and transform them. Your AI can modify up to three images at once, applying changes based on your prompts. Combine elements from multiple source images, adjust styles, or evolve a concept through iterative refinement. This enables workflows where you progressively develop visual content through conversation.

Flexible Output Sizes

Generate images in multiple aspect ratios. Square (1024x1024) works for social media and thumbnails. Landscape (1536x1024) suits presentations and banners. Portrait (1024x1536) fits mobile screens and stories. The auto option lets the model choose the best dimensions for your content.

Seamless Agent Integration

Image generation works as abilities within your skillsets. Enable the image/generate or image/modify abilities, and your AI agents can create visual content as part of their normal operation. No separate API calls or manual intervention - just natural conversation that produces images when appropriate.

Real-World Use Cases

Marketing Content Creation

A marketing team asks their AI assistant to create social media graphics for an upcoming campaign. The agent generates multiple variations based on brand guidelines, then refines selected options through follow-up conversation. What previously required a design brief and back-and-forth with designers happens in minutes.

E-Commerce Product Visualization

An online store uses AI to generate product images from descriptions. New inventory gets visual representations immediately, helping customers understand products before detailed photography is available. The same AI can create lifestyle images showing products in context.

Educational Content Development

Course creators describe complex concepts, and their AI generates explanatory diagrams and illustrations. Technical subjects become more accessible when abstract ideas have visual representations. Updates to course material include refreshed visuals without waiting for a designer.

Creative Brainstorming

Design teams use image generation to explore visual directions quickly. Describe a concept, see a rough visualization, refine it through conversation. The AI becomes a rapid prototyping tool for visual ideas, helping teams align on direction before investing in polished production.

Customer Support Enhancement

Support agents use AI to generate annotated screenshots or instructional visuals while helping customers. Instead of searching for the right documentation image, the AI creates exactly what the current situation requires.

How It Works

Image generation is available through abilities in your skillset configuration:

  • image/generate: Creates new images from text prompts. Supports model selection and size configuration.
  • image/modify: Transforms existing images based on prompts. Accepts up to three source images for complex edits.

Model-specific abilities like image/generate[gpt-image-1.5] or image/generate[gemini-3.1-flash-image] give you precise control over which model handles generation when that matters for your use case.

When your AI decides an image would help answer a question or complete a task, it generates one using the configured ability. The result appears in the conversation like any other response, ready for the user to view, download, or request modifications.

Getting Started

Enable image generation for your AI agents through the skillset configuration in your ChatBotKit dashboard. Add the image generation abilities you want available, then update your agent's instructions to describe when and how it should create visual content.

Start with a general image/generate ability to give your agent flexibility, or use model-specific abilities when you need consistent results from a particular model. Combine with image/modify abilities to enable iterative refinement workflows.

Your AI agents gain the ability to visualize concepts, create assets, and enhance conversations with relevant imagery - making them more capable partners for any task where visual content adds value.