Image generation

Chief's Image Generation feature allows you to create visual content from textual descriptions. This feature directly translates natural language prompts into diverse visual outputs, enabling a wide range of creative and functional applications within the Chief platform.

Written By Mark Ku

Last updated About 4 hours ago

⚠️ Important: Image generation is more prone to errors like misspellings in charts and graphs. Make sure to double-check the underlying data before using it.

Key capabilities and underlying models

Chief integrates with leading AI models to deliver image generation:

1. DALL-E 3 (OpenAI)

Best for: General-purpose, creative, and artistic images

Key Strengths:

  • Fast generation (produces images in seconds)

  • Versatile across many styles: photorealistic, illustrated, painted, abstract

  • Excels at vivid, dream-like, and surreal imagery

  • Great for marketing materials, advertisements, and social media

  • Handles complex, detailed prompts well

  • Ideal for business presentations and product visualization

Ideal use cases:

  • Creative and artistic content (illustrations, concept art)

  • Marketing and promotional materials

  • Quick iterations and exploring multiple creative directions

  • Product mockups and visualizations

2. Banana (Gemini 2.5 Flash Image)

Best for: Images with readable text and character consistency

Key Strengths:

  • #1 ranked on LMArena for image generation

  • High-fidelity text rendering (logos, signs, labels, diagrams)

  • Maintains character consistency across multiple images

  • Supports 10 different aspect ratios

  • Negative prompts to exclude unwanted elements

Ideal use cases:

  • Logos with text, book covers, and signage

  • Infographics and educational diagrams

  • Marketing materials combining imagery and typography

  • Brand assets requiring clear text

  • Character designs needing consistency across images

3. Imagen 3 (Google)

Best for: Photorealistic images

Key Strengths:

  • Superior photorealism with lifelike details

  • Exceptional texture rendering (materials, fabrics, surfaces)

  • Precise prompt adherence (follows instructions literally)

  • Professional-quality realistic imagery

Ideal use cases:

  • Product photography

  • Realistic portraits of people and animals

  • Architectural visualization and interior design

  • Nature and landscape photography

  • Food photography

  • Fashion and clothing photography

Implementation Details

When a user initiates an image generation request, Chief translates the generic ImageGenerationRequest parameters into the specific API calls and configurations required by the chosen AI model (e.g., OpenAI's DALL-E 3 or Google's Imagen/Gemini). The system then processes the model's output, which might involve fetching image data from a temporary URL or decoding Base64 data. Any errors, such as a failed to generate image or an image being blocked by safety filters, are captured and communicated to ensure transparency and user awareness.