The platform allows users to select the most appropriate AI model for their specific image generation or editing needs. Users can start by choosing a model such as GPT Images 2.0 for general prompt-led generation, Nano Banana 2 for controlled reference editing and subject consistency, or Seedream 5 Lite for structured visuals like infographics and presentations. After model selection, users add text prompts, upload reference images, and adjust settings like aspect ratio, quality, and resolution. The system then generates the initial output, which can be further refined through iterative adjustments to prompts, references, or even by switching to a different model within the same workflow.
Key Use Cases
- Text-to-Image Generation: Create product visuals, marketing images, and conceptual art from descriptive text prompts.
- Image-to-Image Editing: Modify existing images or continue visual styles using reference images.
- Reference Editing: Maintain subject consistency and render text accurately in images.
- Structured Visuals: Design posters, ad creatives, ecommerce graphics, explainers, and presentation images that require specific layouts and information visualization.
- Model Comparison: Directly compare outputs from different AI models to determine the best fit for a task.